Total 50,653 skills, AI & Machine Learning has 8491 skills
Showing 12 of 8491 skills
GitHub Copilot Coding Agent automation. Apply the ai-copilot label to an issue → GitHub Actions auto-assigns Copilot via GraphQL → Copilot creates a Draft PR. One-click issue-to-PR pipeline.
Generate AI videos from text prompts using the HeyGen API. Use when: (1) Generating videos from text descriptions, (2) Creating AI-generated video clips for content production, (3) Image-to-video generation with a reference image, (4) Choosing between video generation providers (VEO, Kling, Sora, Runway, Seedance), (5) Working with HeyGen's /v1/workflows/executions endpoint for video generation.
Route requests between different LLM providers and models. Configure routing rules, fallback providers, and model-specific parameters inspired by ZeroClaw and OpenClaw model routing systems.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
Ultra-lightweight AI assistant in Go that runs on $10 hardware with <10MB RAM, supporting multiple LLM providers, tools, and single-binary deployment across RISC-V, ARM, MIPS, and x86.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
improve a CLAUDE.md file using <important if> blocks to improve instruction adherence
Comprehensive skill for project planning and prompt engineering. Covers hierarchical plans (briefs, roadmaps, phases), Claude-to-Claude meta-prompts, and multi-stage workflows. Use when: planning, prompt creation, agentic pipeline work, project roadmap, meta-prompts, research to implement workflow.
Natural language → SQL → execute read queries against the database. Auto-detects local connection, discovers project connectors for remote environments and domain knowledge. TRIGGER when: user asks a data question in natural language (count, list, show, verify, check, how many, cuantos, traeme, muéstrame), mentions database tables, or asks about data in any environment (production, staging, dev, local). DO NOT TRIGGER when: user provides raw SQL ready to execute.
AI-powered analysis of Trump's social media posts to predict stock market movements using 31.5M brute-force tested rules
Use when work should be delegated to Claude Code CLI, especially headless `claude -p` runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.