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Found 34 Skills
Validate SKILL.md frontmatter and .feature-radar/ files against format rules. Runs validate.sh, reports errors/warnings, and auto-fixes issues. MUST use this skill after editing any SKILL.md or .feature-radar/ file — catches format bugs like the 1024-char description limit before they break skill registration. Use when: - User says "validate", "check format", "lint skills", "run validation" - You just edited a SKILL.md (description, name, or body) — run proactively - You created or modified files in .feature-radar/ — run proactively - Before committing changes that touch skills/ or .feature-radar/ - User asks "are my skills valid?", "verify skills", "check skill format" IMPORTANT: Use this proactively after ANY edit to skills/ or .feature-radar/ files, even if the user doesn't ask for it. Format validation prevents silent breakage.
Scan, fix, and remediate security vulnerabilities in a local code repository using Mobb MCP/CLI. Use when the user asks to scan for vulnerabilities, run a security check, auto-fix issues, remediate findings, or apply Mobb fixes (e.g., \"scan this repo\", \"fix security issues\", \"remediate vulnerabilities\", \"run Mobb on my changes\").
Run parallel quality reviews (React, SOLID, Security, Simplification, Slop) on branch changes and auto-fix issues
Python code quality with ruff linter. Fast linting, rule selection, auto-fixing, and configuration. Use when checking Python code quality, enforcing standards, or finding bugs.
Review code for quality, security, and pattern compliance, then auto-fix Critical/High issues. Grounds every finding in actual codebase reference files.
Comprehensive security auditing for Clawdbot deployments. Scans for exposed credentials, open ports, weak configs, and vulnerabilities. Auto-fix mode included.
Audits and auto-fixes a project's CLAUDE.md against Anthropic best practices. Activates during ship phase — checks conciseness, enforces @import structure for detailed docs, auto-excludes bloat, identifies hook candidates, and auto-fixes structural issues. Flags content questions for developer review.
Runs Vale prose linter on markdown/text files and auto-fixes issues. Use when the user asks to lint, proofread, or improve writing quality of markdown or text files.
Visual inspection and code review for Web Interface Guidelines compliance. Triggers on "review my UI", "check accessibility", "audit design", "review UX", "fix the layout", "find design problems". Supports both static code analysis and visual browser inspection with auto-fixing.
Write AST-based code search and rewrite rules using ast-grep YAML. Create linting rules, code modernizations, and API migrations with auto-fix. Use when the user mentions ast-grep, tree-sitter patterns, code search rules, lint rules with YAML, AST matching, or code refactoring patterns.
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.
Babysit a GitHub pull request after creation by continuously polling CI checks/workflow runs, new review comments, and mergeability state until the PR is ready to merge (or merged/closed). Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and stop only when user help is required (for example CI infrastructure issues, exhausted flaky retries, or ambiguous/blocking situations). Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.