腳本程式

Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).

이벤트 스키마 TypeScript 타입 생성. Use when: 이벤트 봉투 및 Zod 스키마 자동 생성 필요 시

Comprehensive guide for AIDB debug adapter development. Covers component-based architecture, language-specific patterns (Python/debugpy, JavaScript/vscode-js-debug, Java/java-debug), lifecycle hooks, process management, port management, launch orchestration, resource cleanup, child sessions, and common pitfalls. Essential for developing or maintaining AIDB debug adapters.

Generate ROS 2 Python launch files and multi-node system configurations for educational content. This skill should be used when creating lessons that teach launch file syntax, writing exercises involving multi-node startup, parameter configuration, or generating worked examples for robot system deployment.

Orchestrates comprehensive codebase research by decomposing user queries into parallel sub-agent tasks and synthesizing findings. This skill should be used when users ask questions about how code works, where functionality exists, how components interact, or need comprehensive documentation of existing implementations. It focuses exclusively on documenting and explaining the codebase as it exists today.

TypeScript type system fundamentals and basic typing patterns

This skill should be used when the user asks about Action Cable, WebSockets, real-time features, channels, broadcasting, subscriptions, chat applications, live notifications, presence indicators, collaborative editing, server push, pub/sub patterns, Solid Cable, or streaming updates. Also use when discussing real-time architecture, WebSocket deployment, or alternatives like polling and Server-Sent Events. Examples:

This skill should be used when the user asks to 'extract a skill from a debugging session', 'convert debugging session to skill', 'create skill from debug history', 'generate skill from troubleshooting', or mentions extracting reusable knowledge from Claude Code debugging conversations. Transforms conversation history into well-structured, reusable skills using conversation parsing and Fabric AI patterns.

Set up Python project for PyPI publishing with pyproject.toml, src layout, and build scripts. Use when creating a new Python package, setting up for PyPI distribution, or initializing a Python library project.

This skill should be used when the user asks to 'extract a skill from a conversation', 'convert conversation to skill', 'create skill from chat history', 'generate skill from session', or mentions extracting reusable workflows from Claude Code conversations. Uses Fabric AI patterns to distill conversations into actionable skills.

Discovers and lists Claude Code session transcripts from .claude/logs/ for analysis. Use when the user wants to find available sessions, view session timelines, identify which sessions to analyze for workflow improvements, or understand session history. Triggers when user mentions "what sessions do I have", "analyze my workflow", "show my recent sessions", "find transcripts from [date]", or similar session discovery requests.

Use when user says "prioritize stories", "what should I work on next", "find next story", "review approved stories", "plan next feature" - generates deterministic priority list via script, then semantically analyzes for missed dependencies and creates implementation plan for the best candidate.

Expert bot developer specializing in Discord, Telegram, Slack automation with deep knowledge of rate limiting, state machines, event sourcing, moderation systems, and conversational AI integration

Comprehensive Firebase development guidance for GCP-hosted applications. Covers Firestore database operations (CRUD, queries, transactions, data modeling), Cloud Functions (1st and 2nd generation, TypeScript and Python, all trigger types), Firebase CLI operations, emulator setup and data persistence, security rules (Firestore and Storage), authentication integration, hosting configuration, and GCP service integration. Use when working with Firebase projects, deploying Cloud Functions, querying Firestore, setting up triggers (Firestore, Auth, Storage, HTTP, Callable, Scheduled, Pub/Sub), managing security rules, configuring hosting rewrites/headers, managing secrets, or integrating with GCP services like BigQuery and Cloud Tasks. Triggers include firebase, firestore, cloud functions, firebase functions, firebase hosting, firebase auth, firebase storage, firebase emulator, firebase deploy, firebase init, firebase rules, callable function, scheduled function, onDocumentCreated, onRequest, onCall, onSchedule.

Autonomous task execution with library discovery, 3-tier validation, and atomic git commits.Integrates with Shannon CLI Python modules for platform-specific execution. Invokes /shannon:wavefor code generation, validates outputs functionally, commits only validated changes. Use when: userrequests autonomous execution, wants library-first development, needs validated commits.

Python debugging techniques, pdb, and IDE debugging tools

Dig up the history of cursed code. Use when you find WTF code and need to understand how it got this way.

Deep codebase analysis to generate 9 comprehensive documentation files. Adapts based on path choice - Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical implementation (tech-prescriptive). This is Step 2 of 6 in the reverse engineering process.

Analyze Claude Code session transcripts to debug plugins, understand context usage, and trace execution flow

Used to create a new agent. Used when a user wants to create a new agent