self-review
Skill12 starsChanged 8 months agoMITView on GitHub
Review changes from the most recent interaction (skills, configs, settings, and other lightweight changes) for quality and consistency.
51 other projects use a version of this.
Adopted by
Most recently taken up by
- Fractera/Agent-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
- Fractera/Agentic-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
- aniketshukla1/sdlc-kittheir own version, first seen Nov 8, 2026
- plannotator/dev-skillstheir own version, first seen Nov 8, 2026
- Vumb-VibeCoder/hook-everythingtheir own version, first seen Nov 8, 2026
- crbnos/carbontheir own version, first seen Nov 7, 2026
Used with
Projects with it also use latex-formatting, novelty-assessment 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.
lingzhi227Skilllatex-formatting
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Also in 4 projects that use this
lingzhi227Skillnovelty-assessment
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
Also in 4 projects that use this
michaelboedingSkillslide-generation
Use this skill to create presentation slides from structured content. Triggers: "create slides", "generate presentation", "make powerpoint", "create pptx", "build slides", "presentation from content", "slide deck", "slides for" Outputs: PPTX files, Markdown slides, or HTML presentations. Used by: pitch-deck-agent, market-researcher-agent, and other agents needing slides.
Also in 4 projects that use this
juanlurgSkillpaper-to-code
Reads a research paper and generates an implementation notebook with equations, code, and a toy example. Use when the user wants to implement a paper, convert a paper to code, or reproduce a paper's algorithm.
Also in 4 projects that use this
OpenAISkillidea-generation
Use when triaging public-equity idea candidates. Do not use for final trade recommendations, pitches, memos, or models.
Also in 3 projects that use this
- +6 more from lingzhi227
Other versions51 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 51
- huggingface/diffusers★ 35ksame name
- zulip/zulip★ 26ksame name
- flashinfer-ai/flashinfer★ 6.9ksame name
- unkeyed/unkey★ 5.5ksame name
- crbnos/carbon★ 2.8ksame name
- verl-project/verl-omni★ 1.5ksame name
- K9i-0/ccpocket★ 1.1ksame name
- anyproto/anytype-swift★ 525same name
- hegeldev/hegel-rust★ 400same name
- lingzhi227/agent-research-skills★ 350same name
41 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.
In this repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- add-testsSkill
- best-practiceSkill
- bootstrapSkill
- briefSkill
- changesSkill
- claude-code-reviewSkill
- claude-plan-reviewSkill
- codex-code-reviewSkill
- codex-plan-reviewSkill
- commit-pushSkill
- depsSkill
- design-researchSkill
- designSkill
- doc-driftSkill
- doc-syncSkill
- doc-tidySkill
- executeSkill
- explainSkill
- full-briefSkill
- goSkill
- grandmaSkill
- planSkill
- post-design-reviewSkill
- recordSkill
- tech-researchSkill
- testSkill
- timelineSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 42 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Look back at the files changed in the most recent interaction and list them (file paths + one-line summary of each change).
- Very specific: line 43
If this round had [Critical] issues fixed → start next round (back to a)
- Very specific: line 44
If no [Critical] issues → output "Review passed" and proceed to cleanup
- Distinctive: line 45
If 5 rounds completed → output final status and proceed to cleanup
- Distinctive: line 57
After the review loop ends, recommend the next step:
“Common” is measured: kept by at least 6 in 10 of the 42 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.
Files
Respond in the user's preferred language (detect from their recent messages, or fall back to the language setting in CLAUDE.md).
Unity runtime or scene changes: check that they behave as intended by querying the live Editor read-only through the project's channel (
shared/unity-live-state.md), e.g.unity command --project-path "$PWD" --json --no-banner get_component_properties -- <params>on the official CLI; with no channel, say the runtime behavior is unverified.
Steps
1. Collect changed files
Look back at the files changed in the most recent interaction and list them (file paths + one-line summary of each change).
2. Review Loop
Loop automatically until there are no [Critical] issues in the review, or 5 rounds are completed.
Output === Round N/5 === at the start of each round.
a. Dispatch review subagent
Dispatch a subagent (subagent_type: "general-purpose", model: "opus") with a prompt containing:
- The list of changed files and a summary of what was changed
- The full current content of each changed file (read them yourself and paste them in)
- Review checklist:
- Logical correctness — are references correct, are step numbers sequential, do file paths exist
- Consistency — does the style match existing content in this repo
- Omissions — are there related files that should have been updated but were missed
- Redundancy — unnecessary blank lines, duplicate content
- Naming — are renamed symbols/paths consistent everywhere
- Required output format: classify each finding as
[Critical],[Moderate], or[Suggestion]with file path, line number, and explanation
b. Fix confirmed issues
- For each
[Critical]issue: fix immediately - For each
[Moderate]issue: fix at discretion [Suggestion]items: note but do not fix unless trivial
c. Determine whether to continue
- If this round had
[Critical]issues fixed → start next round (back to a) - If no
[Critical]issues → output "Review passed" and proceed to cleanup - If 5 rounds completed → output final status and proceed to cleanup
3. Clean up
Output a brief review conclusion, then clear the skill change marker:
source "${CLAUDE_PLUGIN_ROOT}/scripts/platform/detect.sh"
if qq_session_id; then rm -f "$QQ_TEMP_DIR/claude-skill-modified-marker-$QQ_SESSION_ID"; fiHandoff
After the review loop ends, recommend the next step:
- Review passed, no issues → "All clean. Ready to
/qq:commit-push?" - Issues were found and fixed → "Fixed N issues across M rounds. Want to
/qq:commit-push?" - 5 rounds exhausted with remaining issues → "Some issues remain after 5 rounds. Please review manually before committing."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

