LLM & Agents

MUST INVOKE this skill when creating executable plans in .prompts/planning/ with Brief → Roadmap → Phases structure. Expert patterns for hierarchical project plans.

Automatically applies when building RAG (Retrieval Augmented Generation) systems. Ensures proper chunking strategies, vector database patterns, embedding management, reranking, and retrieval optimization.

Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.

Microsoft Pragmatic Rust Library Guidelines. Use when designing library crates, public APIs, managing dependencies, or creating reusable components.

Use RepoPrompt CLI for token-efficient codebase exploration

Implement and debug semantic/vector search with model2vec-rs and sqlite-vec. Use for embedding generation, vector queries, hybrid search, or RRF fusion.

Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.

Analyze codebase health - large files, test coverage gaps, duplicate code, dead/legacy code, and documentation issues. Use when asked to scan, audit, or assess code quality, find refactoring targets, or identify technical debt.

Git commit assistant. Triggers when user says "提交代码", "commit", "提交一下", "帮我提交", "push code", or any commit-related requests. Automatically lists changed files, generates commit message, asks for confirmation, executes git add/commit/push after approval.

This skill should be used when the user asks about "MCP tools", "Unity MCP", "enable tool groups", "which MCP tools", "create GameObject", "add component", "run Unity tests", "check scene hierarchy", "spawn agent for Unity", "MCP not working", or needs to coordinate Unity Editor operations via MCP.

Generate tests following project conventions. Use when writing unit tests, integration tests, creating test fixtures, or implementing test builders. Triggers on requests like "write tests for", "add test coverage", "create test builder", "test this handler", or "implement tests".

deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+

Use OpenAI Codex CLI as a discussion partner to verify ideas, evaluate plans, and improve quality. Automatically triggered during implementation planning, troubleshooting, debugging, or when seeking a second opinion on technical decisions.

Builds real-time multiplayer applications with PartyKit on Cloudflare's edge. Use when creating collaborative apps, games, AI agents, or stateful WebSocket servers with global low-latency deployment.

Parallel internal codebase search. Launches 2-4 search agents, consolidates findings to tmp/scout-results.md, returns summary. Use for 3+ files or unknown areas.

Validates PopKit compliance with Claude Code patterns using concrete standards and automated checks

Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for RAG systems.

Answers questions about the cgl-consulting plugin including commands, agents, and methodology. Auto-activates on plugin help requests like "what commands", "how do I use", "where do I start", or "explain the methodology". Provides quick reference or spawns guide agent for complex questions.

OpenAI official SDK usage (Python, Node.js). Use when: writing code that calls OpenAI API, implementing chat/embeddings/images/audio features, handling streaming responses, async patterns, error handling with SDK. For raw HTTP/REST calls, see `openai-api` skill.

Master QMIX, MADDPG, CTDE - multi-agent learning with coordination and credit assignment