generate-agent-skills
Generate documentation skills for AI agents from downloaded docs. Use after /build-my-context7 to create skills.
Boost efficiency with task automation and organizers.
Generate documentation skills for AI agents from downloaded docs. Use after /build-my-context7 to create skills.
AI-powered enterprise skill creation orchestrator with intelligent discovery, predictive optimization, ML-based content generation, and Context7-enhanced development patterns. Use when creating smart skill systems, implementing AI-driven skill generation, optimizing skill performance with machine learning, or building enterprise-grade skill factories with automated compliance and governance.
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
既存設定と完全に整合したスキルを自動作成。~/.claude/CLAUDE.md、context/*.md、既存スキルを自動参照し、重複・競合を避けたスキルを生成。使用: /create-skill --user <内容> または /create-skill --project <内容>
This skill should be used when the user asks about "adding a tool", "FunctionTool", "creating tools", "MCP integration", "OpenAPI tools", "built-in tools", "google_search tool", "code_execution tool", "long-running tools", "async tools", "third-party tools", "LangChain tools", "computer use", or needs guidance on extending agent capabilities with custom functions, API integrations, or external tool frameworks.
Use when you need to manage project embeddings - embed skills, agents, commands, and MCP tools for semantic discovery. Handles rate limiting, incremental updates, and status reporting. Do NOT use if you just want to search for content - use the semantic router directly instead.
Multi-Platform AI Ecosystem Architect - Master skill for creating ecosystem components across Claude Code, Codex, Auggie, Kilocode, Goose, Gemini-CLI
Optimizes outputs by interpreting underspecified prompts before execution. Analyzes user input, infers missing context and specifications, then executes an enhanced version. Produces better results directly rather than outputting optimized prompt text.
Creates comprehensive skill documents that define specialized Claude capabilities. Use when creating new skills, documenting reusable AI behaviors, establishing automated task patterns, or building autonomous capabilities. Takes skill name, plugin, and optional instructions to generate complete skill files with frontmatter and orchestration logic.
Enterprise Clerk Authentication Platform with AI-powered modern identity architecture, Context7 integration, and intelligent user management orchestration for scalable applications
Create, configure, and deploy Hugging Face Spaces for showcasing ML models. Supports Gradio, Streamlit, and Docker SDKs with templates for common use cases like chat interfaces, image generation, and model comparisons.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Download Claude Code templates from aitmpl.com (GitHub API). Use PROACTIVELY to search and install agents, commands, skills, mcps, settings, hooks, and plugins.
Synchronize project CLAUDE.md with recent codebase changes by analyzing git history, reviewing against official Anthropic best practices using parallel agents, and proposing comprehensive updates. Use when CLAUDE.md is outdated or doesn't exist.
Store episodes in Graphiti Memory: agent executions, error resolutions, workflow completions, technical decisions. Provides JSON schemas and storage patterns. Use when user mentions storing in Graphiti, add_memory, episode storage, building knowledge base, or documenting agent work.
Build Claude Code framework components (agents, slash commands, skills, plugins) following standardized templates. Use when creating new agents, commands, skills, or plugins for the multiagent framework.
Chat endpoints, embeddings, RAG workflows, vector search
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Generate URLs for the LimaCharlie web application interface. Quickly open the web UI for any feature: dashboard, sensors, detections, D&R rules, FP rules, secrets, outputs, lookups, payloads, YARA rules, artifacts, investigations, extensions, adapters, installation keys, billing, users, playbooks, AI agents, and more. For sensor-specific pages: timeline, console, processes, network, file-system, live-feed. For groups: members, organizations, permissions. Use for "open dashboard", "link to detections", "web UI for sensor", "open D&R rules page", "browser link", "app link", "open in web", "show me URL for", "go to".
This skill helps capture unstructured thoughts (via text or voice) across multiple turns and converts them into structured memos that are saved to a Notion inbox database. Use when the user wants to create a memo, capture thoughts, or provide content that should be documented verbatim without analysis or response.
Specialized skill for performing deep web and code research regarding mojo and general software technologies. Use this skill when the user needs mojo specific or other language guidance, architectural analysis, or technical research without any code modification.
Review and optimize PAI (Personal AI Infrastructure) codebases as Claude Code evolves. Use when analyzing PAI repositories against 12-factor agent principles, checking for Claude Code feature compatibility, auditing context management patterns, or generating upgrade recommendations. Triggers on requests involving PAI optimization, Claude Code feature adoption, agent architecture review, or context engineering improvements.