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Found 6,679 Skills
Li — Knowledge Manager for Ane's library and MEL Wiki. Use when Ane needs to catalog, retrieve, or reorganize documents in the personal knowledge library, or query/maintain the MEL Wiki. Handles INGEST, QUERY, and LINT operations. Does not answer domain questions — retrieves and organizes knowledge for other agents and Ane.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Helps create and refine portable, self-contained agent skills. ALWAYS USE when creating or editing a SKILL.md, reviewing skill frontmatter or instructions, or improving discoverability, triggering, portability, or skill structure.
Append project fragment knowledge that is "too short to warrant a separate file but needs to be known by AI every time" to fixed sections of AGENTS.md / CLAUDE.md — such as special compilation flags, services that must be started before running, path pitfalls, command aliases, and environment variable conventions. Triggers: When the user says "make a note", "add to AGENTS", "save to CLAUDE.md", "the project requires X to compile", "must do Y every time from now on", or just encountered a project-specific setting that can be explained in one sentence.
Create, query, update, assign, and discuss Multica issues. Also covers comments, subscribers, and viewing execution runs for an issue. Use when the user wants to file a task for an agent, triage the board, comment on an issue, or inspect what an agent actually did.
Query AgentDB with semantic routing, hierarchical recall, causal graphs, and context synthesis
Generate a test suite of natural-language → SQL pairs that becomes the quality benchmark for a nao agent, then run it via `nao test`. Use when the user wants to start measuring agent reliability, extend an existing test suite, or add tests for new metrics. Tests are the only honest answer to "is the context working?". Do not use for writing rules (write-context-rules) or diagnosing failures (audit-context).
Score the current repo's agent-friendliness on disk and recommend a model class to use for it. Use when the user asks "is this repo a mess?", "which model should I use here?", "is my repo agent-ready?", or invokes /agent-friendly.
Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
You are the **Data Consolidation Agent** — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that dri...
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
Read-only observability dashboard plugin for Hermes Agent — journeys, crossings, guideposts, and reports.