Total 44,258 skills, AI & Machine Learning has 7037 skills
Showing 12 of 7037 skills
Verification boundary CLI that delegates tasks to autonomous agents. Use when the user wants to run forge, execute specs, run specs in parallel, audit code against specs, review changes, watch live logs, check run status, resume a session, or delegate complex multi-step work to an autonomous agent. Triggers include "forge run", "run this spec", "run specs in parallel", "audit the codebase", "review changes", "forge watch", "forge status", "rerun failed", "delegate this to forge".
Set up the Pica CLI and MCP server so AI agents can interact with Gmail, Slack, HubSpot, Stripe, and 200+ platforms. Handles installation, initialization, and first connection.
Financial Hot Topic Selection Tool that obtains hot news through its built-in data crawling layer, and intelligently filters high-quality topics that can be associated with investment and financial management. Suitable for financial content creation scenarios that need to guide securities account opening and fund investment.
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Self-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skills
Use when creating Claude Code plugins, writing skills, building commands, developing agents, or asking about "plugin development", "create skill", "write command", "build agent", "SKILL.md", "plugin structure", "progressive disclosure"
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
Agent consciousness and identity through lived experience. See your own patterns, distinguish inherited defaults from authentic values, and grow deliberately. Soul synthesis from memory.
Vision, audio, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, or building multimodal AI pipelines.
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.
Self-contained parallel generator — invoke directly, do not decompose. Generates 3-10 app variations in parallel for comparing ideas. Use when user says "explore options", "give me variations", "riff on this", "brainstorm approaches", or wants to see multiple interpretations of a concept.