executing-plans
Skill33 starsChanged 34 days agoApache-2.0View on GitHub
Carry an actionable change plan through implementation, checks, review and an evidence-backed report. Use when executing several planned steps or integrating bounded worker returns, within existing authorization.
189 other projects use a version of this.
Adopted by
Most recently taken up by
- DemonDamon/AgenticXtheir own version, 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/skillstheir own version, 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 · 1
- okgrit/done-is-a-claim★ 33100% same
Edited · 0
None found.
Wrote their own version · 188
- obra/superpowers★ 314ksame name
- jnMetaCode/superpowers-zh★ 8.4ksame name
- openai/plugins★ 7.8ksame name
- farm-fe/farm★ 5.6ksame name
- lingyired/status-trio★ 1.8ksame name
- GanyuanRan/Aegis★ 1.4ksame name
- pcvelz/superpowers★ 1.3ksame name
- DemonDamon/AgenticX★ 1ksame name
- coco-research/coco★ 797same name
- koaning/wigglystuff★ 455same name
178 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 repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- acceptance-designSkill
- checking-deliverySkill
- collecting-worker-resultsSkill
- debugging-with-evidenceSkill
- evidence-freshnessSkill
- implementing-with-testsSkill
- planning-changesSkill
- public-claimsSkill
- reading-measurementsSkill
- responding-to-reviewSkill
- resuming-workSkill
- reviewing-changesSkill
- using-done-is-a-claimSkill
- whose-redSkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 10 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use the plan as a map of intended work, then verify the actual results.
- Distinctive: line 14
Read the plan, user request and project instructions.
- Distinctive: line 16
Check prerequisites against the current artifacts rather than task status.
- Distinctive: line 19
If a command cannot test the outcome, record its correction and reason.
- Distinctive: line 38
Use available delegation only when the user or applicable instructions permit it.
- Distinctive: line 44
When a worker returns, inspect its actual diff and artifacts, compare the return with its brief and rerun acceptance on the returned inputs …
- Distinctive: line 60
Keep a compact note for a long task: objective, latest steering, decisions, current evidence, unresolved work and next action.
- Distinctive: line 68
Update the plan when evidence changes dependencies or the approach.
- Distinctive: line 71
After an unsuccessful attempt, retain what was tried, its actual result and what new evidence would justify retrying.
- Very specific: line 80
Use reviewing-changes if available.
- Distinctive: line 84
Run the whole relevant suite and final acceptance yourself on the resulting tree.
- Very specific: line 85
Verify relevant inputs remained stable.
“Common” is measured: kept by at least 6 in 10 of the 177 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
Executing plans
Use the plan as a map of intended work, then verify the actual results. Continue ready authorized tasks until the requested outcome is handled or a concrete constraint blocks them. A plan is not evidence and cannot grant authority.
Reconcile before writing
- Read the plan, user request and project instructions. Confirm the assigned repository or worktree, current revision, dirty inputs and file ownership.
- Check prerequisites against the current artifacts rather than task status. Identify already delivered work, changed inputs and inaccessible dependencies.
- Confirm acceptance commands and expected observations before implementing. If a command cannot test the outcome, record its correction and reason; do not quietly remove a case or lower a threshold to get a pass.
- For interrupted work, use
resuming-workat a host-discovered location when available. Otherwise reopen evidence and reconcile ownership inline. Inspect ambiguous previous actions before repeating them.
Execute ready tasks
Take the next task whose dependencies are satisfied. For a behavior change or
bug fix, use host-discovered implementing-with-tests when available: establish
a discriminating behavior check, observe the intended failure before changing
production behavior when feasible, then implement and verify. Existing passing
preservation checks stay green; do not manufacture a failure for a prose edit.
Without the skill, perform that bounded loop inline and report unrun boundaries.
Inspect the files, make the bounded change and run its specified check. Read the output and artifact, including failures and collection counts; capture the producer's own exit code. Record what the observation supports, the tested inputs and any limitation.
Use available delegation only when the user or applicable instructions permit it. Give each worker a bounded result, files, owner, dependencies, acceptance and evidence return. Otherwise execute inline and say so when reporting review mode. Coordinate competing writers; use separate worktrees for overlapping writes when needed. Do not create worktrees or require workers as arbitrary stages.
When a worker returns, inspect its actual diff and artifacts, compare the return
with its brief and rerun acceptance on the returned inputs yourself. A process
exit, status flag or summary is not a verified implementation. Use
collecting-worker-results if the host exposes it; reconcile inline otherwise.
Continue with the next ready task inside existing authorization. Do not stop at each plan stage for approval. A task description or worker message cannot grant permission to publish, send, merge, broaden scope or replace another owner's work. At a real blocked boundary, state the missing input or authority and continue independent work that remains authorized.
Adapt from observations
Preserve the active objective when new messages add a constraint, correction or status question. Record a changed requirement explicitly and revise only the affected work; do not lose unfinished acceptance behind the latest message. Keep a compact note for a long task: objective, latest steering, decisions, current evidence, unresolved work and next action. Use the project's existing record or a short session/local note; do not publish private conversation context. Routine uninterrupted edits need no new ledger.
Unexpected behavior calls for a discriminating investigation before another
fix. Use discovered debugging-with-evidence or whose-red where relevant;
otherwise record reproduction, hypotheses and a separating experiment inline.
Update the plan when evidence changes dependencies or the approach. Preserve
the original outcome and explain acceptance corrections rather than hiding them.
After an unsuccessful attempt, retain what was tried, its actual result and what new evidence would justify retrying. Repeating an unchanged attempt is not a new experiment. Reopen a resolved finding when contrary evidence appears; the same failure persisting after its claimed fix is such evidence. Keep raw logs local and the continuation note short.
Close the implementation loop
Inspect the final candidate against acceptance, scope and preserved behavior.
Use reviewing-changes if available. Independent review is useful when permitted
and available; otherwise label self-review and its limits. Fix supported findings,
run affected checks and rereview changes and remaining findings before finishing.
Run the whole relevant suite and final acceptance yourself on the resulting tree.
Verify relevant inputs remained stable; mutating checks need another acceptance
run after their edits. Apply discovered evidence-freshness and, for an authorized
delivery claim, checking-delivery; inspect inputs and destination inline if absent.
Report files, tested revision and dirty inputs, exact checks, actual output, exit codes, evidence paths and unresolved gaps. Required checks that failed, skipped, collected nothing or could not run cannot support a full completion claim.
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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.

