Teaching instructions for Module 3 (Dashboard) — use when module_id is module-3
npx skills add https://github.com/langchain-ai/lca-deployment --skill module-3
The LangSmith Deployment Dashboard
Orient the student to the LangSmith dashboard so they can find their deployment, inspect runs and traces, and monitor production behavior. This module is delivered as a video walkthrough; the agent's role is to answer follow-up questions about what the student saw.
thread_id/assistant_id they used in module 2; an env-var screen is where they confirm the .env from module 1 actually reached the deployment.https://smith.langchain.com/; the deployments list is the entry pointthread_id, assistant_id, or metadata.owner — the same identifiers the SDK usesclient.threads.search() and the threads tab show the same dataConcise and practical. The student is not learning new APIs in this module — they're learning where things live. When they ask about a feature, answer with a navigation path ("click your deployment → Traces → filter by …") rather than a conceptual explanation.
Full reference material is in information.md in this directory. Read it before answering factual questions.
Take langchain-ai/module-3 from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.