am-command-review
Skill27 starsChanged 2 months agoMITView on GitHub
Review current changes for code quality and best practices
In this repository167 other files it gives its agents.
- AGENTS.mdAGENTS.md
- src/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- add-agent-targetSkill
- add-global-mode-targetSkill
- am-agent-code-debuggerSkill
- am-agent-code-documenterSkill
- am-agent-code-refactorSkill
- am-agent-code-reviewerSkill
- am-agent-code-security-auditorSkill
- am-agent-code-standards-enforcerSkill
- am-agent-security-auditorSkill
- am-agent-test-engineerSkill
- am-agent-test-runnerSkill
- am-agent-typescript-developerSkill
- am-command-buildSkill
- am-command-code-simplifySkill
- am-command-commitSkill
- am-command-planningSkill
- am-command-planSkill
- am-command-ponytail-auditSkill
- am-command-ponytail-debtSkill
- am-command-ponytail-gainSkill
- am-command-ponytail-helpSkill
- am-command-ponytail-reviewSkill
- am-command-ponytailSkill
- am-command-shipSkill
- am-command-specSkill
- am-command-testSkill
- api-and-interface-designSkill
- browser-testing-with-devtoolsSkill
- changelog-generatorSkill
- ci-cd-and-automationSkill
- code-review-and-qualitySkill
- code-reviewerSkill
- code-simplificationSkill
- context-engineeringSkill
- debugging-and-error-recoverySkill
- deprecation-and-migrationSkill
- docs-and-examplesSkill
- documentation-and-adrsSkill
- doubt-driven-developmentSkill
- frontend-ui-engineeringSkill
- git-workflow-and-versioningSkill
- grillingSkill
- grill-meSkill
- handoffSkill
- homebrew-packagingSkill
- idea-refineSkill
- incremental-implementationSkill
- interview-meSkill
- lessonsSkill
- library-testingSkill
- package-release-engineeringSkill
- performance-optimizationSkill
- planning-and-task-breakdownSkill
- ponytail-auditSkill
- ponytail-debtSkill
- ponytail-gainSkill
- ponytail-helpSkill
- The first 60 shown.
The file
Files
Review the current git diff and provide feedback on:
- Code quality and readability
- Potential bugs or edge cases
- Adherence to project conventions
- Test coverage gaps
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.