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Yeachan-HeoYeachan-Heo/oh-my-claudecode/skills/reflect/SKILL.md

reflect

Skill41k starsChanged 5 days agoMITView on GitHub

After a long task, a three-reviewer panel audits the session transcript — tooling, judgment, missed alternatives — and proposes concrete skill edits. Findings feed skillify. For banking marathon-session lessons.

172 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 162 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Never edit a skill inside the installed plugin cache.

    line 65

“Common” is measured: kept by at least 6 in 10 of the 162 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Reflect

Long sessions teach things nobody writes down. This skill audits the session transcript with independent reviewers and converts the findings into proposed edits to OMC's own skills — before the lessons evaporate.

When to use

  • a marathon session just ended (or is ending) and went well or badly in ways worth banking
  • the user asks "what did we learn", "bank this session", or says reflect

When not to use

  • routine sessions with nothing anomalous — reflection on nothing is noise
  • the user wants a summary of what happened — ketchup does that

Workflow

  1. Locate the transcript for this session and hand each reviewer the path, not a paste — reviewers read it themselves.
  2. Seat the panel: three read-only reviewers in one message, in the background, each with one lens:
    • tooling reviewer — which commands, skills, and agents helped or wasted time; what a script or skill should have existed
    • judgment reviewer — where calls were wrong, late, or unverifiable; which principle would have caught it
    • divergent reviewer — the alternative approaches never tried; what a fresh agent would have done differently Each returns at most three findings, each with transcript citations. Wait for every reviewer to reach a terminal state and collect its output before Step 3 — background dispatch returns before the reviewers finish, and synthesizing on a partial panel proposes misleading skill edits. A reviewer that times out is named as missing, not silently dropped.
  3. Synthesize: merge duplicates, drop unevidenced claims, rank by how often the lesson would recur. A lesson that applies once is a note; one that applies every session is a skill edit.
  4. Propose skill edits: for each surviving recurring lesson, the concrete edit — which skill file, which section, what wording — or a proposal for a new skill via skillify. Human-ruling wording stays verbatim (why skill epistemics).
  5. Report the findings and the proposed edits; apply an edit only with the user's go — reflection proposes, the user disposes.

Rules

  • Reviewers cite the transcript; a finding without a citation is dropped.
  • The panel never edits skills itself — proposals go to the user and then to skillify for execution.
  • Never edit a skill inside the installed plugin cache. Before the user approves an edit, show its destination — the repo's skills/<name>/ for a shipped skill, or the user's .claude/skills/<name>/ copy — and after approval edit that destination in place. Reflection never opens a PR or pushes.
  • Findings about the user's own choices are reported as observations, not corrections.

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