task-acceptance
Skill0 starsChanged 7 days agoNo licenceView on GitHub
Accepts a batch of plan Tasks that an implementation subagent (e.g. implementation-agent) reports as done — independently checks each Task's commit against its formal Task body, marks conforming Tasks `Done` on the user's behalf, and gives the user a short summary of what conformed, what deviated but still meets the plan, and what the user should check. Use whenever a subagent hands back code changes for plan Tasks (T or FT), including "agent 做完了", "驗收", "幫我看 agent 有沒有照 Task 做". Not for investigation/review subagents that only report findings, not for the user's own whole-plan or whole-branch review (use branch-review), and not for work the current session implemented itself.
In this repository17 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- agentskills-conventionsSkill
- b2c-conventionsSkill
- branch-reviewSkill
- coding-styleSkill
- doc-coauthoringSkill
- garmin-running-exportSkill
- gen-task-in-planSkill
- git-commitSkill
- implementationSkill
- knowledge-layoutSkill
- mcp-builderSkill
- playwright-cliSkill
- req-analysisSkill
- skill-creatorSkill
- technical-designSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

