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Netdata config from requirements

Skill netdata/skills/skills/netdata-config-from-requirements

Use when a customer or prospect has sent a written requirements document, architecture brief, or RFP and the deliverable is a config bundle (Netdata otel.yaml, OpenTelemetry Collector pipelines, per-language instrumentation handoff, verification playbook) that the customer applies themselves. Unlike netdata-instrumentation and netdata-otel-setup, this skill operates without access to the customer's codebase or running infrastructure: inputs are prose, outputs are YAML files, Markdown runbooks, and an explicit list of open questions for the account team. Covers requirements extraction, ambiguity flagging, bundle layout, and composition with netdata-otel-setup, netdata-collector-config, netdata-instrumentation, and netdata-migration.From its SKILL.md

Install
npx -y skills add netdata/skills --skill netdata-config-from-requirements

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SKILL.md

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Netdata config from requirements

This skill turns a written requirements document into a ready-to-hand-off config bundle. The target user is a Netdata SE, solutions architect, or partner engineer who receives a customer brief and must produce YAML artifacts and a runbook the customer applies on their own systems.

The other Tier 1 skills assume access to the target system. This one does not. The loop is: read prose, extract atomic requirements, compose the bundle by delegating to the sibling skills, flag every ambiguity back to the account team.

When to use this skill

  • A customer or prospect sends a requirements doc, RFP, technical brief, or architecture diagram and expects Netdata-ready configs in return.
  • Pre-sales or solution engineering work where the agent must produce otel.yaml, Collector pipelines, and per-language instrumentation guidance without touching the customer's codebase.
  • Converting a migration spec (for example "we are leaving Datadog by Q3") into a phased config plan.
  • Any request that includes phrases like "draft the config for us," "what would this look like for our stack," or "generate the YAML so our platform team can review it before we install."

Do not use this skill when the user has shell access, a git checkout, or a running Netdata to query. In those cases the sibling skills (netdata-otel-setup, netdata-collector-config, netdata-instrumentation, netdata-mcp-integration) are sharper: they can verify their own output against live state. This skill deliberately trades that verification for portability.

Key facts

  • Input is prose. The requirements document is the only source of truth. Do not invent values the document did not state. Flag every gap as an open question instead.
  • Output is a bundle. Not a chat response. Always produce a folder tree with YAML files, Markdown runbooks, and an open-questions manifest. See rules/deliverable-bundle.md.
  • Delegate, do not duplicate. The receiver-side config is owned by netdata-otel-setup. The Collector-side is owned by netdata-collector-config. The instrumentation handoff is shaped by netdata-instrumentation. Migrations use netdata-migration. This skill is a composition layer; it references the sibling rules, it does not paraphrase them. See rules/composing-skills.md.
  • Ambiguities are first-class. A requirements doc that fails to specify TLS posture, volume estimates, or the target deployment topology is the normal case, not the exception. Every missing value becomes an entry in open-questions.md in the bundle, so the account team can resolve it with the customer before the configs land on a production system.
  • Verification is the customer's job. The bundle includes a verify.md that the customer runs after applying the configs. netdata-mcp-integration is out of scope here; it presumes a live Netdata this skill cannot reach.

Step-by-step

  1. Read the requirements document end to end before writing anything. If the user pasted prose inline, read the whole paste first. If they attached a file, read the file. Do not partial-parse.
  2. Extract the requirement inventory. Follow rules/extract-requirements.md. The output is a structured list with categories for stack inventory, volume estimates, network topology, security posture, compliance constraints, deployment pattern, and acceptance criteria.
  3. Flag every ambiguity and missing value. Anything the document does not specify becomes an open question. Do not guess a default silently. rules/extract-requirements.md contains the specific categories where missing values most often hide.
  4. Decide which sibling skills to compose. The requirements determine which:
    • Always: netdata-otel-setup (every bundle ships an otel.yaml snippet, even a minimal one, so the Netdata side is explicit).
    • If the customer will run a Collector: netdata-collector-config.
    • If the customer will instrument services: netdata-instrumentation per language named in the requirements.
    • If the requirements reference a competitor (Datadog, New Relic, Dynatrace, Prometheus remote-write): netdata-migration. See rules/composing-skills.md for the decision matrix.
  5. Produce the bundle. Emit files in the layout specified by rules/deliverable-bundle.md. Each file must be valid standalone: the customer may apply them one at a time.
  6. Write the verification playbook inside the bundle. Short, copy-pasteable commands the customer runs after applying the configs. Never include credentials. Use placeholders like <NETDATA_HOST> and <BEARER_TOKEN> and explain them in the bundle's README.md.
  7. Return the bundle manifest in chat. Briefly list the files produced, flag the count of open questions, and name the highest priority blockers. Do not re-explain the content of the files.

Common mistakes

  • Paraphrasing a sibling skill's content. The sibling rules already teach the receiver config, the Collector pipeline, and the SDK wiring. Copying their prose into the bundle drifts out of sync the first time a sibling updates. Link to them instead; the bundle's README.md is the right place for cross-references.
  • Silently defaulting missing values. If the requirements do not name a TLS mode, the bundle is not "TLS off by default." It carries an open question "TLS: required? cert source? MTLS required?" and the otel.yaml line is commented out with a pointer to that question.
  • Producing the bundle as chat output. The deliverable is a folder of files the customer can hand to their platform team. Emit real files (via tool calls). Chat output is a manifest plus summary, not the configs themselves.
  • Running verification commands. This skill does not have access to the customer's systems. Verification commands live inside the bundle as a runbook the customer executes.
  • Firing this skill when the user has live access. If the user is in a shell session with their Netdata reachable, they should use the sibling skills directly; those can verify. This skill is for the written-spec-in, files-out workflow.
  • Producing a single monolithic YAML. Split by concern: receiver config, Collector pipeline, per-language handoff, verification. The customer's platform, app, and ops teams each read different files.

Verification

This skill's output is a filesystem bundle and a chat manifest. Verify locally before handing it to the account team:

  1. Structural check. Every file listed in the manifest exists. open-questions.md is non-empty unless the requirements document was uncharacteristically complete.
  2. YAML lint. Each .yaml file in the bundle passes a basic lint (for example yamllint or python -c "import yaml; yaml.safe_load(open('<file>'))").
  3. Self-contained. The customer's platform team can follow README.md inside the bundle without reading this skill. If a file references external documentation, it links with an absolute URL, not ../../rules/... paths that only make sense inside this repo.
  4. Ambiguity coverage. Every category in rules/extract-requirements.md has either a filled value in the bundle or an entry in open-questions.md. Silent defaults are a defect.

The account team then verifies the bundle with the customer before production application. Do not treat "agent produced a bundle" as "customer can install." The open-questions pass through a human before the configs hit a real cluster.

References

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