ใฟในใฏใฎ่ค้ใใซๅฟใใฆ Claude ใฎใขใใซใ่ชๅ็ใซๅใๆฟใใใ่ค้ใชใฟในใฏ๏ผใขใผใญใใฏใใฃ่จญ่จใๅคง่ฆๆจกใชใใกใฏใฟใชใณใฐใ้ฃ่งฃใชใใฐไฟฎๆญฃ๏ผใงใฏ opus ใใๅ็ดใชใฟในใฏ๏ผๅฐใใชไฟฎๆญฃใใใฉใผใใใใ็ฐกๅใช่ณชๅ๏ผใงใฏ sonnet ใ่ชๅ้ธๆใใณในใใจๅ่ณชใฎใใฉใณในใๆ้ฉๅใ
Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.
Delegate tasks to remote Claude Code agent containers for parallel execution, long-running analysis, or resource-intensive operations.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
AI-native session continuity through shape anchors rather than linear logs. Use when beginning a session to orient from prior state, or when ending to crystallize state for future instances.
ๅฐ็ฎๅๆ็คบ่ฏไผๅไธบ็ฌฆๅ Nano Banana Pro ๆไฝณๅฎ่ทต็้ซ่ดจ้ๆ็คบ่ฏใๅฝ็จๆท้่ฆไธบ Gemini 3 Pro Image ็ๆๅพๅใไผๅ AI ็ป็ปๆ็คบ่ฏใๆๆๅ Nano Banana Pro ๆถไฝฟ็จใ
This skill should be used when the user asks about "token efficiency", "compress responses", "reduce token usage", "minimize context", "compact format", "token optimization", or discusses reducing token consumption in MCP responses while maintaining value.
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
Install agent skills from various sources including local paths, GitHub URLs, or the dot-agents repository. Use when adding new skills to a project or user environment.
Keeps repo-local agent instructions consistent by proposing updates to AGENTS.md when a user corrects the coding agent or asks to change AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or GEMINI.md.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Evaluate RAG systems with hit rate, MRR, faithfulness metrics and compare retrieval strategies. Use when testing retrieval quality, generating evaluation datasets, comparing embeddings or retrievers, A/B testing, or measuring production RAG performance.
Guide for using Claude Code programmatically via CLI flags and SDKs. Use for automation, CI/CD pipelines, scripting, and building tools on top of Claude Code. Covers --print mode, output formats, session management, and SDK integration.
Configure TimeGPT fine-tuning on custom datasets with Nixtla SDK. Use when training domain-specific forecast models. Trigger with 'fine-tune TimeGPT' or 'train custom model'.
Expert knowledge for Datastore Layer modeling in Documentation Robotics
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
