Map a requested agent workflow to supported Managed Deep Agents capabilities before deployment.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source covers requirement discovery, project files, credentials and local-to-managed execution. It explicitly distinguishes supported capabilities from limits of the managed product.
Teams evaluating LangSmith-hosted Deep Agents for a concrete workflow.
Managed execution introduces service dependencies and costs. A local prototype may rely on filesystem or runtime behavior unavailable in the hosted environment.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/managed-deep-agents --skill managed-deep-agentsReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
86/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify required tools, persistence and deployment constraints, check product limits and scaffold the smallest compatible project.
Test locally and in an authorized development deployment, inspect credential boundaries and document unsupported requirements instead of silently replacing them with a different workflow.
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Configure a Deep Agents application around its harness and supported extension points.
Choose Deep Agents storage backends according to persistence and filesystem requirements.
Coordinate Deep Agents tasks with explicit delegation, planning and approval boundaries.