agentleFS
JaimeGBAJaimeGBA/Ion/.claude/skills/review/SKILL.md

review

Skill9 starsChanged 7 months agoMITView on GitHub

Deep review of a knowledge area — find gaps, contradictions, staleness, and suggest improvements

We split this skill into the rules it gives an agent

4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 159 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If no area is specified, ask which area to review.

    line 14
  2. Very specific:

    Read ALL files in the specified knowledge/ subdirectory

    line 20
  3. Very specific:

    Read ion/state.md for current context

    line 21
  4. Very specific:

    Add deferred fixes to ops/action-items.md

    line 60

“Common” is measured: kept by at least 6 in 10 of the 159 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

Review — Deep Knowledge Review

Conduct a thorough review of a specific knowledge area.

Usage

The partner specifies an area: /review strategy, /review goals, /review characters, etc. The valid areas depend on the chosen mode (see ion/state.md).

If no area is specified, ask which area to review.

Process

  1. Dispatch the Librarian sub-agent to scan the area for structural issues, contradictions, and staleness
  2. Dispatch the Strategist sub-agent if the area involves planning, positioning, or external context (e.g., strategy, intelligence, goals, plot) — for deeper analytical review
  3. Read ALL files in the specified knowledge/ subdirectory
  4. Read ion/state.md for current context
  5. Cross-reference with adjacent knowledge areas that might reveal inconsistencies

Analysis

For each file in the area, evaluate:

  • Currency: Is the information still accurate? Are dates outdated?
  • Completeness: Are there obvious gaps or unanswered questions?
  • Consistency: Does anything contradict other files in the knowledge base?
  • Actionability: Is the knowledge driving decisions, or just sitting there?
  • Depth: Is the level of detail appropriate for the partner's current situation?

Output

# Review: [Area] — [Date]

## Overall Health: [Strong / Adequate / Needs Attention / Critical Gaps]

## What's Solid
[Well-documented, current, useful knowledge]

## Gaps
[What's missing or too thin]

## Stale
[What needs updating — with specific suggestions]

## Contradictions
[What conflicts with other knowledge — cite both sources]

## Recommendations
[Prioritized actions, from most to least impactful]

After Review

  • Save the review to ops/reviews/YYYY-MM-DD-review-[area].md
  • Offer to make recommended updates immediately (following the three-tier model)
  • Add deferred fixes to ops/action-items.md

Download now (ZIP)

  • Other versions192 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 192

    1. garrytan/gstack★ 139ksame name
    2. ansible/ansible★ 71ksame name
    3. docling-project/docling★ 70ksame name
    4. traefik/traefik★ 65ksame name
    5. ClickHouse/ClickHouse★ 51ksame name
    6. temporalio/temporal★ 24ksame name
    7. tisfeng/Easydict★ 15ksame name
    8. juicedata/juicefs★ 15ksame name
    9. elie222/inbox-zero★ 13ksame name
    10. gitkraken/vscode-gitlens★ 9.9ksame name

    182 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.

  • Used alongsideProjects with it also use daily-arxiv, exp-eval and 9 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.
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    • DAIR-AutoResearchSkill

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      Also in 4 projects that use this

    • DAIR-AutoResearchSkill

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      Also in 4 projects that use this

    • +5 more from Lambenthan
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