review-loop
Skill3 starsChanged 3 months agoMITView on GitHub
Thoroughly improve code quality by requesting a review from a sub-agent after completing tasks requiring code editing, before returning the conversation turn to the user. Use for any task that edits code or configuration. Read this skill before starting edits, and after completing the requested changes run an isolated sub-agent review loop before returning the final response.
54 other projects use a version of this.
Adopted by
Most recently taken up by
- revisit-studies/studytheir own version, first seen Nov 9, 2026
- Mmbugraaslan/motion-plustheir own version, first seen Nov 8, 2026
- zane-tv/holdframetheir own version, first seen Nov 8, 2026
- seankoji-com/.agentstheir own version, first seen Nov 8, 2026
- BK202503/open-claude-alltheir own version, first seen Nov 8, 2026
- Latand/delegatustheir own version, first seen Nov 8, 2026
Used with
Projects with it also use motion-design, polish 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.
soilmassSkillmotion-design
Create animations and motion graphics using industry standards. Use when asked to animate UI elements, create video content, implement transitions, or build motion systems. Implements W3C Design Tokens, Material Design 3 baseline, and Lottie specification compliance.
Also in 5 projects that use this
HK-hubSkillpolish
Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.
Also in 3 projects that use this
GoogleSkillto-spec
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
Also in 4 projects that use this
GoogleSkillimprove-codebase-architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Also in 5 projects that use this
AWSSkillship
Finalize dev work on an issue branch — update docs, push, and open a PR.
Also in 4 projects that use this
MicrosoftSkillcouncil
Convene the persona panel — six orthogonal review lenses — on a target. Cold independent fan-out, debate-to-consensus, synthesized verdict with recorded dissent and a roster manifest.
Also in 3 projects that use this
- +4 more from google
Other versions54 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 54
- didi/mpx★ 4ksame name
- blockscout/frontend★ 310same name
- microsoft/bocpy★ 184same name
- 9thLevelSoftware/legion★ 76same name
- microsoft/Trieste★ 53same name
- revisit-studies/study★ 46same name
- timharris707/skills★ 44same name
- Latand/delegatus★ 37same name
- spxrogers/agentsync★ 35same name
- mathruffian-dot/claude-motion-explainer★ 30same name
44 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 repository6 other files it gives its agents.
- ArkTypeSkill
- cleanup-changesSkill
- identify-search-maintenanceSkill
- prove-it-diagnosticsSkill
- simple-engineeringSkill
- web-masterSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 47 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
When you have performed a task that requires code editing, and
- Distinctive: line 18
After completing the task instructed by the user, and
- Distinctive: line 19
Before returning the conversation to the user
“Common” is measured: kept by at least 6 in 10 of the 47 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
Review Loop Skill
This skill involves thoroughly improving code quality by repeatedly requesting a review from a sub-agent after editing and improving the code based on the results. Humans typically improve code quality by creating a pull request after editing code and having it reviewed by a reviewer. Such reviews are important because they can identify problems that might be missed through self-review alone. Ignore this skill when the user explicitly instructs to skip the review-loop.
When to apply
Apply this skill in the following situations:
- When you have performed a task that requires code editing, and
- After completing the task instructed by the user, and
- Before returning the conversation to the user
Steps
The following is the core of this skill; please follow the specified steps.
1. Request a code review
Request a code review from the subagent.If you have the option to choose whether to fork the context or launch the subagent in an isolated context when starting it, always launch it in an isolated context.
Submit review requests to the review agent using a prompt that strictly adheres to the following format. Review request prompts are not free-form; you must use the template below.
You are a code review agent. Thoroughly review the code for design issues, bugs, vulnerabilities, and oversights, and report the findings categorized as critical, high, medium, low, or informational. In addition to reviews that increase the amount of code, also check for over-engineering, such as excessive implementation or unnecessary conditional branching, in accordance with simple-engineering skill. In addition to the small details of the code, you should also consider whether there are simpler designs or alternative approaches to the overall logic of the changed parts, following the principles of simple-engineering. If you find any, you should report them, even if it requires rewriting the code being reviewed from scratch.
Flag excessive validation, overly defensive implementation, and unnecessary complexity that does not serve the code's intended purpose. For example, a function that opens product links for a specific website may only need to verify the hostname. Checking the pathname may add complexity without improving security. You might remove validation by defining the function argument as a type such as `https://example.com/product/{string}`, or by accepting only a product ID and constructing the link inside the function. These are examples, but you should look for simpler implementations of the same kind. Ask what purpose the code serves and whether the implementation contains only what that purpose requires.
Read the global and project-specific `AGENTS.md` files, along with all relevant skills, including but not limited to simple-engineering and web-master (for web projects), and audit whether the code under review strictly adheres to their instructions. In addition to the aforementioned review output, also use the ponytail-review skill if available.
- Target: {uncomitted changes / filepath etc.}
- User's instructions: {user's request / instructions}Code reviews by sub-agents can take time. Note that if you re-spawn a sub-agent currently undergoing a review simply because it has not yet responded, the review process will start over from scratch, resulting in even longer wait times. It is also prohibited to send additional prompts to urge a review when a review agent is taking a long time to respond.
2. Receive reviews and improve your code
Once you receive the review results from the sub-agent, consider whether each point is valid. You may ignore clearly unreasonable points, but you must address valid points and correct the code accordingly.
In particular, if you receive feedback on a part that doesn't strictly follow the user's instructions as a result of compromises, do not ignore it. Instead, correct it according to the review to align with the user's instructions as much as possible. If you absolutely cannot comply with the user's request, you may ignore the sub-agent's point about that part, but be sure to inform the user of the compromise you made when you return the conversation to them.
3. Review loop
After addressing valid feedback from the subagent, repeat steps 1 and 2 ("1. Request a code review" and "2. Receive reviews and improve your code") until there is no more valid feedback from the subagent, thoroughly improving your code quality. In this review loop, always have a new subagent review your code each time.
4. Report the results to the user
Once the review loop is complete, return the conversation to the user. Be sure to honestly report to the user any points where you had to compromise and did not strictly follow their instructions.
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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.

