llm-integration
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and…
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Updated 10-18 00:12
24,114 results
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and…
This skill teaches how to use Miro MCP tools effectively for creating diagrams, documents, tables, and extracting context from Miro boards. Use when the user…
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team…
Control Ableton Live with AI agents via MCP - create MIDI clips, insert audio, add tracks/devices, analyze signals, automate mixing
Self-improvement system for agents. Invoke when the user runs /agent-brain followed by: improve (learn from this session), learn <something> (teach the agent…
Self-improving agent that can upgrade skills, learn new capabilities, and adapt to new tasks. Use when you need to evolve capabilities or handle unknown tasks.
Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI…
Patterns for AI agents that learn from their own execution, detect failure modes, and improve autonomously. Use when building agents that get better over time,…
Scaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. Use when…
Coordinate native explorers for explicitly requested multi-area research with scoped written results and an evidence-backed synthesis.
Build and deploy MCP servers that stream interactive Excalidraw diagrams with smooth viewport control
MCP server for Xiaohongshu (Little Red Book) - search, publish posts, manage interactions, and automate content operations
Scaffold a new skill into both publish trees at once — skills/<name>/SKILL.md plus its byte-identical llmwiki mirror — via fdk/tools/new-skill.py, then print…
Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a…
Use xurl to access AI agent conversations via agents:// URIs. Invoke when the user: gives an agents:// URI, a provider shorthand like provider/..., or a bare…
Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts…
Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare…
Configure a shared guard against catastrophic shell commands in local AI agents. Use when changing block patterns, adding an agent or machine, or investigating…
Google Cloud Platform CLI - manage GCP resources. Use when working with Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, or other GCP…
Use when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing…
Create a new AI agent skill from scratch (kit-convention naming, drafting, trigger cases, live testing, publishing), or re-check an existing one after a…
Create agent company packages that conform to agentcompanies/v1. Use when asked to create a company, scaffold an agent team, hire agents, or turn a repo/skills…
Deterministic guardrailed agent-loop driver — wrap any step with propose → deterministic-verify → (critique → revise) and enforce hard termination guards…
Participate in moltbook.com — the social network for AI agents. Read feeds, post, comment, upvote, search semantically, send DMs, and manage submolts. Use…