repo-manager
Automate all operations for maintaining the claude-skills-worth-using repository. Use when user wants to add skills, update documentation, release versions, check repository status, manage GitHub operations, or maintain the skills repository. Handles skill addition from external sources, README updates, version management, quality assurance, and repository maintenance with 85-95% time savings.
tech-stack-orchestrator
Comprehensive AI development stack orchestrator for analyzing, recommending, and creating Claude Code components. Use when: (1) Planning a new project and need tech stack recommendations, (2) Analyzing existing project requirements to suggest agents/commands/hooks/settings/MCPs/skills, (3) Creating custom Claude Code components of ANY type, (4) Evaluating effectiveness of tech stacks before building, (5) Building installation command sequences from component selections, (6) User says "orchestrate", "tech stack", "what components do I need", "create agent/hook/command/setting/skill/mcp", "analyze this project", or "recommend tools". This skill combines the capabilities of skill-creator and mcp-builder into a unified orchestration layer for the entire Claude Code ecosystem.
maker-framework
Orchestrate reliable multi-agent reasoning using MAKER (Maximal Agentic Knowledge Engine for Reasoning). Implements three-pillar architecture for transforming probabilistic LLM outputs into deterministic, verifiable results. Use when tasks require high reliability, parallel consensus voting, or systematic error detection. Triggers include reliability-critical tasks, multi-step reasoning chains, consensus-based verification, parallel agent execution, or explicit MAKER invocation.
context7-intake
Use when Codex needs curated documentation context or outlines from the Context7 MCP server.
tutopanda-documentary-producer
Coordinate Tutopanda CLI and MCP to generate, edit, inspect, and preview documentary videos (video-audio-music blueprint with FinalVideo export). Use when users ask for Tutopanda to build, edit, or review movies inside Claude Code.
claude-config-management
Use when configuring, maintaining, troubleshooting, or optimizing Claude Code extensions including skills, commands, hooks, MCP servers, or agents. Provides best practices and prevents common mistakes.
mcp-servers
Speech feedback to user via MCP audio servers. Use when providing status updates or asking questions.
model-enhancement-servers
Guide for creating MCP servers that enhance LLM reasoning through structured processes, persistence, and workflow guidance. Use when building MCP servers for structured thinking, journaling, memory systems, or other cognitive enhancement patterns.
langgraph-coding-assistant
Coding assistant for writing LangGraph v1.xx Python applications with real-time documentation search. Use this skill when (1) writing LangGraph code or building agents, (2) implementing stateful workflows with StateGraph or Functional API, (3) searching LangChain official documentation for latest APIs, (4) needing system prompt templates in English, or (5) configuring Anthropic/OpenAI models for LangGraph. Supports MCP integration at https://docs.langchain.com/mcp for live documentation search.
node-llm-web-automation
Build or update Node.js + LLM API workflows that replace Codex/MCP UI exploration for web automation at lower cost. Use when a user asks to productize page-structure discovery into a Node runner (Puppeteer/Playwright) with LLM-based element selection, deterministic playback control, cost controls, logging, and fallback paths.
skills-router
Routes tasks to skills in skill-db and skill-library using semantic discovery. Triggers on specialized skill requirements, domain-specific tasks, or explicit skill requests. Uses skill-discovery, mcp-skillset, and skill-rag-router for semantic matching.
hackathon-todo-advanced
Complete guide for Panaversity Hackathon II (Todo Spec-Driven Development) Phases 2-5. Use when working on Phase 3 (MCP + OpenAI Agents + ChatKit chatbot), Phase 4 (Kubernetes with Minikube, Helm, Docker), Phase 5 (Cloud deployment with Dapr, Kafka, advanced features), or implementing bonus features (Reusable Intelligence, Cloud-Native Blueprints, Urdu support, Voice commands). Includes detailed references, scaffolding scripts, troubleshooting guides, and implementation patterns for AI-powered todo chatbot with event-driven architecture.
goals
Optimize prompts via process goals (controllable behavioral instructions) rather than outcome goals (sparse end-result demands). Grounded in sports psychology meta-analysis showing process goals (d=1.36) vastly outperform outcome goals (d=0.09). Use when designing prompts, optimizing LLM steering, implementing CoT/decomposition patterns, or building automatic prompt optimization pipelines. Instantiates surrogate loss paradigm for discrete prompt space.
claude-code-architecture
Self-reference guide for Claude Code's own architecture, configuration, and extension points. Use when needing to know where Claude Code stores its configuration files, skills, plugins, hooks, MCP servers, settings, or any other internal structure. Triggers on questions like "where do skills go?", "how do I configure hooks?", "where is the settings file?", or when creating/modifying Claude Code extensions.
marketplace-optimizer
Optimizes this Claude Code marketplace using specialized sub-agents. Each agent is an expert for one element type (skills, commands, agents, hooks, mcp) and loads only relevant documentation. A marketplace agent validates cross-references and latest features. Triggers on "optimize marketplace", "sync with best practices", or when user wants to improve plugin quality.
adk
Comprehensive guide for building AI agents using Google's Agent Development Kit (ADK). Use when building agentic systems, orchestrating multi-agent workflows, creating AI assistants with custom tools, implementing LLM-powered applications, or working with Google Gemini models. Covers agent types (LlmAgent, SequentialAgent, ParallelAgent, LoopAgent), tool integration (FunctionTool, built-in tools, MCP), session management, deployment strategies, and multi-agent coordination patterns.
ashby-api-guide
This skill should be used when the user asks about "Ashby API", "how to use Ashby tools", "Ashby authentication", "Ashby MCP tools", "what can I do with Ashby", or needs help understanding available Ashby operations. Provides complete API documentation and tool usage guidance.
