Creator · obra
Last updated · Sep 1, 2026
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Creator · obra
Last updated · Sep 1, 2026
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Creator · obra
Last updated · Sep 1, 2026
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Creator · obra
Last updated · Sep 1, 2026
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Install targets
Codex install prompt
Install the "executing-plans" agent skill from https://github.com/obra/superpowers/tree/main/skills/executing-plans. 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: Use when you have a written implementation plan to execute in a separate session with review checkpoints 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":"obra-executing-plans","task":"Install executing-plans","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add obra/superpowers --skill executing-plans
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
280K
95/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · 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
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
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
280K GitHub stars
Repo activity
280K stars, 25K forks
Maintenance
7d since push
License
MIT
Install
npx skills add obra/superpowers --skill executing-plans
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 obra/superpowers --skill executing-plansDo 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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/obra-executing-plans/install
Agent should check
Copy prompt
Task: Use executing-plans in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/obra-executing-plans/install
Install command: npx skills add obra/superpowers --skill executing-plans
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/obra-executing-plans/install
LLM text format
/api/skills/obra-executing-plans/install?format=text
Find alternatives
/api/skills/search?q=executing-plans&limit=3
Agent prompt
Use executing-plans for this task. Review https://www.openagentskill.com/api/skills/obra-executing-plans/install, then install with: npx skills add obra/superpowers --skill executing-plansRegistry 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/obra-executing-plans
LLM text
/api/registry/manifest/obra-executing-plans?format=text
Install alias
/api/registry/install/obra-executing-plans
Recommend
/api/registry/recommend?task=Use%20executing-plans%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code, OpenAI Agents
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
Browser automation
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
PASS280K GitHub stars
Stars/forks activity
PASS280K stars, 25K 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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: executing-plans description: Use when you have a written implementation plan to execute in a separate session with review checkpoints ---
# Executing Plans
## Overview
Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents (Claude Code, Codex CLI, Codex App, Copilot CLI, and Gemini CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
### Step 1: Load and Review Plan 1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one 2. Read plan file 3. Review critically - identify any questions or concerns about the plan 4. If concerns: Raise them with your human partner before starting 5. If no concerns: Create todos for the plan items and proceed
### Step 2: Execute Tasks
For each task: 1. Mark as in_progress 2. Follow each step exactly (plan has bite-sized steps) 3. Run verifications as specified 4. Mark as completed
### Step 3: Complete Development
After all tasks complete and verified: - Announce: "I'm using the finishing-a-development-branch skill to complete this work." - **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch - Follow that skill to verify tests, present options, execute choice
## When to Stop and Ask for Help
**STOP executing immediately when:** - Hit a blocker (missing dependency, test fails, instruction unclear) - Plan has critical gaps preventing starting - You don't understand an instruction - Verification fails repeatedly
**Ask for clarification rather than guessing.**
## When to Revisit Earlier Steps
**Return to Review (Step 1) when:** - Partner updates the plan based on your feedback - Fundamental approach needs rethinking
**Don't force through blockers** - stop and ask.
## Remember - Review plan critically first - Follow plan steps exactly - Don't skip verifications - Reference skills when plan says to - Stop when blocked, don't guess - Never start implementation on main/master branch without explicit user consent
Source provenance
Decision snapshot
280,439 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 executing-plans, ready for a manual X post.
A practical pick for a repeatable workflow: executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints 280.4K stars https://www.openagentskill.com/skills/obra-executing-plans?ref=x
Listing + install path for executing-plans: https://www.openagentskill.com/skills/obra-executing-plans?ref=x Install: npx skills add obra/superpowers --skill executing-plans
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 obra 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/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans/audit)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)obra
@obra
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsInstall targets
Codex install prompt
Install the "executing-plans" agent skill from https://github.com/obra/superpowers/tree/main/skills/executing-plans. 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: Use when you have a written implementation plan to execute in a separate session with review checkpoints 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":"obra-executing-plans","task":"Install executing-plans","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add obra/superpowers --skill executing-plans
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
280K
95/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · 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
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
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
280K GitHub stars
Repo activity
280K stars, 25K forks
Maintenance
7d since push
License
MIT
Install
npx skills add obra/superpowers --skill executing-plans
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 obra/superpowers --skill executing-plansDo 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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/obra-executing-plans/install
Agent should check
Copy prompt
Task: Use executing-plans in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/obra-executing-plans/install
Install command: npx skills add obra/superpowers --skill executing-plans
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/obra-executing-plans/install
LLM text format
/api/skills/obra-executing-plans/install?format=text
Find alternatives
/api/skills/search?q=executing-plans&limit=3
Agent prompt
Use executing-plans for this task. Review https://www.openagentskill.com/api/skills/obra-executing-plans/install, then install with: npx skills add obra/superpowers --skill executing-plansRegistry 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/obra-executing-plans
LLM text
/api/registry/manifest/obra-executing-plans?format=text
Install alias
/api/registry/install/obra-executing-plans
Recommend
/api/registry/recommend?task=Use%20executing-plans%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code, OpenAI Agents
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
Browser automation
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
PASS280K GitHub stars
Stars/forks activity
PASS280K stars, 25K 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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: executing-plans description: Use when you have a written implementation plan to execute in a separate session with review checkpoints ---
# Executing Plans
## Overview
Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents (Claude Code, Codex CLI, Codex App, Copilot CLI, and Gemini CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
### Step 1: Load and Review Plan 1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one 2. Read plan file 3. Review critically - identify any questions or concerns about the plan 4. If concerns: Raise them with your human partner before starting 5. If no concerns: Create todos for the plan items and proceed
### Step 2: Execute Tasks
For each task: 1. Mark as in_progress 2. Follow each step exactly (plan has bite-sized steps) 3. Run verifications as specified 4. Mark as completed
### Step 3: Complete Development
After all tasks complete and verified: - Announce: "I'm using the finishing-a-development-branch skill to complete this work." - **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch - Follow that skill to verify tests, present options, execute choice
## When to Stop and Ask for Help
**STOP executing immediately when:** - Hit a blocker (missing dependency, test fails, instruction unclear) - Plan has critical gaps preventing starting - You don't understand an instruction - Verification fails repeatedly
**Ask for clarification rather than guessing.**
## When to Revisit Earlier Steps
**Return to Review (Step 1) when:** - Partner updates the plan based on your feedback - Fundamental approach needs rethinking
**Don't force through blockers** - stop and ask.
## Remember - Review plan critically first - Follow plan steps exactly - Don't skip verifications - Reference skills when plan says to - Stop when blocked, don't guess - Never start implementation on main/master branch without explicit user consent
Source provenance
Decision snapshot
280,439 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 executing-plans, ready for a manual X post.
A practical pick for a repeatable workflow: executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints 280.4K stars https://www.openagentskill.com/skills/obra-executing-plans?ref=x
Listing + install path for executing-plans: https://www.openagentskill.com/skills/obra-executing-plans?ref=x Install: npx skills add obra/superpowers --skill executing-plans
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 obra 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/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans/audit)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)obra
@obra
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsInstall targets
Codex install prompt
Install the "executing-plans" agent skill from https://github.com/obra/superpowers/tree/main/skills/executing-plans. 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: Use when you have a written implementation plan to execute in a separate session with review checkpoints 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":"obra-executing-plans","task":"Install executing-plans","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add obra/superpowers --skill executing-plans
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
280K
95/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · 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
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
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
280K GitHub stars
Repo activity
280K stars, 25K forks
Maintenance
7d since push
License
MIT
Install
npx skills add obra/superpowers --skill executing-plans
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 obra/superpowers --skill executing-plansDo 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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/obra-executing-plans/install
Agent should check
Copy prompt
Task: Use executing-plans in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/obra-executing-plans/install
Install command: npx skills add obra/superpowers --skill executing-plans
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/obra-executing-plans/install
LLM text format
/api/skills/obra-executing-plans/install?format=text
Find alternatives
/api/skills/search?q=executing-plans&limit=3
Agent prompt
Use executing-plans for this task. Review https://www.openagentskill.com/api/skills/obra-executing-plans/install, then install with: npx skills add obra/superpowers --skill executing-plansRegistry 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/obra-executing-plans
LLM text
/api/registry/manifest/obra-executing-plans?format=text
Install alias
/api/registry/install/obra-executing-plans
Recommend
/api/registry/recommend?task=Use%20executing-plans%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code, OpenAI Agents
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
Browser automation
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
PASS280K GitHub stars
Stars/forks activity
PASS280K stars, 25K 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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: executing-plans description: Use when you have a written implementation plan to execute in a separate session with review checkpoints ---
# Executing Plans
## Overview
Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents (Claude Code, Codex CLI, Codex App, Copilot CLI, and Gemini CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
### Step 1: Load and Review Plan 1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one 2. Read plan file 3. Review critically - identify any questions or concerns about the plan 4. If concerns: Raise them with your human partner before starting 5. If no concerns: Create todos for the plan items and proceed
### Step 2: Execute Tasks
For each task: 1. Mark as in_progress 2. Follow each step exactly (plan has bite-sized steps) 3. Run verifications as specified 4. Mark as completed
### Step 3: Complete Development
After all tasks complete and verified: - Announce: "I'm using the finishing-a-development-branch skill to complete this work." - **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch - Follow that skill to verify tests, present options, execute choice
## When to Stop and Ask for Help
**STOP executing immediately when:** - Hit a blocker (missing dependency, test fails, instruction unclear) - Plan has critical gaps preventing starting - You don't understand an instruction - Verification fails repeatedly
**Ask for clarification rather than guessing.**
## When to Revisit Earlier Steps
**Return to Review (Step 1) when:** - Partner updates the plan based on your feedback - Fundamental approach needs rethinking
**Don't force through blockers** - stop and ask.
## Remember - Review plan critically first - Follow plan steps exactly - Don't skip verifications - Reference skills when plan says to - Stop when blocked, don't guess - Never start implementation on main/master branch without explicit user consent
Source provenance
Decision snapshot
280,439 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 executing-plans, ready for a manual X post.
A practical pick for a repeatable workflow: executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints 280.4K stars https://www.openagentskill.com/skills/obra-executing-plans?ref=x
Listing + install path for executing-plans: https://www.openagentskill.com/skills/obra-executing-plans?ref=x Install: npx skills add obra/superpowers --skill executing-plans
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 obra 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/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans/audit)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)obra
@obra
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
UI-TARS Desktop
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194.1K StarsMoneyPrinterTurbo
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88.5K StarsTasmota
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24.7K StarsInstall targets
Codex install prompt
Install the "executing-plans" agent skill from https://github.com/obra/superpowers/tree/main/skills/executing-plans. 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: Use when you have a written implementation plan to execute in a separate session with review checkpoints 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":"obra-executing-plans","task":"Install executing-plans","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add obra/superpowers --skill executing-plans
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
280K
95/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · 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
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
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
280K GitHub stars
Repo activity
280K stars, 25K forks
Maintenance
7d since push
License
MIT
Install
npx skills add obra/superpowers --skill executing-plans
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 obra/superpowers --skill executing-plansDo 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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/obra-executing-plans/install
Agent should check
Copy prompt
Task: Use executing-plans in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20executing-plans%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/obra-executing-plans/install
Install command: npx skills add obra/superpowers --skill executing-plans
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/obra-executing-plans/install
LLM text format
/api/skills/obra-executing-plans/install?format=text
Find alternatives
/api/skills/search?q=executing-plans&limit=3
Agent prompt
Use executing-plans for this task. Review https://www.openagentskill.com/api/skills/obra-executing-plans/install, then install with: npx skills add obra/superpowers --skill executing-plansRegistry 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/obra-executing-plans
LLM text
/api/registry/manifest/obra-executing-plans?format=text
Install alias
/api/registry/install/obra-executing-plans
Recommend
/api/registry/recommend?task=Use%20executing-plans%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code, OpenAI Agents
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
Browser automation
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
PASS280K GitHub stars
Stars/forks activity
PASS280K stars, 25K 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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: executing-plans description: Use when you have a written implementation plan to execute in a separate session with review checkpoints ---
# Executing Plans
## Overview
Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents (Claude Code, Codex CLI, Codex App, Copilot CLI, and Gemini CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
### Step 1: Load and Review Plan 1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one 2. Read plan file 3. Review critically - identify any questions or concerns about the plan 4. If concerns: Raise them with your human partner before starting 5. If no concerns: Create todos for the plan items and proceed
### Step 2: Execute Tasks
For each task: 1. Mark as in_progress 2. Follow each step exactly (plan has bite-sized steps) 3. Run verifications as specified 4. Mark as completed
### Step 3: Complete Development
After all tasks complete and verified: - Announce: "I'm using the finishing-a-development-branch skill to complete this work." - **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch - Follow that skill to verify tests, present options, execute choice
## When to Stop and Ask for Help
**STOP executing immediately when:** - Hit a blocker (missing dependency, test fails, instruction unclear) - Plan has critical gaps preventing starting - You don't understand an instruction - Verification fails repeatedly
**Ask for clarification rather than guessing.**
## When to Revisit Earlier Steps
**Return to Review (Step 1) when:** - Partner updates the plan based on your feedback - Fundamental approach needs rethinking
**Don't force through blockers** - stop and ask.
## Remember - Review plan critically first - Follow plan steps exactly - Don't skip verifications - Reference skills when plan says to - Stop when blocked, don't guess - Never start implementation on main/master branch without explicit user consent
Source provenance
Decision snapshot
280,439 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 executing-plans, ready for a manual X post.
A practical pick for a repeatable workflow: executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints 280.4K stars https://www.openagentskill.com/skills/obra-executing-plans?ref=x
Listing + install path for executing-plans: https://www.openagentskill.com/skills/obra-executing-plans?ref=x Install: npx skills add obra/superpowers --skill executing-plans
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 obra 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/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/obra-executing-plans/audit)
[](https://www.openagentskill.com/skills/obra-executing-plans?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)obra
@obra
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness