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ThomasDixiniThomasDixini/AI-Workflow-For-Projects/skills/close-cycle/SKILL.md

close-cycle

Skill1 starsChanged 4 months agoNo licenceView on GitHub

Close out a finished work cycle by distilling what was learned into a durable, per-module knowledge base — a file-based memory indexed by source file — so future PRDs, tasks, and agents reuse recorded decisions, gotchas, patterns, and contracts instead of re-deriving them. Use this skill at the END of a cycle, after implement-task and/or review, when the user says "close the cycle", "capture what we learned", "update the knowledge base", "record the learnings", "remember this for next time", or "post-mortem this feature". This is different from for-research (upfront, per-big-task, disposable): close-cycle writes permanent memory keyed to code units and grows across cycles.

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 4 are distinctive, and 7 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.

  • 7

    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.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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