Total 53,555 skills, AI & Machine Learning has 8920 skills
Showing 12 of 8920 skills
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.
Deep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Use when user asks to research, analyze, investigate, deep-dive, or generate a report on any subject. Supports academic papers (arXiv), technologies, trends, comparisons, and general topics.
Run the trigger evaluation pipeline — classify, analyze, and optionally compare against a baseline. Only run when explicitly asked — evals are expensive.
Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning
Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.
Agent Infrastructure: Bridge any skill or directory of skill collections to Claude Code (~/.claude/skills) and Codex (~/.codex/skills). Supports skills in the dbskill repository as well as absolute paths to external skills. Connect source directories via symlinks, with both ends synchronized when the source directory is modified. Supports batch bridging by skill name, relative path, absolute path, or skills directory, as well as unbridging and checking bridge status. Triggers: /dbs-bridge, /bridge, "bridge this skill", "bridge this skills directory", "connect this skill to Claude Code and Codex", "make this skill callable by both Claude and Codex", "unbridge", "check bridge status" Bridge any skill folder or directory of skill folders to Claude Code and Codex using symlinks. Supports dbskill skills and external skill directories. Use when the user wants one or many skills callable from both agents, or wants to unlink/check bridge status. Trigger: /dbs-bridge, /bridge, "bridge this skill", "bridge this skills directory", "make this skill available to Claude Code and Codex", "unlink this skill", "check bridge status"
Use when building or modifying websites with AI Staff (零号员工/万小智) via Alibaba Cloud OpenAPI. Supports conversation creation, async chat with requirement collection, PRD generation, code generation, and incremental SSE event polling.
Interactive MCP visual output via @json-render/mcp. Upgrade plain JSON tool responses to interactive dashboards rendered in sandboxed iframes inside Claude, Cursor, and ChatGPT conversations. Covers createMcpApp(), registerJsonRenderTool(), CSP config, streaming, and dashboard component patterns. Use when building MCP servers that return visual output, upgrading existing MCP tools with interactive UI, or creating eval/monitoring dashboards.
Build a short music video from a song theme — N keyframes, animate each, generate matching music.
Google Model Armor: Filter user-generated content for safety.
Complete guide for OpenAI APIs: Chat Completions (GPT-5.2, GPT-4o), Embeddings, Images (GPT-Image-1.5), Audio (Whisper + TTS + Transcribe), Moderation. Includes Node.js SDK and fetch approaches.
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.