executing-plans
Skill0 starsChanged 4 months agoMITView on GitHub
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
189 other projects use a version of this, 117 of them edited.
Adopted by
Most recently taken up by
- DemonDamon/AgenticXedited, first seen Nov 9, 2026
- PabloBuilder/AgenticAxelortheir own version, first seen Nov 8, 2026
- roundpilot/superpowers-antigravitytheir own version, first seen Nov 8, 2026
- REPOZY/superpowers-optimizedtheir own version, first seen Nov 8, 2026
- lingyired/status-triotheir own version, first seen Nov 8, 2026
- BrightGold70/skillsedited, first seen Nov 8, 2026
Used with
Projects with it also use chinese-code-review, chinese-commit-conventions and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Leodorareluctant259Skillchinese-code-review
中文代码审查规范——在保持专业严谨的同时,用符合国内团队文化的方式给出有效反馈
Also in 8 projects that use this
Leodorareluctant259Skillchinese-commit-conventions
中文 Git 提交规范 — 适配国内团队的 commit message 规范和 changelog 自动化
Also in 8 projects that use this
obraSkilldiagnosing-superpowers
Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.
Also in 20 projects that use this
allanninalSkillalgorand-vulnerability-scanner
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal). (project, gitignored)
Also in 4 projects that use this
allanninalSkillcairo-vulnerability-scanner
Scans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects. (project, gitignored)
Also in 4 projects that use this
farslabSkillaws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.
Also in 3 projects that use this
- +3 more from Leodorareluctant259
- +1 more from allanninal
Other versions189 projects use a version of this.
Word for word · 0
None found.
Edited · 117
- openai/plugins★ 7.8k53% same
- farm-fe/farm★ 5.6k53% same
- GanyuanRan/Aegis★ 1.4k11% same
- DemonDamon/AgenticX★ 1k85% same
- coco-research/coco★ 79753% same
- koaning/wigglystuff★ 45549% same
- derHaken/SuperAntigravity★ 43940% same
- Ibrahim-3d/conductor-orchestrator-superpowers★ 38117% same
- Ibrahim-3d/orchestrator-supaconductor★ 37817% same
- theexperiencecompany/gaia★ 32575% same
107 more not listed
Wrote their own version · 72
- obra/superpowers★ 314ksame name
- jnMetaCode/superpowers-zh★ 8.4ksame name
- lingyired/status-trio★ 1.8ksame name
- pcvelz/superpowers★ 1.3ksame name
- LayneChai/superpowers-dsh★ 150same name
- REPOZY/superpowers-optimized★ 146same name
- The-AIOS/aios★ 105same name
- shibit-net/xuanji-community★ 90same name
- roundpilot/superpowers-antigravity★ 80same name
- withzombies/hyperpowers★ 80same name
62 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- scripts/AGENTS.mdAGENTS.md
- src/AGENTS.mdAGENTS.md
- .cursor/rules/publish-version-bump.mdcCursor rule
- .cursor/rules/release-version-sync.mdcCursor rule
- antigravitySkill
- auditSkill
- autoplanSkill
- bootstrapSkill
- brainstormSkill
- browseSkill
- ceo-reviewSkill
- clarifySkill
- cleanupSkill
- code-reviewSkill
- codexSkill
- component-inventorySkill
- context-restoreSkill
- context-saveSkill
- critiqueSkill
- cronSkill
- csoSkill
- cursorSkill
- debugSkill
- deepen-planSkill
- design-reviewSkill
- devex-reviewSkill
- document-reviewSkill
- eng-reviewSkill
- fableSkill
- finishSkill
- frontend-designSkill
- grill-meSkill
- grokSkill
- implementSkill
- learnSkill
- office-hoursSkill
- onboardSkill
- plan-design-reviewSkill
- planSkill
- polishSkill
- qaSkill
- reviewSkill
- shipfastSkill
- shipthoroughSkill
- simplifySkill
- specSkill
- statusSkill
- subagent-driven-developmentSkill
- test-driven-developmentSkill
- ui-auditSkill
- ui-ux-pro-maxSkill
- using-git-worktreesSkill
- verification-before-completionSkill
- writing-plansSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. 8 are common, 3 are distinctive, and 3 are very specific to this project.
8
Common
Most of the 178 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
If you are running this skill in Codex, read ../references/codex-compatibility.md before following host-specific tool instructions.
- Very specific: line 38
If docs/architecture/COMPONENTS.md exists, read it before creating or specifying UI components — reuse or extend an existing component on …
- Common: line 43
If concerns: Raise them with your human partner before starting
- Distinctive: line 44
If no concerns: Create TodoWrite and proceed
- Common: line 51
Follow each step exactly (plan has bite-sized steps)
- Common: line 52
Run verifications as specified
- Common: line 75
After all tasks complete and verified:
- Very specific: line 77
REQUIRED SUB-SKILL: Use /soloship:finish (Soloship's rename of Superpowers' finishing-a-development-branch)
- Distinctive: line 78
Follow that skill to verify tests, present options, execute choice
- Common: line 96
Don't force through blockers: - stop and ask.
- Distinctive: line 99
Never start implementation on main/master without explicit user consent — work in a worktree/branch first
- Common: line 101
Follow plan steps exactly
- Common: line 102
Don't skip verifications
- Common: line 105
Stop when blocked, don't guess
“Common” is measured: kept by at least 6 in 10 of the 178 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Host Compatibility
If you are running this skill in Codex, read ../references/codex-compatibility.md before following host-specific tool instructions. Claude Code should continue to use the Claude-specific tools and command wrappers described here.
Model posture (Soloship)
See the auto-loaded model-mode rule. Standard posture (the default):
execute this skill exactly as written. Fable posture (model id contains
fable/mythos): every gate this skill names — evidence to produce,
verifications to run, dispatches it mandates, user checkpoints — remains
binding; its step ordering and procedural scaffolding are method guidance
you may adapt when the work is better served. Never skip a step that
produces evidence; when ambiguous, treat it as a gate.
<!-- Vendored from superpowers v4.1.1 (Jesse Vincent). See skills/vendored/superpowers/LICENSE. DELIBERATELY pinned at 4.1.1: upstream v6.0.3 removed the batch-execution-with-checkpoints model (execute-all-then-finish, steering to subagent-driven-development instead). Soloship keeps the batch+checkpoint model on purpose — it's the human-in-the-loop alternative to subagent-driven-development for a non-coder architect reviewing between batches. Only the "never start on main without consent" safety line was pulled forward from 6.0.3. -->Executing Plans
Overview
Load plan, review critically, execute tasks in batches, report for review between batches.
Core principle: Batch execution with checkpoints for architect review.
Announce at start: "I'm using the executing-plans skill to implement this plan."
The Process
Step 1: Load and Review Plan
- Read plan file
- Review critically - identify any questions or concerns about the plan
<!-- concern:component-reuse -->Ifdocs/architecture/COMPONENTS.mdexists, read it before creating or specifying UI components — reuse or extend an existing component on purpose match, cite what you found, and apply the rule of three (seereferences/component-inventory.md). Flag any plan task that creates a component the inventory already covers.- If concerns: Raise them with your human partner before starting
- If no concerns: Create TodoWrite and proceed
Step 2: Execute Batch
Default: First 3 tasks
For each task:
- Mark as in_progress
- Follow each step exactly (plan has bite-sized steps)
- Run verifications as specified
- Mark as completed
Step 3: Report
When batch complete:
- Show what was implemented
- Show verification output
- Say: "Ready for feedback."
The checkpoint is the product of this skill: a human architect reviews between batches. If no partner is present to respond (an unattended or scripted run), this skill is the wrong tool — use /soloship:subagent-driven-development, which executes continuously without per-batch check-ins. Do not simulate feedback or skip the checkpoint to keep going.
Step 4: Continue
Based on feedback:
- Apply changes if needed
- Execute next batch
- Repeat until complete
Step 5: Complete Development
After all tasks complete and verified:
- Announce: "I'm using the /soloship:finish skill to complete this work."
- REQUIRED SUB-SKILL: Use /soloship:finish (Soloship's rename of 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 mid-batch (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
- Never start implementation on main/master without explicit user consent — work in a worktree/branch first
- Review plan critically first
- Follow plan steps exactly
- Don't skip verifications
- Reference skills when plan says to
- Between batches: just report and wait
- Stop when blocked, don't guess
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

