kevyder/constitution_chat

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and…

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both…

kevyder/constitution_chat

Skill Claude CodeCodex

Create LangChain agents with createagent, define tools, and use middleware for human-in-the-loop and error handling.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

kevyder/constitution_chat

Skill Claude CodeCodex

Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any…

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, threadid, time travel, Store, and subgraph persistence modes.

kevyder/constitution_chat

Skill Claude CodeCodex

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith with the mda CLI. Covers the code-first, file-based project layout; definedeepagent / defineDeepAgent; authored tools and middleware; MCP connectors; cron schedules; skills; sandboxes; mda init/dev/deploy; Context Hub; and…

kevyder/constitution_chat

Skill Claude CodeCodex

Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.