Total 50,633 skills, AI & Machine Learning has 8486 skills
Showing 12 of 8486 skills
Review a prompt to identify ambiguities, missing constraints, and hallucination risks, and provide an optimized version.
AI agent for Aave V3 Liquidation Watcher via Teneo Protocol
Lance une réunion simulée avec plusieurs personas experts pour analyser un sujet sous des perspectives diverses, prendre une décision et proposer une solution avant implémentation. Peut optionnellement publier l'analyse de la réunion sur une issue GitLab ou GitHub liée.
Interpreted crypto wallet data for AI agents. Use when an agent needs portfolio values, token positions, DeFi positions, NFT holdings, transaction history, PnL data, token prices, charts, gas prices, swap quotes, or DApp information across 41+ chains. Zerion transforms raw blockchain data into agent-ready JSON with USD values, protocol labels, and enriched metadata. Supports x402 pay-per-request ($0.01 USDC on Base) and API key access. Triggers on mentions of portfolio, wallet analysis, positions, transactions, PnL, profit/loss, DeFi, token balances, NFTs, swap quotes, gas prices, or Zerion.
Design Pydantic models and LLM prompt templates for structured extraction pipelines. Use when creating, editing, or reviewing Pydantic models that serve as LLM output schemas, or when writing prompt templates that pair with those models. Trigger: "pydantic model", "structured output", "extraction schema", "LLM output model", "schema design".
Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.
HuggingFace hf CLI: search/download/upload models, datasets.
Summarize text content, web pages, documents, and long-form articles into concise, structured summaries.
Human-in-the-loop safety controls — approval routing via human, LLM judge, or auto-approve with guardrail overrides.
AI content creation — blog posts, social captions, video descriptions, newsletter copy, all SEO-optimized and platform-adapted.
Text-to-speech synthesis via Google Cloud Text-to-Speech API — MP3 output, configurable language and voice, voice listing.
Speaker diarization — identifies and tracks who is speaking at each moment in an audio stream, using provider-delegated labels or local offline clustering.