Total 50,676 skills, AI & Machine Learning has 8495 skills
Showing 12 of 8495 skills
Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.
Create and configure Claude Code sub-agents with custom prompts, tools, and models
Upgrade any skill to v5 Hybrid format using decision theory + modal logic
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (mem0, Supermemory, QMD).
Extract experience from the current conversation and automatically generate reusable Claude Code Skills. Use when user wants to extract a skill, summarize into a skill, solidify experience, generate a skill, create a skill from context, save as a skill, or turn experience into a skill.
Create, audit, and maintain CLAUDE.md documentation files that configure Claude Code for projects. Use this skill when (1) initializing a new project with Claude Code configuration, (2) reviewing or improving existing CLAUDE.md files, (3) organizing project instructions using progressive disclosure patterns, (4) converting repeated instructions into permanent documentation, or (5) setting up agent_docs/ structures for larger codebases. Handles the WHAT/WHY/HOW framework, conciseness optimization, and file import patterns.
Use when about to ask the user a factual question, propose a solution, diagnose an error, or choose between approaches. Triggers on: 'Do you have X installed?', 'What version?', 'Is X configured?', 'We should...', 'The fix is...', 'Options: 1...', 'Based on my understanding...', 'I believe X supports...'. Before deciding anything, spin up parallel subagents to WebSearch for current docs, community solutions, framework best practices, and GitHub issues. Your memory is stale — verify everything.
Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.
Use when coordinating multi-agent work with dependencies, parallel workstreams, or complex handoffs requiring milestone tracking
Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual artwork generation.
OpenSpec Spec-Driven Development Assistant - An AI-aided programming framework based on the OPSX workflow. Align requirements with AI before writing code, and manage changes using a Schema-driven artifact dependency system. Trigger Conditions: 1. User mentions "openspec", "opsx", or spec-driven development 2. User wants to start new feature development or refactoring 3. User needs to explore complex problems or clarify requirements 4. User complains about AI misunderstanding or frequent rework 5. User uses slash commands such as /opsx:new, /opsx:ff, /opsx:apply, etc. 6. During project initialization or preparation for major changes