dd-product-recommender
dd-product-recommender 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.
Recommends Datadog products based on a codebase or a stated goal, using a tech-stack→product map and a use-case→product map. No setup instructions provided; intended for users to determine which products fit their needs or goals such as security, cost, or LLM observability.
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
Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product map built from Datadog product capabilities and common technology patterns. Recommendation only; no setup instructions. Use when a user asks which Datadog products fit their app, what to monitor, or which products serve a goal like security, cost, or LLM observability.
dd-product-recommender compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| dd-product-recommender (this page) | datadog-labs | Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product… | 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-product-recommender
- What does dd-product-recommender do?
- Recommends Datadog products based on a codebase or a stated goal, using a tech-stack→product map and a use-case→product map. No setup instructions provided; intended for users to determine which products fit their needs or goals such as security, cost, or LLM observability.
- How do I install dd-product-recommender?
- 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-product-recommender?
- datadog-labs.
- Is dd-product-recommender 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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