executing-plans
Skill0 starsChanged 45 days agoMITView on GitHub
Use when carrying out a written plan or task list yourself, in the current session
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 · 0
None found.
Edited · 0
None found.
Wrote their own version · 189
- 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
179 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 repository13 other files it gives its agents.
- debugging-systematicallySkill
- delegating-to-subagentsSkill
- finishing-workSkill
- investigating-in-parallelSkill
- isolating-workspacesSkill
- planning-workSkill
- receiving-reviewSkill
- requesting-reviewSkill
- shaping-designsSkill
- testing-firstSkill
- using-tackleSkill
- verifying-before-claimingSkill
- writing-skillsSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 178 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Substantial: follow the steps below.
- Distinctive: line 21
Stop early when reality diverges: If a check fails in a way the plan didn't anticipate, an instruction doesn't fit the code, or the …
- Distinctive: line 22
Keep the plan honest: If you deviate for good reason, update the plan and say why.
- Distinctive: line 31
Every task's check has run and passed (or its failure has been reported), and deviations from the plan are recorded.
“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
Executing Plans
Work through a plan task by task, checking each one before moving on and bringing the user in where the plan or reality says they should be.
Scale it
- Small: work through the task list, verifying as you go.
- Substantial: follow the steps below.
How
- Read the whole plan critically first. Raise gaps, contradictions or risky assumptions before starting, not halfway through.
- Track tasks with whatever task tracking the harness provides. If you're on the main branch of a shared repository, check with the user before making substantial changes there, or set up a branch (
isolating-workspaces). - For each task: implement it (with
testing-firstfor behavior changes), run its check, and read the result. - Stop at checkpoints the plan marks. Summarize what was done, show the evidence, and ask whether to continue.
- Stop early when reality diverges. If a check fails in a way the plan didn't anticipate, an instruction doesn't fit the code, or the approach looks wrong, pause and explain. Don't force the plan through.
- Keep the plan honest. If you deviate for good reason, update the plan and say why.
Skip or shorten when
- The plan has no checkpoints and the tasks are routine. Run straight through and report at the end.
- The user asks you to go without stopping. Still stop for failures you can't explain.
Done means
Every task's check has run and passed (or its failure has been reported), and deviations from the plan are recorded.
Next
verifying-before-claimingbefore reporting completionrequesting-reviewfor substantial or risky changesfinishing-workto integrate the result
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.
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