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Found 13 Skills
Routes tasks to skills in skill-db and skill-library using semantic discovery. Triggers on specialized skill requirements, domain-specific tasks, or explicit skill requests. Uses skill-discovery, mcp-skillset, and skill-rag-router for semantic matching.
Identifies and manages execution dependencies between agent skills by analyzing their inputs and outputs. Use when building multi-step agent workflows to ensure skills are executed in the correct order and that all required data is available.
Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
SkillsMP Skill Marketplace Search and Management Tool. Provides complete functions for searching, viewing details, installing and updating skills on the https://skillsmp.com/ website. Supports two search modes: keyword search and AI semantic search. Use this tool when you need to: (1) Search for skills on specific topics (such as "SEO", "video production"), (2) Find relevant skills through natural language descriptions (such as "how to create a web scraper"), (3) View detailed skill information (version, author, rating, examples), (4) Install discovered skills with one click, (5) Check for updates of installed skills, (6) Manage local skill library.
Captures real usage feedback for agile skills and turns it into evidence-backed proposals to improve, merge, split, deprecate, or remove skills and templates. Use when a skill does not fit a real workflow, when templates need refinement, when skills overlap, or when the process library needs maintenance.
Use when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful `whyHere` notes, and create a starter pack once the first pass is solid.
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
Manage the user's shared agent-skill library via skills-manager-cli — install, update, remove, deploy or undeploy skills per agent, manage presets, organize tags, search, and adopt existing skills. Use this whenever the user wants Claude Code, Codex, Cursor, or another agent to gain or lose a skill, wants to organize the central library, or asks what is installed or deployed. Prefer this over direct agent-folder installs because Skills Manager preserves source metadata, preset membership, updates, and cross-agent deployment state.
Analyze, reorganize, and catalog all installed skills. Merges overlapping skills, restructures the filesystem hierarchy, and generates a compact SKILL_REGISTRY.md routing guide for system prompts.
Sets up and drives TencentDB Agent Memory (MemoryCore + MemoryHub + MemoryProxy + MemoryPanel, from AnEntrypoint/agent-memory) -- a persistent, cross-session memory and knowledge system for AI agents. Chat Memory (L0 conversation -> L1 atom -> L2 scenario -> L3 persona), a versioned Skill library extracted from past work, a Wiki + CodeGraph knowledge map over docs and code, and a human-controlled review panel. Use when the user wants an agent team to share and accumulate memory/skills/knowledge across sessions and across multiple agent frameworks (not just this one Claude Code session), when they mention "memory hub", "team memory", "chat memory", "skill library", "wiki", "codegraph", or ask to install/configure/troubleshoot the memory-tencentdb plugin, or when onboarding a new agent into an existing team's accumulated experience. As of gm's tencentdb_backend addition, this system's format can ALSO be gm's own memorize/recall/memorize-fire/memorize-prune backend for an opted-in namespace (see gm.config.json's memory.tencentdb_backend) -- when that's enabled, the verb surface an agent already knows is unchanged; only the storage target moves. Use this skill for the standalone deployment (Docker Compose, panel UI, team review) or when gm's own backend is not what's being asked about.