ecoclaw-mcp
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- AlicenseAqualityDmaintenanceEnables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.530MIT
- AlicenseAqualityCmaintenanceEnables discovering, fetching, validating, and converting Claude skills from the skills.sh marketplace and GitHub repositories.819 npmMIT
- AlicenseNot gradedqualityDmaintenanceTurns Claude-style skills (SKILL.md files with resources) into callable MCP tools for any agent. Discovers skills from a directory, exposes their instructions and resources, and can execute bundled helper scripts.154 PyPI401MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible harnesses to load and invoke Claude Code style skills from SKILL.md folders, including listing and reading skill files with user-approval gating for model-invocation restrictions.44 npmGPL 2.0
- FlicenseNot gradedqualityDmaintenanceEnables importing, managing, and using Markdown skills from GitHub repositories, with tools to list, install, view, and remove skills locally.1-
- -licenseNot gradedqualityNot gradedmaintenanceEnables intelligent discovery and management of Claude Skills through semantic search, ratings, favorites, and community curation. Provides tools to search, upload, rate, and organize skills with natural language queries and comprehensive metadata.-
TDQS
Scored across 9 tools
Most tools target distinct actions: listing, discovering, running, tuning, forking, updating, contributing, and building context. The main potential confusion is between list_skills and discover_skills, but their descriptions differentiate installed skills from scanned available skills well.
Tool names mostly follow a consistent snake_case verb_noun pattern such as list_skills, run_skill, tune_skill, fork_skill, and update_skills. The exception is 'contribute', which breaks the pattern by being a bare verb without a noun.
Nine tools is a well-scoped set for a skill-management server. Each tool has a clear role in the discover, configure, customize, update, and share workflow, with no obvious bloat or redundancy.
The toolkit covers listing, discovering, running, tuning, forking, updating, contributing, and context-building, but lacks obvious install and delete/uninstall operations. Agents cannot fully manage the skill lifecycle when a user asks to remove or newly install a skill, though most customization workflows are supported.