Total 32,324 skills, AI & Machine Learning has 5220 skills
Showing 12 of 5220 skills
Starts a voice conversation with the user via the agent-voice CLI. Use when the user invokes /voice. The user is not looking at the screen — they are listening and speaking. All agent output and input goes through voice until the conversation ends.
Vercel AI SDK (Python) - patterns for building LLM-powered apps with streaming, tools, hooks, and structured output
Fully autonomous research pipeline that turns a topic idea into a complete academic paper with real citations, experiments, and conference-ready LaTeX.
Initialize a Claude Code project structure with CLAUDE.md, .claude/ (settings, hooks, skills), docs/, tools/, and src/ module-level context files. Use when the user asks to "init claude code project", "initialize project structure", "scaffold claude project", "set up AI-native repo", or wants to create an AI-friendly repository layout for Claude Code.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version focused on core proactive capabilities.
Use after resolving a bug, failed task, or unexpected agent behavior to improve the pipeline skills, agents, hooks, or scripts that contributed to the problem. Also proactively suggest improvements when recurring patterns or inefficiencies are observed.
Install and use the Edict (三省六部) multi-agent orchestration system with 12 specialized AI agents, real-time kanban dashboard, and audit trails
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
Execute Groq primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "groq main workflow", "primary task with groq".
Agente de contexto para continuidade entre sessoes. Salva resumos, decisoes, tarefas pendentes e carrega briefing automatico na sessao seguinte.
Train your own GPT-2 level LLM for under $100 using nanochat, Karpathy's minimal hackable harness covering tokenization, pretraining, finetuning, evaluation, inference, and chat UI.
improve a CLAUDE.md file using <important if> blocks to improve instruction adherence