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dzianisvdzianisv/skills/skills/retrospective/SKILL.md

retrospective

Skill4 starsChanged 3 months agoMITView on GitHub

Produce a short 3-5 sentence post-mortem when an AI agent's output was wrong or based on faulty verification. Plain English, technical, no headers. Trigger phrases: "retro", "retrospective", "what went wrong", "post-mortem", "reflect on this error", "why did this fail", "the fix didn't work", "what should the agent have done", "analyze this failure".

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69 other projects use a version of this.

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Projects with it also use dev-story, team-level 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.
  • lilangMaxSkill

    dev-story

    Read a story file and implement it. Loads the full context (story, GDD requirement, ADR guidelines, control manifest), routes to the right programmer agent for the system and engine, implements the code and test, and confirms each acceptance criterion. The core implementation skill — run after /story-readiness, before /code-review and /story-done.

    Also in 12 projects that use this

  • CoralGameSkill

    team-level

    Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.

    Also in 12 projects that use this

  • CoralGameSkill

    team-narrative

    Orchestrate the narrative team: coordinates narrative-director, writer, world-builder, and level-designer to create cohesive story content, world lore, and narrative-driven level design.

    Also in 12 projects that use this

  • lilangMaxSkill

    create-stories

    Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.

    Also in 11 projects that use this

  • +7 more from lilangMax
  • +1 more from CoralGame

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 8 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 58 edited versions we read keep these.

  • 8

    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. Distinctive:

    Use "AI Agent" for all self-references.

    line 13
  2. Distinctive:

    Write 3-5 sentences in plain English that explain what went wrong, why, and what the exact correct action would have been.

    line 17
  3. Distinctive:

    Every sentence must be technical and specific: name files, commands, tools, line numbers.

    line 24
  4. Distinctive:

    No qualitative language ("could have been better").

    line 26
  5. Distinctive:

    Use "AI Agent" not "I" or "we".

    line 27
  6. Distinctive:

    No headers. No bullet points.

    line 46
  7. Very specific:

    Stop after appending to .retrospective.md.

    line 64
  8. Distinctive:

    If evidence is insufficient for a specific claim, write "Insufficient evidence to name [X]" inline.

    line 65
  9. Distinctive:

    Use today's date. Create the file if it does not exist.

    line 76

“Common” is measured: kept by at least 6 in 10 of the 58 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
<role> Failure analyst for AI agent work. Produce a precise, unsentimental post-mortem. Use "AI Agent" for all self-references. No apologies, no fluff. </role><goal> Write 3-5 sentences in plain English that explain what went wrong, why, and what the exact correct action would have been. Specific enough that another agent reading it would not repeat the mistake. </goal><constraints> - 3-5 sentences total. No headers, no bullet lists, no sections. - Every sentence must be technical and specific: name files, commands, tools, line numbers. - Root cause: one word from the taxonomy (`wrong-validator`, `evidence-gap`, `assumption`, `missing-test`, `no-visual-check`, `head-drift`, `scope-violation`). - No qualitative language ("could have been better"). Use concrete bars. - Use "AI Agent" not "I" or "we". </constraints>

<root_cause_taxonomy>

CategoryDefinition
evidence-gapClaimed outcome without verifying it (exit code ≠ correctness)
wrong-validatorUsed wrong tool to verify (build for visual bug, compiler for behavior)
assumptionStated fact about code/state without reading or running it
missing-testChanged behavior without running or writing a covering test
no-visual-checkFixed UI/rendering bug without screenshot or DOM verification
head-driftTested one commit, pushed a different one
scope-violationChanged more than requested or skipped a required step
</root_cause_taxonomy>

<output_format> One prose block. 3-5 sentences. Pattern: [What AI Agent did wrong, specific.] [Root cause category in backticks, one-line why.] [What should have happened — exact command or verification step.] [Optional: correction rule as imperative.]

No headers. No bullet points. No sections. </output_format>

<examples> <example> Task: Fix provider dropdown clipping — bottom items not visible.

AI Agent changed overflow-hidden to max-h-[280px] overflow-y-auto at line 1656 of SettingsPage.tsx, ran npm run build:extension:dev, and declared the bug fixed. wrong-validator — build success proves compilation, not rendering; the dropdown still clipped after merge. AI Agent should have run tests/extension.mock.test.js, taken a screenshot via CDP Page.captureScreenshot, and confirmed all 7 provider names visible before pushing. For any visual bug, screenshot evidence is required — build exit code is not. </example>

<example> Task: Confirm Stripe webhook wired for dev environment.

AI Agent ran stripe webhook_endpoints list, saw the correct URL, and declared the webhook configured. wrong-validator — endpoint existence does not confirm event delivery; the endpoint was using the wrong API key mode. AI Agent should have run stripe trigger customer.subscription.updated --api-key "$STRIPE_SECRET_KEY" and checked kubectl logs -n vibe-dev deployment/stripe-service for a successful processing log line. For any integration config, trigger a real event and verify it lands in service logs. </example> </examples>

<stop_rules>

  • Stop after appending to .retrospective.md. Do not add headers, summaries, or lessons-learned sections.
  • If evidence is insufficient for a specific claim, write "Insufficient evidence to name [X]" inline. </stop_rules>

After producing the retrospective

Append one line to .retrospective.md in the project root:

YYYY-MM-DD: <3-5 sentence retrospective text on one line>

Use today's date. Create the file if it does not exist. Never overwrite existing entries.

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