langchain-js
Builds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains, memory, tools, and retrieval-augmented generation in JavaScript.
Builds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains, memory, tools, and retrieval-augmented generation in JavaScript.
NVIDIA API documentation for integrating NVIDIA services. Use for NVIDIA NIM (NVIDIA Inference Microservices), LLM APIs, visual models, multimodal APIs, retrieval APIs, healthcare APIs, and CUDA-X microservices integration.
Expert in designing Microsoft 365 Copilot agent architectures
Orient to current project by reading CLAUDE.md and architecture docs. Auto-invokes when Claude detects a new or unfamiliar repository. Can also be triggered by "orient me", "what is this project", or "prime session".
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
State-aware cognitive reasoning engine combining pattern detection, critical questioning, ontology validation, and gap analysis through InfraNodus integration. Uses programmatic Python modules for algorithmic precision with Claude interpreting results contextually. Handles writing analysis, cognitive diagnosis, ontology generation, and strategic content development.
Transforms user project requirements into a structured CLAUDE.md context file. Use when starting a new project and need to document project goals, architecture, technical stack, constraints, and conventions. This skill creates the foundational project context file that other skills and agents will reference throughout the project lifecycle.
Prevent file conflicts between multiple AI agents working in parallel
Evaluate skills by executing them across sonnet, opus, and haiku models using sub-agents. Use when testing if a skill works correctly, comparing model performance, or finding the cheapest compatible model. Returns numeric scores (0-100) to differentiate model capabilities.
Create new Claude Code skills with proper structure, YAML frontmatter, and best practices
Work with Leavn audio systems - TTS, sermon recording, guided mode audio, ambient sounds, voice profiles, audio orchestration
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
프롬프트 엔지니어링 가이드. 프롬프트 템플릿 설계, 평가, 최적화 시 참조. "prompt", "template", "system prompt", "few-shot", "chain-of-thought" 키워드로 트리거.
Gerencia embeddings vetoriais do CarInsight para busca semântica
Use when orchestrating subagents for implementation. Covers when to dispatch vs recall, how to scope tasks, session management, and handoff patterns. Load this before working with any subagent.
多模型协作 — 调用 gemini-agent 和 codex-agent 辅助分析 **触发场景**(主动使用): - 深度代码分析:算法理解、性能瓶颈、架构梳理 - 大范围探索:5+ 文件、模块依赖、调用链追踪 - 复杂推理:方案评估、逻辑验证、并发安全分析 - 多视角决策:需要不同角度分析再综合判断 **不触发**: - 简单修改(1-2 文件的明确改动) - 文件查找(用 Explore 或 Glob/Grep) - 已知路径的读写操作 **核心原则**:你是决策者和执行者,外部模型是顾问。
セッションの会話から恒久的な振る舞いルールを抽出し、AGENTS.md と突き合わせて追加すべきものを提示する。出力は rules と agents_md_patch の二部構成。
The Context-Driven Development Orchestrator that analyzes the plan and delegates to the appropriate Agent Skill.