Offers comprehensive build and test commands with detailed TypeScript style guidelines, layered library architecture, and monorepo structure using yarn workspaces.
Automatically send Claude Code conversation traces to LangSmith for monitoring and analysis. Prerequisites: jq (brew install jq on macOS or sudo apt-get install jq on Linux), curl and uuidgen (usually pre-installed), LangSmith account and API key. Configuration: Install langsmith-tracing setting (npx claude-code-templates@latest --setting telemetry/langsmith-tracing) or manually add to .claude/settings.local.json the following environment variables: TRACE_TO_LANGSMITH=true, CC_LANGSMITH_API_KEY=lsv2_pt_..., CC_LANGSMITH_PROJECT=project-name, CC_LANGSMITH_DEBUG=true (optional). How it works: Runs in background on Stop event after each Claude response, reads conversation transcript, converts to LangSmith format, sends to LangSmith API, groups by thread_id for session continuity. Debugging: Check logs at ~/.claude/state/hook.log. Privacy note: System prompts not included in traces.
Configure LangSmith tracing environment variables for Claude Code observability. Sends conversation traces to LangSmith for monitoring and analysis. Requires: LangSmith account and API key from https://smith.langchain.com/settings/apikeys. After installation, replace YOUR_API_KEY_HERE with your actual API key (starts with lsv2_pt_). Set TRACE_TO_LANGSMITH to false to disable tracing.
References specific files for sparse matrix operations, explains transform usage, compares with previous approaches, and sets data formatting context for development.
Sets context for model training by referencing pipeline files, establishing working context, and preparing for pipeline work with relevant documentation.
Loads LLM configuration files to context, importing specific terminology, model configurations, and establishing baseline terminology for AI discussions.