Creator ยท wondelai
Last updated ยท Sep 2, 2026
Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, desig
Creator ยท wondelai
Last updated ยท Sep 2, 2026
Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, desig
Creator ยท wondelai
Last updated ยท Sep 2, 2026
Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, desig
Creator ยท wondelai
Last updated ยท Sep 2, 2026
Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, desig
Review then install
Install targets
Codex install prompt
Install the "conversion-optimization" agent skill from https://github.com/wondelai/skills/tree/main/conversion-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invok After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wondelai-conversion-optimization","task":"Install conversion-optimization","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wondelai/skills --skill conversion-optimization
Maintenance
fresh
7d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
2.1K
80/100 Quality ยท 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
2.1K GitHub stars
Repo activity
2.1K stars, 214 forks
Maintenance
7d since push
License
MIT
Install
npx skills add wondelai/skills --skill conversion-optimization
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wondelai/skills --skill conversion-optimizationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wondelai-conversion-optimization/install
Agent should check
Copy prompt
Task: Use conversion-optimization in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install
Install command: npx skills add wondelai/skills --skill conversion-optimization
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wondelai-conversion-optimization/install
LLM text format
/api/skills/wondelai-conversion-optimization/install?format=text
Find alternatives
/api/skills/search?q=conversion-optimization&limit=3
Agent prompt
Use conversion-optimization for this task. Review https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install, then install with: npx skills add wondelai/skills --skill conversion-optimizationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wondelai-conversion-optimization
LLM text
/api/registry/manifest/wondelai-conversion-optimization?format=text
Install alias
/api/registry/install/wondelai-conversion-optimization
Recommend
/api/registry/recommend?task=Use%20conversion-optimization%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS2.1K GitHub stars
Stars/forks activity
INFO2.1K stars, 214 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: conversion-optimization description: 'Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.' license: MIT metadata: author: wondelai version: "1.0.0" ---
# Conversion Optimization
Turn one leaking conversion flow โ a landing page, a signup, a checkout, an in-app onboarding โ into a measured, tested funnel. This is an interactive, resumable journey of seven phases: the agent asks before every decision and records the outcome in your project's `docs/` folder, so you can stop after any phase and pick up later. It works on websites and inside products alike; the unit of work is the flow and its ONE action, not the whole site.
## Core Principle
**Find the leak with numbers, learn the reason from customers, fix message โ offer โ proof โ friction in that order, and prove every fix with a pre-committed test.** The order is causal: a number tells you *where*, only research tells you *why*, motivation must be raised before friction-cutting pays, and an untested fix is a guess that compounds. This skill sequences the phases, asks the decision questions, and records every choice in `docs/`. The constituent skills carry the method โ invoke them rather than improvising their frameworks.
## Journey Map
| Phase | Skill | Question it answers | Artifact | |---|---|---|---| | 1 | lean-analytics | Where does the flow actually leak, and what is the one metric? | Extends docs/METRICS.md โ GATE | | 2 | cro-methodology | Why do people drop at the leak โ which objections and friction? | Creates docs/FUNNEL.md; extends docs/EXPERIMENTS.md โ GATE | | 3 | storybrand-messaging | Does the leaking step promise the visitor's own desired outcome in five seconds? | Extends docs/POSITIONING.md + docs/FUNNEL.md + docs/EXPERIMENTS.md | | 4 | hundred-million-offers | Is the offer at the conversion point worth acting on now? | Extends docs/OFFER.md + docs/EXPERIMENTS.md | | 5 | influence-psychology | Is there honest proof at every point of doubt? | Extends docs/FUNNEL.md + docs/EXPERIMENTS.md | | 6 | design-everyday-things | Can a visitor who decided to act complete the flow without stumbling? | Extends docs/FUNNEL.md + docs/DESIGN.md + docs/EXPERIMENTS.md | | 7 | cro-methodology | Will we know the fix worked โ pre-committed metric, sample size, no peeking? | Extends docs/EXPERIMENTS.md + docs/METRICS.md |
## Operating Rules
1. **Resume first.** Before anything else, read `docs/CONVERSION-OPTIMIZATION-PLAN.md` and every artifact in the Journey Map. If the tracker exists, summarize the journey state in 3-5 lines and ask which phase to enter. Done when the user has confirmed an entry point. A journey with a tracker is resumed, never restarted. 2. **Intake on first run only.** No tracker: run the Intake below, then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` with every phase statused `pending | in-progress | awaiting-evidence | done | deferred: reason | skipped: reason`. Done when the tracker exists and the user has confirmed the phase plan. 3. **Phase entry.** Announce: what the phase does, the decision it forces, the artifact it produces, rough effort. Offer proceed / skip / defer โ phases marked GATE may be deferred, never skipped. Mark the phase `in-progress` on proceed. Done when the user chose. 4. **Skill invocation and fallback.** Load the phase's skill and use it: each phase's Invoke line names the skill by slug โ use that skill to run the phase. If it is not available, offer: `npx skills add wondelai/skills/<slug> --global`. If the user declines, run the phase from its Brief โ the minimum viable method. State which mode you are in. 5. **In-phase decisions.** Ask every question under "Decide with the user" โ with concrete options and your recommendation. Record the choice in the tracker's Key Decisions. A decision made silently is a defect. 6. **Phase exit.** Present the draft artifact content for sign-off before writing. On approval: write or extend the docs/ files, update the tracker (status, Key Decisions, Next Actions). Done when the files are written and the phase row shows `done`. 7. **Artifact discipline.** Read before writing; create a file only if missing, otherwise extend โ add or update your sections, preserve everyone else's. Files are UPPERCASE in `docs/`. Every recommendation lands as a checkbox or a table row with owner and priority. See [references/artifact-templates.md](references/artifact-templates.md) when creating a docs/ file for the first time โ create it from the full skeleton (all section headings), then fill the sections your phase names. 8. **Measure, research, then change โ and every change is a test.** No fix ships without a Phase 1 leak and a Phase 2 researched reason behind it, and every shipped change lands in docs/EXPERIMENTS.md with a pre-committed primary metric and a guardrail. A fix with no research behind it goes back to Phase 2; a bold change with no test attached stays in the backlog until it has one.
## Intake
Ask these before creating the tracker:
1. **Which flow are we optimizing, and what is the ONE action at its end?** (Scopes every phase โ a flow with three competing CTAs has no goal.) 2. **Where do the numbers say people drop** โ analytics, funnel steps, cohort data? Paste what you have. (Feeds the Phase 1 leak diagnosis; no instrumentation means Phase 1 starts by adding it.) 3. **Roughly how much traffic or volume enters the flow per week?** (Gates Phase 7 โ decides whether A/B tests can reach significance or the journey leans on qualitative evidence and before/after windows.) 4. **What voice-of-customer sources exist or can be gotten** โ exit surveys, session recordings, support tickets, sales calls, reviews โ and can you paste or export the raw text of the best one? (Phase 2 objections must quote the customer's own words, so the phase needs the content, not just the source name.) 5. **What is the current offer at the conversion point** โ price, guarantee, bonuses โ and can it change? (Gates Phase 4; a contractually fixed offer narrows it to presentation.) 6. **Do docs/POSITIONING.md or docs/OFFER.md already exist from another journey?** (Phases 3-4 build on them rather than restarting.) 7. **How much of the journey do you want now?** (Phases 1-2 are the mandatory diagnosis; 3-6 are the fix passes aimed by it; 7 turns fixes into proof.)
Skip heuristics: skip Phase 3 when messaging was already validated (e.g. an improve-website journey completed its message phases); skip Phase 4 when the offer is fixed by contract โ record `skipped: reason`. Phase 7 may be `deferred: reason` at very low traffic in favor of before/after evidence with an explicit revert trigger, never silently skipped. Never skip Phases 1-2 โ an unfound leak and an unresearched reason turn every later phase into guessing.
Then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` from the template and confirm the plan. Done when the tracker exists with every phase statused and the user has confirmed the plan.
## Phases
Phases run in the listed order โ each assumes the previous phase's artifact exists. Any phase can be entered, skipped, or deferred per the Operating Rules, but Phases 1-2 gate them all: nothing downstream fixes a problem that isn't a measured leak with a researched reason. When running any phase from its Brief (constituent skill not installed), read [references/methods.md](references/methods.md) first โ it carries each phase's full method, checklists, formulas, and benchmarks; the Brief is only the summary.
### Phase 1 โ Find the leak (lean-analytics) โ GATE
**Purpose:** Locate where the flow actually loses people and pick the one metric this journey moves โ before any opinion about why.
**Brief (fallback):** A good metric is a comparative ratio that changes what you do next; totals and cumulative charts are vanity. Express each step of the flow as a conversion rate, compare against your own history and published benchmarks (e-commerce converts ~1-3% of visitors; landing pages on paid traffic low single digits), and find the biggest absolute drop on the highest-value path. Pick the One Metric That Matters for this journey, pair it with a counter-metric so it can't be gamed (signup rate ร 30-day retention), and draw a line in the sand: target, date, pre-committed miss response. Cohort and segment (channel, device, plan) โ one collapsing segment hides inside a flat average.
**Invoke:** Use the `lean-analytics` skill with the flow steps and analytics from intake. Ask for a step-by-step funnel table with baselines and benchmarks, the OMTM plus counter-metric for this journey, and the biggest leak ranked by absolute lost value.
**Decide with the user:** (1) Confirm the OMTM and its counter-metric. (2) Which leak to attack first โ biggest absolute loss on the money path, not the easiest percentage. (3) If instrumentation is missing, which minimal events to add first โ the phase stays `awaiting-evidence` until the numbers exist.
**Artifact:** Extend docs/METRICS.md `## Funnel` (stage | conversion | benchmark | bottleneck?), `## Stage & One Metric That Matters`, and `## Baselines & Targets`. Update the tracker.
**Done when:** the funnel is measured at the coarsest granularity that still localizes the leak to a single step, the OMTM and counter-metric are recorded with a line in the sand, and the leak is named โ only then are Phases 2-7 unlocked. Finer sub-steps awaiting instrumentation stay `awaiting-evidence` in Next Actions and do not block the journey, provided the named leak does not depend on them.
### Phase 2 โ Research why they leave (cro-methodology) โ GATE
**Purpose:** Replace guesses about the leak with evidence from real visitors. Phases 3-6 may only fix problems traceable to a finding here.
**Brief (fallback):** Don't guess โ discover. Mine primary sources (a one-question exit survey: "What's preventing you from [action] today?"; post-conversion: "What almost stopped you?"; chat logs, tickets, sales calls) and secondary sources (reviews, competitors) for the customer's own words. Sort objections into the Big 5 โ Trust, Price, Fit, Timing, Effort โ and build the O/CO table: every objection gets an evidence-backed counter placed at the exact step the doubt arises, never in an FAQ. Diagnose each step with the LIFT lenses (value proposition ยฑ clarity, relevance, urgency, minus anxiety and distraction โ Goward) and the MECLABS heuristic (conversion rises with motivation and value clarity, falls with friction and anxiety). Rank fix hypotheses by ICE and apply the 10x screen: if a change couldn't plausibly double the step, don't queue it.
**Invoke:** Use the `cro-methodology` skill with the Phase 1 leak, the flow, and the voice-of-customer sources from intake. Ask for the researched objection list in customer words, the O/CO table with placements, missing persuasion assets, and an ICE-ranked hypothesis backlog.
**Decide with the user:** (1) Which researched objection is the primary leak driver. (2) Low traffic: accept qualitative plus heuristic evidence โ explicitly. (3) Which implicit objections
Source provenance
Decision snapshot
2,078 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for conversion-optimization, ready for a manual X post.
conversion-optimization: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onb... 2.1K stars https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x
Listing + install path for conversion-optimization: https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x Install: npx skills add wondelai/skills --skill conversion-optimization
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to wondelai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Review then install
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Install targets
Codex install prompt
Install the "conversion-optimization" agent skill from https://github.com/wondelai/skills/tree/main/conversion-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invok After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wondelai-conversion-optimization","task":"Install conversion-optimization","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wondelai/skills --skill conversion-optimization
Maintenance
fresh
7d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
2.1K
80/100 Quality ยท 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
2.1K GitHub stars
Repo activity
2.1K stars, 214 forks
Maintenance
7d since push
License
MIT
Install
npx skills add wondelai/skills --skill conversion-optimization
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wondelai/skills --skill conversion-optimizationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wondelai-conversion-optimization/install
Agent should check
Copy prompt
Task: Use conversion-optimization in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install
Install command: npx skills add wondelai/skills --skill conversion-optimization
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wondelai-conversion-optimization/install
LLM text format
/api/skills/wondelai-conversion-optimization/install?format=text
Find alternatives
/api/skills/search?q=conversion-optimization&limit=3
Agent prompt
Use conversion-optimization for this task. Review https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install, then install with: npx skills add wondelai/skills --skill conversion-optimizationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wondelai-conversion-optimization
LLM text
/api/registry/manifest/wondelai-conversion-optimization?format=text
Install alias
/api/registry/install/wondelai-conversion-optimization
Recommend
/api/registry/recommend?task=Use%20conversion-optimization%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS2.1K GitHub stars
Stars/forks activity
INFO2.1K stars, 214 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: conversion-optimization description: 'Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.' license: MIT metadata: author: wondelai version: "1.0.0" ---
# Conversion Optimization
Turn one leaking conversion flow โ a landing page, a signup, a checkout, an in-app onboarding โ into a measured, tested funnel. This is an interactive, resumable journey of seven phases: the agent asks before every decision and records the outcome in your project's `docs/` folder, so you can stop after any phase and pick up later. It works on websites and inside products alike; the unit of work is the flow and its ONE action, not the whole site.
## Core Principle
**Find the leak with numbers, learn the reason from customers, fix message โ offer โ proof โ friction in that order, and prove every fix with a pre-committed test.** The order is causal: a number tells you *where*, only research tells you *why*, motivation must be raised before friction-cutting pays, and an untested fix is a guess that compounds. This skill sequences the phases, asks the decision questions, and records every choice in `docs/`. The constituent skills carry the method โ invoke them rather than improvising their frameworks.
## Journey Map
| Phase | Skill | Question it answers | Artifact | |---|---|---|---| | 1 | lean-analytics | Where does the flow actually leak, and what is the one metric? | Extends docs/METRICS.md โ GATE | | 2 | cro-methodology | Why do people drop at the leak โ which objections and friction? | Creates docs/FUNNEL.md; extends docs/EXPERIMENTS.md โ GATE | | 3 | storybrand-messaging | Does the leaking step promise the visitor's own desired outcome in five seconds? | Extends docs/POSITIONING.md + docs/FUNNEL.md + docs/EXPERIMENTS.md | | 4 | hundred-million-offers | Is the offer at the conversion point worth acting on now? | Extends docs/OFFER.md + docs/EXPERIMENTS.md | | 5 | influence-psychology | Is there honest proof at every point of doubt? | Extends docs/FUNNEL.md + docs/EXPERIMENTS.md | | 6 | design-everyday-things | Can a visitor who decided to act complete the flow without stumbling? | Extends docs/FUNNEL.md + docs/DESIGN.md + docs/EXPERIMENTS.md | | 7 | cro-methodology | Will we know the fix worked โ pre-committed metric, sample size, no peeking? | Extends docs/EXPERIMENTS.md + docs/METRICS.md |
## Operating Rules
1. **Resume first.** Before anything else, read `docs/CONVERSION-OPTIMIZATION-PLAN.md` and every artifact in the Journey Map. If the tracker exists, summarize the journey state in 3-5 lines and ask which phase to enter. Done when the user has confirmed an entry point. A journey with a tracker is resumed, never restarted. 2. **Intake on first run only.** No tracker: run the Intake below, then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` with every phase statused `pending | in-progress | awaiting-evidence | done | deferred: reason | skipped: reason`. Done when the tracker exists and the user has confirmed the phase plan. 3. **Phase entry.** Announce: what the phase does, the decision it forces, the artifact it produces, rough effort. Offer proceed / skip / defer โ phases marked GATE may be deferred, never skipped. Mark the phase `in-progress` on proceed. Done when the user chose. 4. **Skill invocation and fallback.** Load the phase's skill and use it: each phase's Invoke line names the skill by slug โ use that skill to run the phase. If it is not available, offer: `npx skills add wondelai/skills/<slug> --global`. If the user declines, run the phase from its Brief โ the minimum viable method. State which mode you are in. 5. **In-phase decisions.** Ask every question under "Decide with the user" โ with concrete options and your recommendation. Record the choice in the tracker's Key Decisions. A decision made silently is a defect. 6. **Phase exit.** Present the draft artifact content for sign-off before writing. On approval: write or extend the docs/ files, update the tracker (status, Key Decisions, Next Actions). Done when the files are written and the phase row shows `done`. 7. **Artifact discipline.** Read before writing; create a file only if missing, otherwise extend โ add or update your sections, preserve everyone else's. Files are UPPERCASE in `docs/`. Every recommendation lands as a checkbox or a table row with owner and priority. See [references/artifact-templates.md](references/artifact-templates.md) when creating a docs/ file for the first time โ create it from the full skeleton (all section headings), then fill the sections your phase names. 8. **Measure, research, then change โ and every change is a test.** No fix ships without a Phase 1 leak and a Phase 2 researched reason behind it, and every shipped change lands in docs/EXPERIMENTS.md with a pre-committed primary metric and a guardrail. A fix with no research behind it goes back to Phase 2; a bold change with no test attached stays in the backlog until it has one.
## Intake
Ask these before creating the tracker:
1. **Which flow are we optimizing, and what is the ONE action at its end?** (Scopes every phase โ a flow with three competing CTAs has no goal.) 2. **Where do the numbers say people drop** โ analytics, funnel steps, cohort data? Paste what you have. (Feeds the Phase 1 leak diagnosis; no instrumentation means Phase 1 starts by adding it.) 3. **Roughly how much traffic or volume enters the flow per week?** (Gates Phase 7 โ decides whether A/B tests can reach significance or the journey leans on qualitative evidence and before/after windows.) 4. **What voice-of-customer sources exist or can be gotten** โ exit surveys, session recordings, support tickets, sales calls, reviews โ and can you paste or export the raw text of the best one? (Phase 2 objections must quote the customer's own words, so the phase needs the content, not just the source name.) 5. **What is the current offer at the conversion point** โ price, guarantee, bonuses โ and can it change? (Gates Phase 4; a contractually fixed offer narrows it to presentation.) 6. **Do docs/POSITIONING.md or docs/OFFER.md already exist from another journey?** (Phases 3-4 build on them rather than restarting.) 7. **How much of the journey do you want now?** (Phases 1-2 are the mandatory diagnosis; 3-6 are the fix passes aimed by it; 7 turns fixes into proof.)
Skip heuristics: skip Phase 3 when messaging was already validated (e.g. an improve-website journey completed its message phases); skip Phase 4 when the offer is fixed by contract โ record `skipped: reason`. Phase 7 may be `deferred: reason` at very low traffic in favor of before/after evidence with an explicit revert trigger, never silently skipped. Never skip Phases 1-2 โ an unfound leak and an unresearched reason turn every later phase into guessing.
Then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` from the template and confirm the plan. Done when the tracker exists with every phase statused and the user has confirmed the plan.
## Phases
Phases run in the listed order โ each assumes the previous phase's artifact exists. Any phase can be entered, skipped, or deferred per the Operating Rules, but Phases 1-2 gate them all: nothing downstream fixes a problem that isn't a measured leak with a researched reason. When running any phase from its Brief (constituent skill not installed), read [references/methods.md](references/methods.md) first โ it carries each phase's full method, checklists, formulas, and benchmarks; the Brief is only the summary.
### Phase 1 โ Find the leak (lean-analytics) โ GATE
**Purpose:** Locate where the flow actually loses people and pick the one metric this journey moves โ before any opinion about why.
**Brief (fallback):** A good metric is a comparative ratio that changes what you do next; totals and cumulative charts are vanity. Express each step of the flow as a conversion rate, compare against your own history and published benchmarks (e-commerce converts ~1-3% of visitors; landing pages on paid traffic low single digits), and find the biggest absolute drop on the highest-value path. Pick the One Metric That Matters for this journey, pair it with a counter-metric so it can't be gamed (signup rate ร 30-day retention), and draw a line in the sand: target, date, pre-committed miss response. Cohort and segment (channel, device, plan) โ one collapsing segment hides inside a flat average.
**Invoke:** Use the `lean-analytics` skill with the flow steps and analytics from intake. Ask for a step-by-step funnel table with baselines and benchmarks, the OMTM plus counter-metric for this journey, and the biggest leak ranked by absolute lost value.
**Decide with the user:** (1) Confirm the OMTM and its counter-metric. (2) Which leak to attack first โ biggest absolute loss on the money path, not the easiest percentage. (3) If instrumentation is missing, which minimal events to add first โ the phase stays `awaiting-evidence` until the numbers exist.
**Artifact:** Extend docs/METRICS.md `## Funnel` (stage | conversion | benchmark | bottleneck?), `## Stage & One Metric That Matters`, and `## Baselines & Targets`. Update the tracker.
**Done when:** the funnel is measured at the coarsest granularity that still localizes the leak to a single step, the OMTM and counter-metric are recorded with a line in the sand, and the leak is named โ only then are Phases 2-7 unlocked. Finer sub-steps awaiting instrumentation stay `awaiting-evidence` in Next Actions and do not block the journey, provided the named leak does not depend on them.
### Phase 2 โ Research why they leave (cro-methodology) โ GATE
**Purpose:** Replace guesses about the leak with evidence from real visitors. Phases 3-6 may only fix problems traceable to a finding here.
**Brief (fallback):** Don't guess โ discover. Mine primary sources (a one-question exit survey: "What's preventing you from [action] today?"; post-conversion: "What almost stopped you?"; chat logs, tickets, sales calls) and secondary sources (reviews, competitors) for the customer's own words. Sort objections into the Big 5 โ Trust, Price, Fit, Timing, Effort โ and build the O/CO table: every objection gets an evidence-backed counter placed at the exact step the doubt arises, never in an FAQ. Diagnose each step with the LIFT lenses (value proposition ยฑ clarity, relevance, urgency, minus anxiety and distraction โ Goward) and the MECLABS heuristic (conversion rises with motivation and value clarity, falls with friction and anxiety). Rank fix hypotheses by ICE and apply the 10x screen: if a change couldn't plausibly double the step, don't queue it.
**Invoke:** Use the `cro-methodology` skill with the Phase 1 leak, the flow, and the voice-of-customer sources from intake. Ask for the researched objection list in customer words, the O/CO table with placements, missing persuasion assets, and an ICE-ranked hypothesis backlog.
**Decide with the user:** (1) Which researched objection is the primary leak driver. (2) Low traffic: accept qualitative plus heuristic evidence โ explicitly. (3) Which implicit objections
Source provenance
Decision snapshot
2,078 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for conversion-optimization, ready for a manual X post.
conversion-optimization: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onb... 2.1K stars https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x
Listing + install path for conversion-optimization: https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x Install: npx skills add wondelai/skills --skill conversion-optimization
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to wondelai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Install targets
Codex install prompt
Install the "conversion-optimization" agent skill from https://github.com/wondelai/skills/tree/main/conversion-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invok After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wondelai-conversion-optimization","task":"Install conversion-optimization","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wondelai/skills --skill conversion-optimization
Maintenance
fresh
7d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
2.1K
80/100 Quality ยท 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
2.1K GitHub stars
Repo activity
2.1K stars, 214 forks
Maintenance
7d since push
License
MIT
Install
npx skills add wondelai/skills --skill conversion-optimization
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wondelai/skills --skill conversion-optimizationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wondelai-conversion-optimization/install
Agent should check
Copy prompt
Task: Use conversion-optimization in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install
Install command: npx skills add wondelai/skills --skill conversion-optimization
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wondelai-conversion-optimization/install
LLM text format
/api/skills/wondelai-conversion-optimization/install?format=text
Find alternatives
/api/skills/search?q=conversion-optimization&limit=3
Agent prompt
Use conversion-optimization for this task. Review https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install, then install with: npx skills add wondelai/skills --skill conversion-optimizationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wondelai-conversion-optimization
LLM text
/api/registry/manifest/wondelai-conversion-optimization?format=text
Install alias
/api/registry/install/wondelai-conversion-optimization
Recommend
/api/registry/recommend?task=Use%20conversion-optimization%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS2.1K GitHub stars
Stars/forks activity
INFO2.1K stars, 214 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: conversion-optimization description: 'Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.' license: MIT metadata: author: wondelai version: "1.0.0" ---
# Conversion Optimization
Turn one leaking conversion flow โ a landing page, a signup, a checkout, an in-app onboarding โ into a measured, tested funnel. This is an interactive, resumable journey of seven phases: the agent asks before every decision and records the outcome in your project's `docs/` folder, so you can stop after any phase and pick up later. It works on websites and inside products alike; the unit of work is the flow and its ONE action, not the whole site.
## Core Principle
**Find the leak with numbers, learn the reason from customers, fix message โ offer โ proof โ friction in that order, and prove every fix with a pre-committed test.** The order is causal: a number tells you *where*, only research tells you *why*, motivation must be raised before friction-cutting pays, and an untested fix is a guess that compounds. This skill sequences the phases, asks the decision questions, and records every choice in `docs/`. The constituent skills carry the method โ invoke them rather than improvising their frameworks.
## Journey Map
| Phase | Skill | Question it answers | Artifact | |---|---|---|---| | 1 | lean-analytics | Where does the flow actually leak, and what is the one metric? | Extends docs/METRICS.md โ GATE | | 2 | cro-methodology | Why do people drop at the leak โ which objections and friction? | Creates docs/FUNNEL.md; extends docs/EXPERIMENTS.md โ GATE | | 3 | storybrand-messaging | Does the leaking step promise the visitor's own desired outcome in five seconds? | Extends docs/POSITIONING.md + docs/FUNNEL.md + docs/EXPERIMENTS.md | | 4 | hundred-million-offers | Is the offer at the conversion point worth acting on now? | Extends docs/OFFER.md + docs/EXPERIMENTS.md | | 5 | influence-psychology | Is there honest proof at every point of doubt? | Extends docs/FUNNEL.md + docs/EXPERIMENTS.md | | 6 | design-everyday-things | Can a visitor who decided to act complete the flow without stumbling? | Extends docs/FUNNEL.md + docs/DESIGN.md + docs/EXPERIMENTS.md | | 7 | cro-methodology | Will we know the fix worked โ pre-committed metric, sample size, no peeking? | Extends docs/EXPERIMENTS.md + docs/METRICS.md |
## Operating Rules
1. **Resume first.** Before anything else, read `docs/CONVERSION-OPTIMIZATION-PLAN.md` and every artifact in the Journey Map. If the tracker exists, summarize the journey state in 3-5 lines and ask which phase to enter. Done when the user has confirmed an entry point. A journey with a tracker is resumed, never restarted. 2. **Intake on first run only.** No tracker: run the Intake below, then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` with every phase statused `pending | in-progress | awaiting-evidence | done | deferred: reason | skipped: reason`. Done when the tracker exists and the user has confirmed the phase plan. 3. **Phase entry.** Announce: what the phase does, the decision it forces, the artifact it produces, rough effort. Offer proceed / skip / defer โ phases marked GATE may be deferred, never skipped. Mark the phase `in-progress` on proceed. Done when the user chose. 4. **Skill invocation and fallback.** Load the phase's skill and use it: each phase's Invoke line names the skill by slug โ use that skill to run the phase. If it is not available, offer: `npx skills add wondelai/skills/<slug> --global`. If the user declines, run the phase from its Brief โ the minimum viable method. State which mode you are in. 5. **In-phase decisions.** Ask every question under "Decide with the user" โ with concrete options and your recommendation. Record the choice in the tracker's Key Decisions. A decision made silently is a defect. 6. **Phase exit.** Present the draft artifact content for sign-off before writing. On approval: write or extend the docs/ files, update the tracker (status, Key Decisions, Next Actions). Done when the files are written and the phase row shows `done`. 7. **Artifact discipline.** Read before writing; create a file only if missing, otherwise extend โ add or update your sections, preserve everyone else's. Files are UPPERCASE in `docs/`. Every recommendation lands as a checkbox or a table row with owner and priority. See [references/artifact-templates.md](references/artifact-templates.md) when creating a docs/ file for the first time โ create it from the full skeleton (all section headings), then fill the sections your phase names. 8. **Measure, research, then change โ and every change is a test.** No fix ships without a Phase 1 leak and a Phase 2 researched reason behind it, and every shipped change lands in docs/EXPERIMENTS.md with a pre-committed primary metric and a guardrail. A fix with no research behind it goes back to Phase 2; a bold change with no test attached stays in the backlog until it has one.
## Intake
Ask these before creating the tracker:
1. **Which flow are we optimizing, and what is the ONE action at its end?** (Scopes every phase โ a flow with three competing CTAs has no goal.) 2. **Where do the numbers say people drop** โ analytics, funnel steps, cohort data? Paste what you have. (Feeds the Phase 1 leak diagnosis; no instrumentation means Phase 1 starts by adding it.) 3. **Roughly how much traffic or volume enters the flow per week?** (Gates Phase 7 โ decides whether A/B tests can reach significance or the journey leans on qualitative evidence and before/after windows.) 4. **What voice-of-customer sources exist or can be gotten** โ exit surveys, session recordings, support tickets, sales calls, reviews โ and can you paste or export the raw text of the best one? (Phase 2 objections must quote the customer's own words, so the phase needs the content, not just the source name.) 5. **What is the current offer at the conversion point** โ price, guarantee, bonuses โ and can it change? (Gates Phase 4; a contractually fixed offer narrows it to presentation.) 6. **Do docs/POSITIONING.md or docs/OFFER.md already exist from another journey?** (Phases 3-4 build on them rather than restarting.) 7. **How much of the journey do you want now?** (Phases 1-2 are the mandatory diagnosis; 3-6 are the fix passes aimed by it; 7 turns fixes into proof.)
Skip heuristics: skip Phase 3 when messaging was already validated (e.g. an improve-website journey completed its message phases); skip Phase 4 when the offer is fixed by contract โ record `skipped: reason`. Phase 7 may be `deferred: reason` at very low traffic in favor of before/after evidence with an explicit revert trigger, never silently skipped. Never skip Phases 1-2 โ an unfound leak and an unresearched reason turn every later phase into guessing.
Then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` from the template and confirm the plan. Done when the tracker exists with every phase statused and the user has confirmed the plan.
## Phases
Phases run in the listed order โ each assumes the previous phase's artifact exists. Any phase can be entered, skipped, or deferred per the Operating Rules, but Phases 1-2 gate them all: nothing downstream fixes a problem that isn't a measured leak with a researched reason. When running any phase from its Brief (constituent skill not installed), read [references/methods.md](references/methods.md) first โ it carries each phase's full method, checklists, formulas, and benchmarks; the Brief is only the summary.
### Phase 1 โ Find the leak (lean-analytics) โ GATE
**Purpose:** Locate where the flow actually loses people and pick the one metric this journey moves โ before any opinion about why.
**Brief (fallback):** A good metric is a comparative ratio that changes what you do next; totals and cumulative charts are vanity. Express each step of the flow as a conversion rate, compare against your own history and published benchmarks (e-commerce converts ~1-3% of visitors; landing pages on paid traffic low single digits), and find the biggest absolute drop on the highest-value path. Pick the One Metric That Matters for this journey, pair it with a counter-metric so it can't be gamed (signup rate ร 30-day retention), and draw a line in the sand: target, date, pre-committed miss response. Cohort and segment (channel, device, plan) โ one collapsing segment hides inside a flat average.
**Invoke:** Use the `lean-analytics` skill with the flow steps and analytics from intake. Ask for a step-by-step funnel table with baselines and benchmarks, the OMTM plus counter-metric for this journey, and the biggest leak ranked by absolute lost value.
**Decide with the user:** (1) Confirm the OMTM and its counter-metric. (2) Which leak to attack first โ biggest absolute loss on the money path, not the easiest percentage. (3) If instrumentation is missing, which minimal events to add first โ the phase stays `awaiting-evidence` until the numbers exist.
**Artifact:** Extend docs/METRICS.md `## Funnel` (stage | conversion | benchmark | bottleneck?), `## Stage & One Metric That Matters`, and `## Baselines & Targets`. Update the tracker.
**Done when:** the funnel is measured at the coarsest granularity that still localizes the leak to a single step, the OMTM and counter-metric are recorded with a line in the sand, and the leak is named โ only then are Phases 2-7 unlocked. Finer sub-steps awaiting instrumentation stay `awaiting-evidence` in Next Actions and do not block the journey, provided the named leak does not depend on them.
### Phase 2 โ Research why they leave (cro-methodology) โ GATE
**Purpose:** Replace guesses about the leak with evidence from real visitors. Phases 3-6 may only fix problems traceable to a finding here.
**Brief (fallback):** Don't guess โ discover. Mine primary sources (a one-question exit survey: "What's preventing you from [action] today?"; post-conversion: "What almost stopped you?"; chat logs, tickets, sales calls) and secondary sources (reviews, competitors) for the customer's own words. Sort objections into the Big 5 โ Trust, Price, Fit, Timing, Effort โ and build the O/CO table: every objection gets an evidence-backed counter placed at the exact step the doubt arises, never in an FAQ. Diagnose each step with the LIFT lenses (value proposition ยฑ clarity, relevance, urgency, minus anxiety and distraction โ Goward) and the MECLABS heuristic (conversion rises with motivation and value clarity, falls with friction and anxiety). Rank fix hypotheses by ICE and apply the 10x screen: if a change couldn't plausibly double the step, don't queue it.
**Invoke:** Use the `cro-methodology` skill with the Phase 1 leak, the flow, and the voice-of-customer sources from intake. Ask for the researched objection list in customer words, the O/CO table with placements, missing persuasion assets, and an ICE-ranked hypothesis backlog.
**Decide with the user:** (1) Which researched objection is the primary leak driver. (2) Low traffic: accept qualitative plus heuristic evidence โ explicitly. (3) Which implicit objections
Source provenance
Decision snapshot
2,078 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for conversion-optimization, ready for a manual X post.
conversion-optimization: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onb... 2.1K stars https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x
Listing + install path for conversion-optimization: https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x Install: npx skills add wondelai/skills --skill conversion-optimization
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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This Registry indexed listing is attributed to wondelai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
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Install targets
Codex install prompt
Install the "conversion-optimization" agent skill from https://github.com/wondelai/skills/tree/main/conversion-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invok After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wondelai-conversion-optimization","task":"Install conversion-optimization","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wondelai/skills --skill conversion-optimization
Maintenance
fresh
7d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
2.1K
80/100 Quality ยท 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
2.1K GitHub stars
Repo activity
2.1K stars, 214 forks
Maintenance
7d since push
License
MIT
Install
npx skills add wondelai/skills --skill conversion-optimization
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wondelai/skills --skill conversion-optimizationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wondelai-conversion-optimization/install
Agent should check
Copy prompt
Task: Use conversion-optimization in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20conversion-optimization%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install
Install command: npx skills add wondelai/skills --skill conversion-optimization
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wondelai-conversion-optimization/install
LLM text format
/api/skills/wondelai-conversion-optimization/install?format=text
Find alternatives
/api/skills/search?q=conversion-optimization&limit=3
Agent prompt
Use conversion-optimization for this task. Review https://www.openagentskill.com/api/skills/wondelai-conversion-optimization/install, then install with: npx skills add wondelai/skills --skill conversion-optimizationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wondelai-conversion-optimization
LLM text
/api/registry/manifest/wondelai-conversion-optimization?format=text
Install alias
/api/registry/install/wondelai-conversion-optimization
Recommend
/api/registry/recommend?task=Use%20conversion-optimization%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS2.1K GitHub stars
Stars/forks activity
INFO2.1K stars, 214 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: conversion-optimization description: 'Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says ''people start but never finish''. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.' license: MIT metadata: author: wondelai version: "1.0.0" ---
# Conversion Optimization
Turn one leaking conversion flow โ a landing page, a signup, a checkout, an in-app onboarding โ into a measured, tested funnel. This is an interactive, resumable journey of seven phases: the agent asks before every decision and records the outcome in your project's `docs/` folder, so you can stop after any phase and pick up later. It works on websites and inside products alike; the unit of work is the flow and its ONE action, not the whole site.
## Core Principle
**Find the leak with numbers, learn the reason from customers, fix message โ offer โ proof โ friction in that order, and prove every fix with a pre-committed test.** The order is causal: a number tells you *where*, only research tells you *why*, motivation must be raised before friction-cutting pays, and an untested fix is a guess that compounds. This skill sequences the phases, asks the decision questions, and records every choice in `docs/`. The constituent skills carry the method โ invoke them rather than improvising their frameworks.
## Journey Map
| Phase | Skill | Question it answers | Artifact | |---|---|---|---| | 1 | lean-analytics | Where does the flow actually leak, and what is the one metric? | Extends docs/METRICS.md โ GATE | | 2 | cro-methodology | Why do people drop at the leak โ which objections and friction? | Creates docs/FUNNEL.md; extends docs/EXPERIMENTS.md โ GATE | | 3 | storybrand-messaging | Does the leaking step promise the visitor's own desired outcome in five seconds? | Extends docs/POSITIONING.md + docs/FUNNEL.md + docs/EXPERIMENTS.md | | 4 | hundred-million-offers | Is the offer at the conversion point worth acting on now? | Extends docs/OFFER.md + docs/EXPERIMENTS.md | | 5 | influence-psychology | Is there honest proof at every point of doubt? | Extends docs/FUNNEL.md + docs/EXPERIMENTS.md | | 6 | design-everyday-things | Can a visitor who decided to act complete the flow without stumbling? | Extends docs/FUNNEL.md + docs/DESIGN.md + docs/EXPERIMENTS.md | | 7 | cro-methodology | Will we know the fix worked โ pre-committed metric, sample size, no peeking? | Extends docs/EXPERIMENTS.md + docs/METRICS.md |
## Operating Rules
1. **Resume first.** Before anything else, read `docs/CONVERSION-OPTIMIZATION-PLAN.md` and every artifact in the Journey Map. If the tracker exists, summarize the journey state in 3-5 lines and ask which phase to enter. Done when the user has confirmed an entry point. A journey with a tracker is resumed, never restarted. 2. **Intake on first run only.** No tracker: run the Intake below, then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` with every phase statused `pending | in-progress | awaiting-evidence | done | deferred: reason | skipped: reason`. Done when the tracker exists and the user has confirmed the phase plan. 3. **Phase entry.** Announce: what the phase does, the decision it forces, the artifact it produces, rough effort. Offer proceed / skip / defer โ phases marked GATE may be deferred, never skipped. Mark the phase `in-progress` on proceed. Done when the user chose. 4. **Skill invocation and fallback.** Load the phase's skill and use it: each phase's Invoke line names the skill by slug โ use that skill to run the phase. If it is not available, offer: `npx skills add wondelai/skills/<slug> --global`. If the user declines, run the phase from its Brief โ the minimum viable method. State which mode you are in. 5. **In-phase decisions.** Ask every question under "Decide with the user" โ with concrete options and your recommendation. Record the choice in the tracker's Key Decisions. A decision made silently is a defect. 6. **Phase exit.** Present the draft artifact content for sign-off before writing. On approval: write or extend the docs/ files, update the tracker (status, Key Decisions, Next Actions). Done when the files are written and the phase row shows `done`. 7. **Artifact discipline.** Read before writing; create a file only if missing, otherwise extend โ add or update your sections, preserve everyone else's. Files are UPPERCASE in `docs/`. Every recommendation lands as a checkbox or a table row with owner and priority. See [references/artifact-templates.md](references/artifact-templates.md) when creating a docs/ file for the first time โ create it from the full skeleton (all section headings), then fill the sections your phase names. 8. **Measure, research, then change โ and every change is a test.** No fix ships without a Phase 1 leak and a Phase 2 researched reason behind it, and every shipped change lands in docs/EXPERIMENTS.md with a pre-committed primary metric and a guardrail. A fix with no research behind it goes back to Phase 2; a bold change with no test attached stays in the backlog until it has one.
## Intake
Ask these before creating the tracker:
1. **Which flow are we optimizing, and what is the ONE action at its end?** (Scopes every phase โ a flow with three competing CTAs has no goal.) 2. **Where do the numbers say people drop** โ analytics, funnel steps, cohort data? Paste what you have. (Feeds the Phase 1 leak diagnosis; no instrumentation means Phase 1 starts by adding it.) 3. **Roughly how much traffic or volume enters the flow per week?** (Gates Phase 7 โ decides whether A/B tests can reach significance or the journey leans on qualitative evidence and before/after windows.) 4. **What voice-of-customer sources exist or can be gotten** โ exit surveys, session recordings, support tickets, sales calls, reviews โ and can you paste or export the raw text of the best one? (Phase 2 objections must quote the customer's own words, so the phase needs the content, not just the source name.) 5. **What is the current offer at the conversion point** โ price, guarantee, bonuses โ and can it change? (Gates Phase 4; a contractually fixed offer narrows it to presentation.) 6. **Do docs/POSITIONING.md or docs/OFFER.md already exist from another journey?** (Phases 3-4 build on them rather than restarting.) 7. **How much of the journey do you want now?** (Phases 1-2 are the mandatory diagnosis; 3-6 are the fix passes aimed by it; 7 turns fixes into proof.)
Skip heuristics: skip Phase 3 when messaging was already validated (e.g. an improve-website journey completed its message phases); skip Phase 4 when the offer is fixed by contract โ record `skipped: reason`. Phase 7 may be `deferred: reason` at very low traffic in favor of before/after evidence with an explicit revert trigger, never silently skipped. Never skip Phases 1-2 โ an unfound leak and an unresearched reason turn every later phase into guessing.
Then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` from the template and confirm the plan. Done when the tracker exists with every phase statused and the user has confirmed the plan.
## Phases
Phases run in the listed order โ each assumes the previous phase's artifact exists. Any phase can be entered, skipped, or deferred per the Operating Rules, but Phases 1-2 gate them all: nothing downstream fixes a problem that isn't a measured leak with a researched reason. When running any phase from its Brief (constituent skill not installed), read [references/methods.md](references/methods.md) first โ it carries each phase's full method, checklists, formulas, and benchmarks; the Brief is only the summary.
### Phase 1 โ Find the leak (lean-analytics) โ GATE
**Purpose:** Locate where the flow actually loses people and pick the one metric this journey moves โ before any opinion about why.
**Brief (fallback):** A good metric is a comparative ratio that changes what you do next; totals and cumulative charts are vanity. Express each step of the flow as a conversion rate, compare against your own history and published benchmarks (e-commerce converts ~1-3% of visitors; landing pages on paid traffic low single digits), and find the biggest absolute drop on the highest-value path. Pick the One Metric That Matters for this journey, pair it with a counter-metric so it can't be gamed (signup rate ร 30-day retention), and draw a line in the sand: target, date, pre-committed miss response. Cohort and segment (channel, device, plan) โ one collapsing segment hides inside a flat average.
**Invoke:** Use the `lean-analytics` skill with the flow steps and analytics from intake. Ask for a step-by-step funnel table with baselines and benchmarks, the OMTM plus counter-metric for this journey, and the biggest leak ranked by absolute lost value.
**Decide with the user:** (1) Confirm the OMTM and its counter-metric. (2) Which leak to attack first โ biggest absolute loss on the money path, not the easiest percentage. (3) If instrumentation is missing, which minimal events to add first โ the phase stays `awaiting-evidence` until the numbers exist.
**Artifact:** Extend docs/METRICS.md `## Funnel` (stage | conversion | benchmark | bottleneck?), `## Stage & One Metric That Matters`, and `## Baselines & Targets`. Update the tracker.
**Done when:** the funnel is measured at the coarsest granularity that still localizes the leak to a single step, the OMTM and counter-metric are recorded with a line in the sand, and the leak is named โ only then are Phases 2-7 unlocked. Finer sub-steps awaiting instrumentation stay `awaiting-evidence` in Next Actions and do not block the journey, provided the named leak does not depend on them.
### Phase 2 โ Research why they leave (cro-methodology) โ GATE
**Purpose:** Replace guesses about the leak with evidence from real visitors. Phases 3-6 may only fix problems traceable to a finding here.
**Brief (fallback):** Don't guess โ discover. Mine primary sources (a one-question exit survey: "What's preventing you from [action] today?"; post-conversion: "What almost stopped you?"; chat logs, tickets, sales calls) and secondary sources (reviews, competitors) for the customer's own words. Sort objections into the Big 5 โ Trust, Price, Fit, Timing, Effort โ and build the O/CO table: every objection gets an evidence-backed counter placed at the exact step the doubt arises, never in an FAQ. Diagnose each step with the LIFT lenses (value proposition ยฑ clarity, relevance, urgency, minus anxiety and distraction โ Goward) and the MECLABS heuristic (conversion rises with motivation and value clarity, falls with friction and anxiety). Rank fix hypotheses by ICE and apply the 10x screen: if a change couldn't plausibly double the step, don't queue it.
**Invoke:** Use the `cro-methodology` skill with the Phase 1 leak, the flow, and the voice-of-customer sources from intake. Ask for the researched objection list in customer words, the O/CO table with placements, missing persuasion assets, and an ICE-ranked hypothesis backlog.
**Decide with the user:** (1) Which researched objection is the primary leak driver. (2) Low traffic: accept qualitative plus heuristic evidence โ explicitly. (3) Which implicit objections
Source provenance
Decision snapshot
2,078 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for conversion-optimization, ready for a manual X post.
conversion-optimization: Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onb... 2.1K stars https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x
Listing + install path for conversion-optimization: https://www.openagentskill.com/skills/wondelai-conversion-optimization?ref=x Install: npx skills add wondelai/skills --skill conversion-optimization
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Agent outcomes
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness