dd-orchestrator
dd-orchestrator is an agent skill published by datadog-labs, listed under deploy & operate. It lives in the datadog-labs/agent-skills repository, which has 178 GitHub stars and is licensed under MIT; we last read it on 2026-10-08.
This tool serves as the entry point for Datadog onboarding, translating a developer's plain-language goal into a structured plan. It requires a valid Datadog account and may use dd-account-setup and dd-product-recommender services.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads datadog-labs/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add datadog-labs/agent-skills
Maintenance
Entry point for Datadog onboarding. Takes a developer's plain-language goal, ensures a valid Datadog account with dd-account-setup, asks dd-product-recommender which products fit, detects the project's platform and cloud, then composes an ordered plan across the existing skills (agent install, product enable, verify, and optional cloud integration) and dispatches to each by source URL — honestly flagging products with no skill yet. Use when the user says "set up Datadog", "onboard my app / this repo to Datadog", "instrument my project", or states a monitoring goal without naming a specific product or skill.
dd-orchestrator compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| dd-orchestrator (this page) | datadog-labs | Entry point for Datadog onboarding. Takes a developer's plain-language goal, ensures a valid Datadog account… | 178 | 2026-10-22 |
| agent-observability-eval-bootstrap(same repository) | datadog-labs | Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you c… | 178 | 2026-10-22 |
| agent-observability-eval-pipeline(same repository) | datadog-labs | End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause f… | 178 | 2026-10-22 |
| agent-observability-experiment-analyzer(same repository) | datadog-labs | Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when… | 178 | 2026-10-22 |
| agent-observability-trace-rca(same repository) | datadog-labs | Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval j… | 178 | 2026-10-22 |
| agent-skills(same repository) | datadog-labs | Datadog skills for AI agents. Essential monitoring, logging, tracing and observability. | 178 | 2026-10-22 |
| dd-aws-integration(same repository) | datadog-labs | Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (exter… | 178 | 2026-10-22 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about dd-orchestrator
- What does dd-orchestrator do?
- This tool serves as the entry point for Datadog onboarding, translating a developer's plain-language goal into a structured plan. It requires a valid Datadog account and may use dd-account-setup and dd-product-recommender services.
- How do I install dd-orchestrator?
- Run npx skills add datadog-labs/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes dd-orchestrator?
- datadog-labs.
- Is dd-orchestrator maintained, and what licence does it use?
- Its repository has 178 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22. The repository declares the MIT licence.
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