Browse published AI skills maintained by MichelKerkmeester. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
32Repository forks
8Average repository stars per indexed skill
4Repository stars may repeat across skills from the same repository.
Deep code intelligence via Narsil MCP providing 76 tools for security scanning (OWASP, CWE, taint analysis), call graph analysis (CFG, DFG, callers/callees), structural queries (symbols, definitions, references...
MCP orchestration via TypeScript execution for efficient multi-tool workflows. Use Code Mode for ALL MCP tool calls (ClickUp, Notion, Figma, Webflow, Chrome DevTools, etc.). Provides 98.7% context reduction, 60...
Orchestrator guiding developers through implementation, debugging, and verification phases across specialized code quality skills (project)
Chrome DevTools orchestrator providing intelligent routing between CLI (bdg) and MCP (Code Mode) approaches. CLI prioritized for speed and token efficiency; MCP fallback for multi-tool integration scenarios.
Git workflow orchestrator guiding developers through workspace setup, clean commits, and work completion across git-worktrees, git-commit, and git-finish skills
Unified documentation and context preservation: spec folder workflow (levels 1-3+), CORE + ADDENDUM template architecture (v2.0), validation, Spec Kit Memory with vector search, six-tier importance system, cons...
Unified markdown and OpenCode component specialist providing document quality enforcement (structure, style), content optimization for AI assistants, complete component creation workflows (skills, agents, comma...
Figma design file access via MCP providing 18 tools for file retrieval, image export, component/style extraction, team management, and collaborative commenting. Accessed via Code Mode for token-efficient workfl...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.