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AICodeReviewer
AICodeReviewer contiene 8 skills recopiladas de atframework, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Use when: deploying AICR to a remote server, repairing managed issue state after deployment, updating deployed config.yaml, syncing source files, or troubleshooting podman build/run issues; do not use for local development or CI pipeline changes.
Use when: changing or auditing output channel configuration, no-problems behavior, output templates, target links, author mentions, or dispatch contracts; do not use for agent runtime or VCS fetch internals.
Use when: comparing roadmap/docs with implementation, auditing or retiring completed task plans/specs, identifying gaps, fixing issues, or adding missing tests; do not use for unrelated feature work.
Use when: validating repository-wide build, lint, test, markdown, Docker, docs, CI, root tooling, or workspace topology changes; do not use for isolated package-only feature edits.
Use when: auditing, creating, or optimizing AI agent prompts, bridge files, skills, SKILL.md metadata, and cross-tool compatibility; do not use for ordinary feature edits that leave AI-facing assets unchanged.
Use when: implementing or auditing agent CLI runtime materialization, LLM config translation, MCP tool mapping, prompt/instruction layering, and skills merging; do not use for ordinary review logic or output rendering changes.
Use when: planning, coding, refactoring, reviewing, or editing prompts for non-trivial tasks where assumptions, scope control, simplicity, or verification matter; do not use for obvious one-line fixes.
Use when: adding, removing, or reshaping pnpm workspace packages, package manifests, project references, or shared build wiring; do not use for package-local feature edits that leave the scaffold unchanged.