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hyparamhyparam/hypaware/.claude/skills/llp-review/SKILL.md

llp-review

Skill16 starsChanged 3 months agoMITView on GitHub

Review an existing LLP document using a standard review prompt that asks about strengths, concerns, missing considerations, and open questions. Saves the review as a dated artifact for later reference.

2 other projects use a version of this.

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  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. expo/exact★ 4.3ksame name
    2. expo/expo-device-hub★ 285same name

    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.

  • In this repository8 other files it gives its agents.

The file

Show its rules and text

We split this skill into the rules it gives an agent

13 rules. About 0 are common, 10 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈10

    Distinctive · estimate

    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:

    Use this skill when the user wants a structured review of an LLP document.

    line 8
  2. Distinctive:

    Read the full file. Do not skim.

    line 44
  3. Distinctive:

    Create the directory if it doesn't exist.

    line 105
  4. Distinctive:

    Write the review to that file.

    line 107
  5. Distinctive:

    If concerns are significant: "This LLP likely needs revisions.

    line 117
  6. Very specific:

    If the review is positive and the LLP is Draft: "Consider moving this to Review and requesting reviews from additional models before …

    line 118
  7. Very specific:

    If the LLP is already in Review and this round looks good: "This LLP looks ready for acceptance.

    line 119
  8. Distinctive:

    Always remind the user that if the project uses the multi-model review process (LLP 0005 or equivalent), a single AI review is not …

    line 121
  9. Very specific:

    Do not change the LLP's Status field yourself.

    line 125
  10. Distinctive:

    Do not claim an LLP is accepted or that a review process is complete.

    line 126
  11. Distinctive:

    Do not overwrite existing review artifacts.

    line 127
  12. Distinctive:

    Do not invent content that isn't in the LLP.

    line 128
  13. Distinctive:

    Do not critique the LLP type or format choices unless the user asks: focus on the content.

    line 129

≈ “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.

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

llp-review

Use this skill when the user wants a structured review of an LLP document. The review uses a standard prompt designed to elicit substantive feedback rather than surface-level commentary, and the result is saved as a file so reviews accumulate as a durable artifact.

Invoke as /llp-review <identifier> where <identifier> is an LLP number, slug, or filename. If omitted, the skill lists Draft and Review LLPs and asks which to review.

Ground rules

  • LLPs live in llp/ (and any additional directories the project's root LLP or CLAUDE.md indicates).
  • LLP filenames follow NNNN-slug.type.md.
  • Reviews are saved under notes-archive/llp-reviews/<slug>.round-N.claude.md where <slug> is derived from the LLP filename by stripping the NNNN- prefix and the .type.md suffix.
  • Reviews are numbered per-LLP starting at round-1. Increment to round-N+1 if prior rounds exist.
  • A single LLP may have multiple reviews from different models or different rounds: that's expected.

The standard review prompt

Apply this review prompt to the LLP being reviewed:

What do you think of this proposal? Is it a good idea? Do we have a good plan here? How would you change it to make it better? What would you add or take away or change? Is anything definitely or possibly wrongheaded here? Do you have any novel ideas that you think might make this way better even if they are a bit non-standard? What are the key open questions we need to answer to refine this?

Adapt the phrasing slightly if the LLP type is not a proposal (e.g., Research: "What do you think of this analysis? Are the findings sound?" Decision: "Do you agree with this choice?"). The intent is to get substantive feedback that the author can act on, not to produce a checklist.

Workflow

1. Locate the LLP

Accept any of these identifiers:

  • A number: 0042, 42, LLP 0042
  • A slug: token-rotation
  • A filename fragment: 0042-token-rotation
  • A full path: llp/0042-token-rotation.rfc.md
  • Nothing: list all Draft and Review LLPs and ask the user to pick one

Scan llp/ recursively. Match by number first (exact), then by slug substring (case-insensitive). If multiple match, ask the user to disambiguate.

2. Read the LLP

Read the full file. Do not skim.

3. Produce the review

Structure the review as:

# Review of LLP NNNN: <Title>

**Reviewer:** Claude (<model version if known>)
**Date:** YYYY-MM-DD
**Round:** <N>
**LLP Status at review time:** <Draft | Review | etc.>

## Overall assessment

One or two paragraphs on the proposal as a whole. Is it a good idea? Is the plan sound? What's the big-picture reaction?

## Strengths

- Concrete things the LLP gets right - specific sections, specific decisions, specific arguments.
- Be specific, not generic. "Good summary" is not useful; "the summary correctly identifies the trade-off between X and Y" is.

## Concerns

- Substantive issues. Things that seem wrong, underdeveloped, or likely to cause problems.
- Distinguish between "definitely wrong" and "possibly wrong." Mark each concern with severity.
- For each concern, say what would resolve it.

## Suggestions

- Changes the author might consider: additions, removals, reorganizations, alternative approaches.
- Novel ideas that might improve the design, even if non-standard.
- Prioritize suggestions - which ones matter most?

## Open questions

- Questions the LLP doesn't answer but needs to.
- Assumptions the LLP makes without justifying.
- Decisions that are still implicit and should be made explicit.

## Recommended next step

- Does the LLP need revisions before moving forward? (Stay `Draft`)
- Is it ready for a different model's review? (Move to `Review` if not already)
- Is it ready for acceptance? (Move to `Accepted`)
- Is it fundamentally misconceived? (Consider `Withdrawn` or major rewrite)

Lead with findings, not with process. A reader scanning the review should see the overall assessment, strengths, and concerns first.

4. Save the review artifact

Determine the save path:

  1. Strip the NNNN- prefix from the LLP filename. Example: 0042-token-rotation.rfc.md → token-rotation.rfc.md.
  2. Strip the trailing .md. → token-rotation.rfc.
  3. The slug is now token-rotation.rfc (or just token-rotation if the project convention strips the type too: follow whatever convention exists in the existing notes-archive/llp-reviews/ directory).
  4. Count existing files matching notes-archive/llp-reviews/<slug>.round-*.claude.md. The next round is one higher than the max found.
  5. Final path: notes-archive/llp-reviews/<slug>.round-<N>.claude.md.

Create the directory if it doesn't exist.

Write the review to that file.

5. Present the review to the user

Show the full review in the conversation. Also show the path where it was saved so the user can find it later.

6. Suggest status transitions

Based on the review's recommended next step:

  • If concerns are significant: "This LLP likely needs revisions. Consider addressing the concerns and requesting another review."
  • If the review is positive and the LLP is Draft: "Consider moving this to Review and requesting reviews from additional models before acceptance."
  • If the LLP is already in Review and this round looks good: "This LLP looks ready for acceptance. Remember that the project's RFC process may require reviews from multiple models: check LLP 0005 or the project's RFC process guide for the specific requirements."

Always remind the user that if the project uses the multi-model review process (LLP 0005 or equivalent), a single AI review is not sufficient for acceptance: human judgment and additional model reviews are part of the process.

Scope limits

  • Do not change the LLP's Status field yourself. Suggest transitions; leave the change to the user.
  • Do not claim an LLP is accepted or that a review process is complete.
  • Do not overwrite existing review artifacts. Always increment the round number.
  • Do not invent content that isn't in the LLP. Quote or paraphrase to ground the review in the actual text.
  • Do not critique the LLP type or format choices unless the user asks: focus on the content.

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