Total 50,866 skills, AI & Machine Learning has 8519 skills
Showing 12 of 8519 skills
Instructions for using the ModelMix Node.js library to interact with multiple AI LLM providers through a unified interface. Use when integrating AI models (OpenAI, Anthropic, Google, Groq, Perplexity, Grok, etc.), chaining models with fallback, getting structured JSON from LLMs, adding MCP tools, streaming responses, or managing multi-provider AI workflows in Node.js.
Install and configure Juicebox SDK/CLI authentication. Use when setting up a new Juicebox integration, configuring API keys, or initializing Juicebox in your project. Trigger with phrases like "install juicebox", "setup juicebox", "juicebox auth", "configure juicebox API key".
Get a second opinion from Gemini on code, architecture, debugging, or security. Uses gemini-coach CLI with AI-to-AI prompting for clear, actionable analysis. Trigger with 'ask gemini', 'gemini review', 'second opinion', 'peer review', or 'consult gemini'.
Orchestrate full SEC forensic analysis across EM1-EM7, CF1-CF3, KM1-KM2, and AA1-AA3 skills. Use when users request an end-to-end shenanigan scan and consolidated risk report.
Optimize Ideogram costs through tier selection, sampling, and usage monitoring. Use when analyzing Ideogram billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "ideogram cost", "ideogram billing", "reduce ideogram costs", "ideogram pricing", "ideogram expensive", "ideogram budget".
Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".
Comprehensive technical research by combining multiple intelligence sources — Grok (X/Twitter developer discussions via Playwright), DeepWiki (AI-powered GitHub repository analysis), and WebSearch. Dispatches parallel subagents for each source and synthesizes findings into a unified report. This skill should be used when evaluating technologies, comparing libraries/frameworks, researching GitHub repos, gauging developer sentiment, or investigating technical architecture decisions. Trigger phrases include "tech research", "research this technology", "技术调研", "调研一下", "compare libraries", "evaluate framework", "investigate repo".
Query Google Gemini 3 Pro via grsai.com API for text generation and image analysis. Use for text generation, Q&A, summarization, code generation, creative writing, image analysis/vision, complex reasoning, and structured document generation. Triggers on "ask gemini", "use gemini", "query gemini", "analyze this image with gemini", or when a second opinion from another LLM is needed. Optionally accepts an image input for vision tasks.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
모드 기반 완전 자율 실행기. plan 모드에서 Story 구조를 생성하고, epic 모드에서 에픽 1개를 자율 실행(implement → E2E → review)한다. 사람과 직접 소통하지 않는다.
Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.ai with advanced caching and compression. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with optimized performance.