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awesome-grok-build
awesome-grok-build contiene 13 skills recopiladas de DominikTobureto, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Use when reviewing a diff, pull request, branch, or AI-generated code for correctness, security, regression, test, performance, and maintainability risks before merge.
Use when designing or reviewing safe Grok Build hooks for linting, tests, formatting, notifications, command guards, lifecycle automation, or project hook trust decisions.
Use when auditing a repo before changes to find the smallest safe PR, quality risks, stale docs, missing tests, ignored-file gaps, or agent setup issues. Best first skill for unfamiliar codebases.
Use for clean architecture, modular monoliths, hexagonal boundaries, service boundaries, data flow, dependency direction, ADRs, or large feature planning.
Use for frontend features, Next.js/React/Vue/Svelte UI, accessibility, responsive layout, design polish, state handling, forms, visual QA, or product workflow improvements.
Use for branch prep, clean commits, PR descriptions, GitHub issue triage, changelogs, release notes, review response, merge readiness, or publishing a branch safely.
Use for Next.js App Router, React Server Components, server actions, API routes, auth, database integration, caching, deployment, or full-stack product features.
Use for slow endpoints, p95/p99 latency, database query issues, frontend bundle/render performance, memory leaks, caching, profiling, or performance regressions.
Use for Python code changes, FastAPI/Django/Flask services, packaging, typing, async, pytest, data scripts, dependency hygiene, or Python performance fixes.
Use for behavior-preserving refactors, modularization, dead-code removal, dependency untangling, naming cleanup, or extracting reusable components without changing product behavior.
Use for current web/X research, library/API verification, competitive analysis, source-backed technical decisions, or updating docs with recent facts.
Use for security review, auth/permission changes, secrets, dependency risk, injection, SSRF, XSS, CSRF, data exposure, unsafe hooks, or supply-chain concerns.
Use for test-first development, regression tests, flaky test debugging, coverage gaps, test strategy, CI failures, or converting bugs into minimal reproducible tests.