Total 54,748 skills, AI & Machine Learning has 9098 skills
Showing 12 of 9098 skills
The Oracle. Anticipates your next moves, predicts market shifts, and tells you what you will ask for next based on current codebase context and open files.
Bootstrap skill — teaches the agent how to find and invoke skills. Use when starting any new task or session.
Apply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.
Vendor-neutral skill to cluster sales call objections and extract response patterns for enablement.
Vendor-neutral skill to score customer churn risk from account signals and produce prioritized retention actions.
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
The meta skill. Turn any raw feature into a properly-skilled, tested, resolvable unit of agent capability. Cross-modal eval is the recommended Phase 3 quality gate: 3 frontier models from different providers critique the output, you iterate to quality, THEN write tests that lock in the proven-good behavior.
MCP server providing local-first document management with AI-powered semantic search, hybrid vector search, and intelligent chunking using Orama and Gemini
Control Home Assistant smart home devices through AI assistants using the Model Context Protocol
Use the data.gouv.fr MCP server to search, explore, and analyze French Open Data datasets through AI chatbots
Integrate Anki spaced repetition flashcards with AI assistants through Model Context Protocol for study sessions, deck management, and card creation
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