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Found 54 Skills
Set up automated CI failure detection and fixing using Claude Code. Use when you want to create a GitHub Actions workflow that automatically analyzes workflow failures, applies fixes for common issues, and opens issues for complex problems.
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
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.
Inspect or run the manual maintenance workflow. Uses explicitly configured repository checks, applies safe auto-fixes, and archives successful maintenance changes.
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.
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.
Run Python (ruff) and JavaScript (Biome) linting, formatting, and code quality checks with auto-fix support. Use when code needs linting, formatting, or style checking before commits. Use for "lint", "format", "ruff", "biome", "code style", or "check quality". Do NOT use for comprehensive code review (use systematic-code-review).
Security Check - Security review for skills before installation. Triggers: Before installing new skills, regular review of installed skills, or when security issues with a skill are suspected. Security Checks: - Dangerous Commands: rm -rf, sudo, curl|bash, etc. - Network Requests: Potential data leakage risks - File Writes: Writing to sensitive locations - Credentials: Risk of API key/password leakage - Resource Exhaustion: Infinite loops - Privilege Escalation: Privilege escalation attempts - External Dependencies: Suspicious dependencies Commands: - /安检 <skill-path> - Review skill security - /安检 scan <path> - Deep scan - /安检 list - List risks of installed skills - /安检 fix <skill> - Fix security issues - /security <skill-path> - English command Actions: - Auto-fix: Remove or replace dangerous code - Disable: Disable dangerous features - User Confirm: User chooses whether to proceed - Block: Block installation for severe risks Capabilities: Static code analysis, dangerous pattern recognition, risk assessment, auto-fix, user interactive decision making.
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.
Review code for quality, security, and pattern compliance, then auto-fix Critical/High issues. Grounds every finding in actual codebase reference files.