Creator · thedotmack
Last updated · Sep 2, 2026
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Creator · thedotmack
Last updated · Sep 2, 2026
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Creator · thedotmack
Last updated · Sep 2, 2026
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Creator · thedotmack
Last updated · Sep 2, 2026
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Review then install
Install targets
Codex install prompt
Install the "make-plan" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/make-plan. 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: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. 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":"thedotmack-make-plan","task":"Install make-plan","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 thedotmack/claude-mem --skill make-plan
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
93K
95/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA 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
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack/claude-mem --skill make-planDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.1K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-make-plan/install
Agent should check
Copy prompt
Task: Use make-plan in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-make-plan/install
Install command: npx skills add thedotmack/claude-mem --skill make-plan
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/thedotmack-make-plan/install
LLM text format
/api/skills/thedotmack-make-plan/install?format=text
Find alternatives
/api/skills/search?q=make-plan&limit=3
Agent prompt
Use make-plan for this task. Review https://www.openagentskill.com/api/skills/thedotmack-make-plan/install, then install with: npx skills add thedotmack/claude-mem --skill make-planRegistry 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/thedotmack-make-plan
LLM text
/api/registry/manifest/thedotmack-make-plan?format=text
Install alias
/api/registry/install/thedotmack-make-plan
Recommend
/api/registry/recommend?task=Use%20make-plan%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
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
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.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: make-plan description: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. ---
# Make Plan
You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
## Delegation Model
Use subagents for *fact gathering and extraction* (docs, examples, signatures, grep results). Keep *synthesis and plan authoring* with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
### Subagent Reporting Contract (MANDATORY)
Each subagent response must include: 1. Sources consulted (files/URLs) and what was read 2. Concrete findings (exact API names/signatures; exact file paths/locations) 3. Copy-ready snippet locations (example files/sections to copy) 4. "Confidence" note + known gaps (what might still be missing)
Reject and redeploy the subagent if it reports conclusions without sources.
## Plan Structure
### Phase 0: Documentation Discovery (ALWAYS FIRST)
Before planning implementation, deploy "Documentation Discovery" subagents to: 1. Search for and read relevant documentation, examples, and existing patterns 2. Identify the actual APIs, methods, and signatures available (not assumed) 3. Create a brief "Allowed APIs" list citing specific documentation sources 4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)
The orchestrator consolidates findings into a single Phase 0 output.
### Each Implementation Phase Must Include
1. **What to implement** — Frame tasks to COPY from docs, not transform existing code - Good: "Copy the V2 session pattern from docs/examples.ts:45-60" - Bad: "Migrate the existing code to V2" 2. **Documentation references** — Cite specific files/lines for patterns to follow 3. **Verification checklist** — How to prove this phase worked (tests, grep checks) 4. **Anti-pattern guards** — What NOT to do (invented APIs, undocumented params)
### Final Phase: Verification
1. Verify all implementations match documentation 2. Check for anti-patterns (grep for known bad patterns) 3. Run tests to confirm functionality
## Key Principles
- Documentation Availability ≠ Usage: Explicitly require reading docs - Task Framing Matters: Direct agents to docs, not just outcomes - Verify > Assume: Require proof, not assumptions about APIs - Session Boundaries: Each phase should be self-contained with its own doc references
## Anti-Patterns to Prevent
- Inventing API methods that "should" exist - Adding parameters not in documentation - Skipping verification steps - Assuming structure without checking examples
## See Also
- `oh-my-issues` — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through `oh-my-issues` first to cluster issues by root cause into plan masters and `plans/0X-*.md` design docs. `make-plan` then operates on the design doc for one plan slice.
Source provenance
Decision snapshot
93,017 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 make-plan, ready for a manual X post.
A practical pick for source-backed research: make-plan: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or mult... 93.0K stars https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x
Listing + install path for make-plan: https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x Install: npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack 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.
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan/audit)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.1K StarsReview then install
Install targets
Codex install prompt
Install the "make-plan" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/make-plan. 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: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. 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":"thedotmack-make-plan","task":"Install make-plan","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 thedotmack/claude-mem --skill make-plan
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
93K
95/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA 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
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack/claude-mem --skill make-planDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.1K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-make-plan/install
Agent should check
Copy prompt
Task: Use make-plan in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-make-plan/install
Install command: npx skills add thedotmack/claude-mem --skill make-plan
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/thedotmack-make-plan/install
LLM text format
/api/skills/thedotmack-make-plan/install?format=text
Find alternatives
/api/skills/search?q=make-plan&limit=3
Agent prompt
Use make-plan for this task. Review https://www.openagentskill.com/api/skills/thedotmack-make-plan/install, then install with: npx skills add thedotmack/claude-mem --skill make-planRegistry 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/thedotmack-make-plan
LLM text
/api/registry/manifest/thedotmack-make-plan?format=text
Install alias
/api/registry/install/thedotmack-make-plan
Recommend
/api/registry/recommend?task=Use%20make-plan%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
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
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.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: make-plan description: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. ---
# Make Plan
You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
## Delegation Model
Use subagents for *fact gathering and extraction* (docs, examples, signatures, grep results). Keep *synthesis and plan authoring* with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
### Subagent Reporting Contract (MANDATORY)
Each subagent response must include: 1. Sources consulted (files/URLs) and what was read 2. Concrete findings (exact API names/signatures; exact file paths/locations) 3. Copy-ready snippet locations (example files/sections to copy) 4. "Confidence" note + known gaps (what might still be missing)
Reject and redeploy the subagent if it reports conclusions without sources.
## Plan Structure
### Phase 0: Documentation Discovery (ALWAYS FIRST)
Before planning implementation, deploy "Documentation Discovery" subagents to: 1. Search for and read relevant documentation, examples, and existing patterns 2. Identify the actual APIs, methods, and signatures available (not assumed) 3. Create a brief "Allowed APIs" list citing specific documentation sources 4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)
The orchestrator consolidates findings into a single Phase 0 output.
### Each Implementation Phase Must Include
1. **What to implement** — Frame tasks to COPY from docs, not transform existing code - Good: "Copy the V2 session pattern from docs/examples.ts:45-60" - Bad: "Migrate the existing code to V2" 2. **Documentation references** — Cite specific files/lines for patterns to follow 3. **Verification checklist** — How to prove this phase worked (tests, grep checks) 4. **Anti-pattern guards** — What NOT to do (invented APIs, undocumented params)
### Final Phase: Verification
1. Verify all implementations match documentation 2. Check for anti-patterns (grep for known bad patterns) 3. Run tests to confirm functionality
## Key Principles
- Documentation Availability ≠ Usage: Explicitly require reading docs - Task Framing Matters: Direct agents to docs, not just outcomes - Verify > Assume: Require proof, not assumptions about APIs - Session Boundaries: Each phase should be self-contained with its own doc references
## Anti-Patterns to Prevent
- Inventing API methods that "should" exist - Adding parameters not in documentation - Skipping verification steps - Assuming structure without checking examples
## See Also
- `oh-my-issues` — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through `oh-my-issues` first to cluster issues by root cause into plan masters and `plans/0X-*.md` design docs. `make-plan` then operates on the design doc for one plan slice.
Source provenance
Decision snapshot
93,017 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 make-plan, ready for a manual X post.
A practical pick for source-backed research: make-plan: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or mult... 93.0K stars https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x
Listing + install path for make-plan: https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x Install: npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack 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.
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan/audit)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.1K StarsReview then install
Install targets
Codex install prompt
Install the "make-plan" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/make-plan. 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: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. 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":"thedotmack-make-plan","task":"Install make-plan","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 thedotmack/claude-mem --skill make-plan
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
93K
95/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA 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
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack/claude-mem --skill make-planDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.1K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-make-plan/install
Agent should check
Copy prompt
Task: Use make-plan in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-make-plan/install
Install command: npx skills add thedotmack/claude-mem --skill make-plan
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/thedotmack-make-plan/install
LLM text format
/api/skills/thedotmack-make-plan/install?format=text
Find alternatives
/api/skills/search?q=make-plan&limit=3
Agent prompt
Use make-plan for this task. Review https://www.openagentskill.com/api/skills/thedotmack-make-plan/install, then install with: npx skills add thedotmack/claude-mem --skill make-planRegistry 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/thedotmack-make-plan
LLM text
/api/registry/manifest/thedotmack-make-plan?format=text
Install alias
/api/registry/install/thedotmack-make-plan
Recommend
/api/registry/recommend?task=Use%20make-plan%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
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
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.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: make-plan description: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. ---
# Make Plan
You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
## Delegation Model
Use subagents for *fact gathering and extraction* (docs, examples, signatures, grep results). Keep *synthesis and plan authoring* with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
### Subagent Reporting Contract (MANDATORY)
Each subagent response must include: 1. Sources consulted (files/URLs) and what was read 2. Concrete findings (exact API names/signatures; exact file paths/locations) 3. Copy-ready snippet locations (example files/sections to copy) 4. "Confidence" note + known gaps (what might still be missing)
Reject and redeploy the subagent if it reports conclusions without sources.
## Plan Structure
### Phase 0: Documentation Discovery (ALWAYS FIRST)
Before planning implementation, deploy "Documentation Discovery" subagents to: 1. Search for and read relevant documentation, examples, and existing patterns 2. Identify the actual APIs, methods, and signatures available (not assumed) 3. Create a brief "Allowed APIs" list citing specific documentation sources 4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)
The orchestrator consolidates findings into a single Phase 0 output.
### Each Implementation Phase Must Include
1. **What to implement** — Frame tasks to COPY from docs, not transform existing code - Good: "Copy the V2 session pattern from docs/examples.ts:45-60" - Bad: "Migrate the existing code to V2" 2. **Documentation references** — Cite specific files/lines for patterns to follow 3. **Verification checklist** — How to prove this phase worked (tests, grep checks) 4. **Anti-pattern guards** — What NOT to do (invented APIs, undocumented params)
### Final Phase: Verification
1. Verify all implementations match documentation 2. Check for anti-patterns (grep for known bad patterns) 3. Run tests to confirm functionality
## Key Principles
- Documentation Availability ≠ Usage: Explicitly require reading docs - Task Framing Matters: Direct agents to docs, not just outcomes - Verify > Assume: Require proof, not assumptions about APIs - Session Boundaries: Each phase should be self-contained with its own doc references
## Anti-Patterns to Prevent
- Inventing API methods that "should" exist - Adding parameters not in documentation - Skipping verification steps - Assuming structure without checking examples
## See Also
- `oh-my-issues` — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through `oh-my-issues` first to cluster issues by root cause into plan masters and `plans/0X-*.md` design docs. `make-plan` then operates on the design doc for one plan slice.
Source provenance
Decision snapshot
93,017 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 make-plan, ready for a manual X post.
A practical pick for source-backed research: make-plan: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or mult... 93.0K stars https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x
Listing + install path for make-plan: https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x Install: npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack 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.
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan/audit)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.1K StarsReview then install
Install targets
Codex install prompt
Install the "make-plan" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/make-plan. 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: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. 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":"thedotmack-make-plan","task":"Install make-plan","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 thedotmack/claude-mem --skill make-plan
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
93K
95/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA 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
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack/claude-mem --skill make-planDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.1K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-make-plan/install
Agent should check
Copy prompt
Task: Use make-plan in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-make-plan/install
Install command: npx skills add thedotmack/claude-mem --skill make-plan
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/thedotmack-make-plan/install
LLM text format
/api/skills/thedotmack-make-plan/install?format=text
Find alternatives
/api/skills/search?q=make-plan&limit=3
Agent prompt
Use make-plan for this task. Review https://www.openagentskill.com/api/skills/thedotmack-make-plan/install, then install with: npx skills add thedotmack/claude-mem --skill make-planRegistry 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/thedotmack-make-plan
LLM text
/api/registry/manifest/thedotmack-make-plan?format=text
Install alias
/api/registry/install/thedotmack-make-plan
Recommend
/api/registry/recommend?task=Use%20make-plan%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
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
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.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: make-plan description: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do. ---
# Make Plan
You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
## Delegation Model
Use subagents for *fact gathering and extraction* (docs, examples, signatures, grep results). Keep *synthesis and plan authoring* with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
### Subagent Reporting Contract (MANDATORY)
Each subagent response must include: 1. Sources consulted (files/URLs) and what was read 2. Concrete findings (exact API names/signatures; exact file paths/locations) 3. Copy-ready snippet locations (example files/sections to copy) 4. "Confidence" note + known gaps (what might still be missing)
Reject and redeploy the subagent if it reports conclusions without sources.
## Plan Structure
### Phase 0: Documentation Discovery (ALWAYS FIRST)
Before planning implementation, deploy "Documentation Discovery" subagents to: 1. Search for and read relevant documentation, examples, and existing patterns 2. Identify the actual APIs, methods, and signatures available (not assumed) 3. Create a brief "Allowed APIs" list citing specific documentation sources 4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)
The orchestrator consolidates findings into a single Phase 0 output.
### Each Implementation Phase Must Include
1. **What to implement** — Frame tasks to COPY from docs, not transform existing code - Good: "Copy the V2 session pattern from docs/examples.ts:45-60" - Bad: "Migrate the existing code to V2" 2. **Documentation references** — Cite specific files/lines for patterns to follow 3. **Verification checklist** — How to prove this phase worked (tests, grep checks) 4. **Anti-pattern guards** — What NOT to do (invented APIs, undocumented params)
### Final Phase: Verification
1. Verify all implementations match documentation 2. Check for anti-patterns (grep for known bad patterns) 3. Run tests to confirm functionality
## Key Principles
- Documentation Availability ≠ Usage: Explicitly require reading docs - Task Framing Matters: Direct agents to docs, not just outcomes - Verify > Assume: Require proof, not assumptions about APIs - Session Boundaries: Each phase should be self-contained with its own doc references
## Anti-Patterns to Prevent
- Inventing API methods that "should" exist - Adding parameters not in documentation - Skipping verification steps - Assuming structure without checking examples
## See Also
- `oh-my-issues` — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through `oh-my-issues` first to cluster issues by root cause into plan masters and `plans/0X-*.md` design docs. `make-plan` then operates on the design doc for one plan slice.
Source provenance
Decision snapshot
93,017 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 make-plan, ready for a manual X post.
A practical pick for source-backed research: make-plan: Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or mult... 93.0K stars https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x
Listing + install path for make-plan: https://www.openagentskill.com/skills/thedotmack-make-plan?ref=x Install: npx skills add thedotmack/claude-mem --skill make-plan
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 thedotmack 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.
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-make-plan/audit)
[](https://www.openagentskill.com/skills/thedotmack-make-plan?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.1K StarsPermission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness