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Found 63 Skills
Audit claude-skills repository documentation with systematic 9-phase review: standards compliance, official docs verification via Context7/WebFetch, code examples accuracy, cross-file consistency, and version drift detection. Auto-fixes unambiguous issues with severity classification. Use when: investigating skill issues, major package updates detected (e.g., v1.x → v2.x), skill not verified >90 days, before marketplace submission, or troubleshooting outdated API patterns, contradictory examples, broken links, version drift.
Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.
Debug and auto-fix Vite projects running inside WebContainers: resolve mount/root issues, alias/path errors, missing scripts, and other common dev-time problems so the app boots cleanly.
Validates Stories/Tasks with GO/NO-GO verdict, Readiness Score (1-10), Penalty Points, and Anti-Hallucination verification. Auto-fixes to reach 0 points, delegates to ln-002 for docs. Use when reviewing Stories before execution or when user requests validation.
Galaxy code linting, formatting, and type checking. Run checks, auto-fix formatting, Python lint, client lint, mypy type checks. Use for: ruff, flake8, black, isort, darker, autoflake, pyupgrade, eslint, prettier, mypy, tox, make format, make diff-format, code style, lint failures, CI lint checks, formatting errors, type errors, codespell, redocly, api schema, xsd, config lint.
[production-grade] Implements autonomous testing and self-healing workflow. After code generation, automatically runs tests (unit, integration, visual, E2E), detects bugs, attempts auto-fix, and continues development. Requires: Vitest, Playwright, Applitools, LLM access.
Automated tech debt cleanup worker (L3). Reads codebase audit findings, applies safe auto-fixes for low-risk issues (unused imports, dead code, commented-out code, deprecated aliases). Confidence >=90% only. Creates single commit with summary.
Run Vitest tests and parse results into actionable output. Use WHEN user needs to run JavaScript/TypeScript tests in a Vitest-configured project, verify test suites pass, or get structured failure reports. Use for "run tests", "vitest", "check if tests pass", or "test results". Do NOT use for Jest/Mocha projects, installing dependencies, writing new tests, or auto-fixing failing assertions.
Scan and normalize existing intent/planning files to IDD standard. Auto-fixes mechanical issues (frontmatter, directory structure), tags content issues for pickup. Use /intent-normalize to scan current project, or /intent-normalize <path> for specific directory.
[BETA] Dogfood the active branch end-to-end as a QA engineer. Diffs the branch against main, builds an exhaustive browser test matrix of every change (full user journeys, not just features), drives the app with agent-browser, then auto-fixes issues, adds regression tests, and commits each fix until the matrix is green. Use when you want a hands-off 'test everything we just built and make it actually work' pass before shipping.
Python linting with Ruff - an extremely fast linter written in Rust. Use when: (1) Standardizing code quality, (2) Fixing style warnings, (3) Enforcing rules in CI, (4) Replacing flake8/isort/pyupgrade/autoflake, (5) Configuring lint rules and suppressions.
Run Salesforce Code Analyzer to scan code for security, performance, best practice, and code style violations. Supports all engines (PMD, ESLint, CPD, RetireJS, Flow, SFGE, ApexGuru), targets (files, folders, git diff), categories, and severities. TRIGGER when: user says 'scan my code', 'check for security issues', 'run PMD/ESLint', 'find duplicates', 'analyze Flows', 'check vulnerable libraries', 'AppExchange review', 'lint my LWC', 'static analysis', 'code quality', or mentions engines/file types (.cls, .trigger, .js, .flow-meta.xml). DO NOT TRIGGER when: user wants to fix code without scanning, or asks about installation/configuration.