"A tool or resource for analyzing skills" matching MCP servers:

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.

Exposes 79 cybersecurity skills and 12 orchestrator agents over MCP, with a typed 11-field output contract, an enforced resolvable-evidence gate (no verdict without a resolvable source), and human-approval gating for every mutating action. Apache-2.0, stdlib-only.

A package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

Enables MCP clients to search skills.sh, view leaderboards, inspect skill details, retrieve third-party security audits, and browse official curated skills, with install commands for each result.

Enables auditing OpenClaw's loaded skills for per-step token cost, shadowed duplicates, broken references, and budget overruns, then produces a measured plan to trim or hide expensive skills and archive unused duplicates.

An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

Enables MCP-capable agents to keep a catalog of skills out of the model's context, request the skill that fits a task, and load only that selected skill.

AI skills marketplace, management and connector

An MCP server that lets AI agents browse and fetch skills from remote registries — GitHub repositories or direct HTTP URLs — without installing them locally first.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

MCP server implementing progressive disclosure for skill instructions, loading skills on-demand for token efficiency.

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee

Loads Agent Skills from markdown files, exposing them as MCP tools or system prompts for AI agents.

Serves Agent Skills over MCP using the SEP-2640 Skills Extension, enabling skills discovery, retrieval, and resource reading via MCP.

Emulates Claude Skills with any LLM via MCP, enabling agents to use modular skill packages for specialized workflows and tool integrations.

Enables centralized proxy and orchestration of MCP servers, providing unified tool discovery, authentication, and secure request routing. It adds a human-in-the-loop approval gate for high-risk actions and audit logging.

MCP server for managing AI agent skills with pre-flight compatibility checks, ensuring missing dependencies are detected before execution.

A monorepo MCP server that aggregates multiple sub-servers under a single HTTP endpoint, routing by path, and supports static skills registry with Cloudflare deployment.

In Anthropic's official Claude plugin directory · 400 professional Agent Skills (PRDs, launches, compliance, CVs & more) for Claude, ChatGPT, Gemini, Cursor & Codex. Try free in-browser, or 'npx pm-claude-skills add'

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables agents to send only the handful of tool definitions relevant to each question, ranking a large catalog by keywords and optional embeddings to cut context cost and wrong-tool picks. It can also run in front of any mcpServers config as a proxy that exposes just search_tools and call_tool instead of the whole catalog.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables coding agents to search a directory of Agent Skills and load a specific skill only when a request needs it, avoiding loading every skill description into every session.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

A configurable MCP gateway that runs multiple Streamable HTTP MCP servers and exposes all their tools through a single endpoint, enabling tool aggregation and routing for MCP clients.

A framework for building hot-loadable MCP tools that feature conversational negotiation, graduated permissions, and zero-downtime updates. It enables persistent state continuity across server restarts and provides a hypothetical evaluation system for tool actions.