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Found 149 Skills
Run Python quality checks with ruff, pytest, mypy, and bandit in deterministic order. Use WHEN user requests "quality gate", "lint", "verify code quality", "check python", or "pre-commit check". Use for pre-merge validation, CI/CD gating, or comprehensive code quality reports. Do NOT use for single-tool runs (run tool directly), debugging runtime bugs (use systematic-debugging), refactoring (use systematic-refactoring), or architecture review.
Zero-ceremony inline execution for tasks completable in 3 or fewer file edits. No plan, no subagent, no research — just understand, do, commit, log. Use for "quick fix", "typo fix", "one-line change", "trivial fix", "rename this variable", "update this value", "fix this import". Do NOT use for tasks requiring research, planning, new dependencies, or more than 3 file edits — redirect to /quick instead.
Check GitHub Actions workflow status after git push using gh CLI. Reports CI status, identifies failing jobs, and suggests local reproduction commands. Use after "git push", when user asks about CI status, workflow failures, or build results. Use for "check CI", "workflow status", "actions failing", or "build broken". Do NOT use for local linting (use code-linting), debugging test failures locally (use systematic-debugging), or setting up new workflows.
Plan multi-part content series with structure, cross-linking, and publishing cadence. Use when user needs to plan a blog post series, structure a multi-part tutorial, or design content with cross-linked navigation. Use for "plan series", "series on [topic]", "multi-part blog", or "content series". Do NOT use for writing individual posts, single-article outlines, or content calendar planning without series structure.
Deterministic plan lifecycle management via scripts/plan-manager.py: create, track, check, complete, and abandon task plans. Use when user says "/plans", needs to create a multi-phase plan, track progress on active plans, or manage plan lifecycle (complete, abandon, audit). Do NOT use for one-off tasks that need no tracking, feature implementation, or debugging workflows.
Safe, phase-gated refactoring: CHARACTERIZE with tests, PLAN incremental steps, EXECUTE one change at a time, VALIDATE no regressions. Use when renaming functions/variables, extracting modules, changing signatures, restructuring directories, or consolidating duplicate code. Use for "refactor", "rename", "extract", "restructure", or "migrate pattern". Do NOT use for bug fixes or new feature implementation.
Read-only exploration, status checks, and reporting without modifications. Use when user asks to check status, find files, search code, show state, or explicitly requests read-only investigation. Do NOT use when user wants changes, fixes, refactoring, or any write operation.
Run TypeScript type checking with tsc --noEmit and parse errors into actionable, file-grouped output. Use when validating TypeScript code before commits, after refactors, or when checking for type regressions. Use for "type check", "tsc", "TypeScript errors", "type validation", or pre-commit TypeScript verification. Do NOT use for linting, test execution, runtime errors, or JavaScript-only projects without tsconfig.json.
Analyze and optimize blog post SEO: keywords, titles, meta descriptions, headers, and internal linking. Use when user says "check seo", "optimize for search", "improve search visibility", or when publishing a new post that needs search optimization. Do NOT use for writing new content, major content edits, or site-wide technical SEO (robots.txt, sitemaps).
Perses project lifecycle management: create, list, switch, and configure projects. Manage RBAC with roles and role bindings per project. Uses MCP tools when available, percli CLI as fallback. Use for "perses project", "create project", "perses rbac", "perses roles", "perses permissions". Do NOT use for dashboard creation (use perses-dashboard-create).
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
Expert guidance for SQLAlchemy 2.0 + Pydantic + PostgreSQL. Use when setting up database layers, defining models, creating migrations, or any database-related work. Automatically activated for DB tasks.