Total 54,172 skills, Code Quality has 2444 skills
Showing 12 of 2444 skills
Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.
Fix the findings recorded in a crate issue file one at a time, with failing test first, minimal fix second, full crate verification third, and issue-file status updates after each successful fix. Use for Rust crate issue lists that already exist and need disciplined sequential repair.
MUST be used when user asks to document TypeScript or Vue code — add TSDoc/JSDoc blocks, docblocks, или «задокументировать» functions, classes, methods, interfaces, type aliases, enums, generics, Vue composables, defineProps/defineEmits/defineModel. Enforces strict TSDoc spec (tsdoc.org) and writes all descriptions in Russian. Triggers on phrases like «добавь tsdoc», «задокументируй», «напиши док», «add tsdoc», «document this», «generate jsdoc».
Local-first code intelligence — structural search, symbol context, impact analysis, and dead code detection via typed graph traversal. Use this skill when you need to search a codebase by intent (not just substring), understand how symbols connect, trace change impact before refactoring, find dead code, or get an architecture briefing. Triggers on: search codebase, find symbol, who calls, blast radius, impact analysis, dead code, code graph, structural search, architecture overview, codebase orientation, understand connections, what depends on, find where.
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Validate domain boundaries -- detect cross-context import violations and aggregate invariant issues
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Run a final code review on a pull request
Run a full Flows app platform review against a React/TypeScript CDF codebase, following the cognitedata/dune-app-reviews scoring criteria. Produces three artifacts: review-files.md (per-file inventory), review-packages.md (dependency audit), and review-report.md (scored report with must/should/nice-fix items). Use when the user asks for a Flows app review, pre-submit review, approval review, app certification review, code quality audit, CDF platform review, or "run dune-review" on a codebase before submission.
Code style and quality rules for Megatron Bridge — ruff configuration, naming conventions, type hints, mypy rules, docstrings, copyright headers, logging, and the code review checklist.
Analyze and transform messy, prototype, overgrown, slop-prone, or hard-to-maintain software repositories into maintainable product-shaped codebases while preserving existing product behavior. Use when the user asks to antislop a codebase, clean up a messy repo, run a maintainability migration, write a refactor plan, modernize structure, improve TypeScript/type boundaries, harden tests, reduce large files, clean architecture, coordinate subagent-driven refactors, or produce a final migration audit/report/microsite. Do not use for broader production-readiness specialties such as security audits, observability/logging programs, compliance hardening, SRE/runbook work, or reliability engineering unless the user explicitly scopes those as part of the maintainability refactor.
After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why).