Boost efficiency with task automation and organizers.
Create and manage Lola modules for multi-assistant AI context distribution. Use when building portable AI skills with multi-assistant support (Claude Code, Cursor, Gemini CLI). This skill is triggered when users say "create a lola module", "build a lola skill", "write a module.yml", "add slash commands to lola", or "distribute skills to multiple assistants".
The ultimate unified development skill combining 25+ programming languages, 9+ BaaS providers, 6+ development functions, and 15+ security capabilities with AI orchestration, Context7 integration, enterprise compliance, and end-to-end project automation
Guide technology selection workflow and ADR creation. Use when user asks about choosing a technology, comparing options, or needs to make a tech decision. Orchestrates discovery, evaluation, and documentation.
Use multiple Claude agents to investigate and fix independent problems concurrently
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
Spawn and control external coding agents (Claude Code, Codex, OpenCode, Pi) for delegating tasks. Use when (1) user asks to run another coding agent, (2) delegating subtasks to a different AI tool, (3) running multiple agents in parallel on separate issues, (4) spawning an agent in an isolated environment or worktree, (5) user mentions "codex", "opencode", "pi agent", or running "another claude".
Analyze coding sessions to detect corrections and preferences, then propose targeted improvements to Skills used in the session. Use this skill when the user asks to "learn from this session", "update skills", or "remember this pattern". Extracts durable preferences and codifies them into the appropriate skill files.
Sync AI coding sessions from 14 tools (Claude Code, Codex, Cursor, Aider, Cline, Gemini CLI, Continue, Copilot, Roo Code, Windsurf, Zed AI, Amp, OpenCode, OpenRouter) to Obsidian vault as markdown notes. Use when user wants to backup, export, or sync their AI chat sessions to Obsidian, set up automatic syncing, check sync status, or troubleshoot sync issues. Handles secret redaction automatically. Cross-platform (macOS, Linux, Windows).
Comprehensive FastAPI development skill for building APIs from hello world to production-ready applications. Use when building REST APIs, microservices, ML/AI APIs, or full-stack applications with FastAPI. Covers project scaffolding, database integration (PostgreSQL, MySQL, MongoDB, SQLite), testing, Docker deployment, background tasks, file uploads, and production best practices.
Expert Node.js and TypeScript development assistant. Use when writing, reviewing, or debugging Node.js code, TypeScript projects, async programming, streams, performance optimization, or npm packages.
Expert in implementing Microsoft 365 Copilot agents with TypeSpec code (use AFTER project is created). Use when (1) Writing or editing .tsp files in an existing project, (2) Implementing agent instructions and behavior in TypeSpec, (3) Adding or configuring capabilities (WebSearch, OneDrive, etc.) with proper scoping, (4) Creating API plugin actions with @actions decorator, (5) Defining TypeSpec models and enums, (6) Adding @doc decorators and documentation, (7) Compiling TypeSpec with npm run compile, (8) Fixing TypeSpec compilation errors, (9) Working with @agent, @instructions, @conversationStarter decorators, or (10) Implementing TypeSpec syntax for @microsoft/typespec-m365-copilot library. This skill handles TYPESPEC CODE, not project scaffolding.
Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pandas/numpy, machine learning integration, background tasks with Celery, API documentation with OpenAPI/Swagger. Activates for Python, Python backend, FastAPI, Django, Flask, SQLAlchemy, Django ORM, Pydantic, async Python, asyncio, uvicorn, REST API Python, authentication Python, pandas, numpy, data processing, machine learning, ML API, Celery, Redis Python, PostgreSQL Python, MongoDB Python, type hints, Python typing.
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
Use this whenever a user wants to add a new feature or explitly states to research a feature/API or building a plan for a new feature. It iterviews the user for feature details (if not provided), research the best API/service for their needs, confirm choice, then gather all implementation notes for their request and save them as a .claude/plans file.
AI thinking partner for strategy and planning. Reads the current work state, analyzes progress, and helps you plan the next phase while the worker instance builds. Triggered by "think ahead".
Use PROACTIVELY this agent when you need to design and create optimal Claude Code subagents, update existing agents with new capabilities, revise agent configurations, analyze project requirements to identify specialized roles, or craft precise agent configurations with appropriate tool permissions and model tiers. When the user specify "Create or Update subagent [name]", this skill must be triggered.
Build production-ready FastAPI applications with best practices for project structure, async patterns, Pydantic models, dependency injection, database operations, and testing. Use when developing FastAPI backends, REST APIs, or Python async web services.
Local cloud server providing API access to skills and files for Claude.ai
Vercel AI SDK v5: generateText, streamText, useChat, tool calling (use tool() helper + inputSchema), embeddings. v5: sendMessage vs append, message.parts, string models.
Enhanced project documentation with AI-powered features and Context7 integration
Expert HomeAssistant development skill for creating custom sensors (template, REST, command line, Python components), building Lovelace dashboards with custom cards and layouts, and developing custom integrations with config flows, coordinators, and multiple platforms. Use this skill when working with HomeAssistant YAML configuration, Python integration development, or dashboard customization.
