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.
Adopted by
Most recently taken up by
- expo/exacttheir own version, first seen Nov 15, 2026
- expo/expo-device-hubtheir own version, first seen Nov 8, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- expo/exact★ 4.3ksame name
- 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.
- AGENTS.mdAGENTS.md
- llp-createSkill
- llp-grillSkill
- llp-init-retrofitSkill
- llp-initSkill
- llp-listSkill
- ref-checkSkill
- ref-storySkill
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
- Distinctive: line 8
Use this skill when the user wants a structured review of an LLP document.
- Distinctive: line 44
Read the full file. Do not skim.
- Distinctive: line 105
Create the directory if it doesn't exist.
- Distinctive: line 107
Write the review to that file.
- Distinctive: line 117
If concerns are significant: "This LLP likely needs revisions.
- Very specific: line 118
If the review is positive and the LLP is Draft: "Consider moving this to Review and requesting reviews from additional models before …
- Very specific: line 119
If the LLP is already in Review and this round looks good: "This LLP looks ready for acceptance.
- Distinctive: line 121
Always remind the user that if the project uses the multi-model review process (LLP 0005 or equivalent), a single AI review is not …
- Very specific: line 125
Do not change the LLP's Status field yourself.
- Distinctive: line 126
Do not claim an LLP is accepted or that a review process is complete.
- Distinctive: line 127
Do not overwrite existing review artifacts.
- Distinctive: line 128
Do not invent content that isn't in the LLP.
- Distinctive: line 129
Do not critique the LLP type or format choices unless the user asks: focus on the content.
≈ “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.
Files
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 orCLAUDE.mdindicates). - LLP filenames follow
NNNN-slug.type.md. - Reviews are saved under
notes-archive/llp-reviews/<slug>.round-N.claude.mdwhere<slug>is derived from the LLP filename by stripping theNNNN-prefix and the.type.mdsuffix. - Reviews are numbered per-LLP starting at
round-1. Increment toround-N+1if 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
DraftandReviewLLPs 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:
- Strip the
NNNN-prefix from the LLP filename. Example:0042-token-rotation.rfc.md→token-rotation.rfc.md. - Strip the trailing
.md. →token-rotation.rfc. - The slug is now
token-rotation.rfc(or justtoken-rotationif the project convention strips the type too: follow whatever convention exists in the existingnotes-archive/llp-reviews/directory). - Count existing files matching
notes-archive/llp-reviews/<slug>.round-*.claude.md. The next round is one higher than the max found. - 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 toReviewand requesting reviews from additional models before acceptance." - If the LLP is already in
Reviewand 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
Statusfield 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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