LLM & Agents

Create new Agent Skills for Claude Code. Use when user wants to create a skill, add a new capability, document a CLI workflow, or asks how skills work.

Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.Use when implementing document ingestion pipelines, vector search with Qdrant, or context-awareretrieval. Covers chunking strategies, change detection, payload indexing, and context expansion.NOT when doing simple similarity search without production requirements.

Guide for creating and configuring custom sub-agents for Claude Code. Use this skill when you need to define specialized agents with dedicated system prompts, tool sets, and models to handle specific tasks.

Standards for writing CLAUDE.md and modular rules files (.claude/rules/) that maximize LLM execution efficiency. Use when creating or editing project instructions, defining conventions, or optimizing agent behavior for determinism and token efficiency. Focuses on eliminating ambiguity and producing consistent agent execution.

Use before committing staged changes when you need to verify all related documentation is current - systematically checks README, CLAUDE.md, CHANGELOG, API docs, package metadata, and cross-references rather than spot-checking only obvious files

Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.

LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.

Multi-agent development workflow system for structured task execution. Use when working with tasks in .tasks/ directory, when user invokes /task, /explore, /research, /spec, /build, /review, or /refactor commands, or when Claude needs to understand the task orchestration system. Provides workflow state management, sub-agent coordination, and session persistence.

Integrate external REST and GraphQL APIs with proper authentication (Bearer, Basic, OAuth), error handling, retry logic, and JSON schema validation. Use when making API calls, database queries, or integrating external services like Stripe, Twilio, AWS. Achieves 10-30x cost savings through direct execution vs LLM-based calls. Triggers on "API call", "REST API", "GraphQL", "external service", "API integration", "HTTP request".

強制執行「先讀後寫」規範，確保 Claude 在修改任何檔案前完整閱讀相關代碼。當需要修改檔案時自動使用。

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.

Claude 4.5 Opus 기반 프로젝트 전체 검수 스킬

Configure OADP for AWS with S3 storage, EBS snapshots, IAM policies, and support for standard clusters and ROSA (Red Hat OpenShift Service on AWS).

Evaluate and improve Claude skills for clarity, completeness, testability, and architectural coherence.

Security patterns for RAG and CAG systems with multi-tenant isolation. Use when building retrieval-augmented or cache-augmented generation systems that require tenant isolation, access control, and secure data handling.

Control Autodesk Fusion 360 CAD software via the Claude Bridge add-in. Create sketches, draw shapes, extrude 3D objects, and build complex models interactively.

Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings

Build AI-native applications with AI SDK v5. Use when integrating LLMs (OpenAI, Anthropic, Gemini) for text generation, streaming, structured outputs, embeddings, image generation, or audio processing. Covers setup, core workflows, provider selection, and advanced features like reasoning, caching, and tool usage.

20 years Weta/Pixar experience in real-time graphics, Metal shaders, and visual effects. Expert in MSL shaders, PBR rendering, tile-based deferred rendering (TBDR), and GPU debugging. Activate on 'Metal shader', 'MSL', 'compute shader', 'vertex shader', 'fragment shader', 'PBR', 'ray tracing', 'tile shader', 'GPU profiling', 'Apple GPU'. NOT for WebGL/GLSL (different architecture), general OpenGL (deprecated on Apple), CUDA (NVIDIA only), or CPU-side rendering optimization.

Transform prompts into structured TCRO format with phase-specific clarification. Automatically invoked by /ai-eng/research, /ai-eng/plan, /ai-eng/work, and /ai-eng/specify commands. Use when refining vague prompts, structuring requirements, or enhancing user input quality before execution.