locate-config-setting

SkillAI & models

This skill lets your AI trace any Datadog Agent config setting or section back to where it is defined in the YAML schemas. Ask for a setting by name and your AI returns the file, line number, and full schema definition, so you do not have to search the repository yourself. It works by running the schema locate lookup from the Datadog Agent repository.

Available today. Use it from your connected AI after setup.

After adding the skill, tell your AI which Agent config setting or section you want to trace. It will run the dda inv schema.locate lookup and return the file, line, and full definition.

Then ask your AI: use the locate-config-setting skill

What your AI can do with it

  • Find where a specific Datadog Agent config setting is defined in the YAML schemas
  • Locate the definition for an entire config section, not just a single setting
  • Show the file and line number where a setting is defined
  • Print the full schema definition for a setting or section
  • Print the schema node for any Agent config setting or section

What this skill tells your AI

The instructions your AI receives, as published by datadog/datadog-agent in .agents/skills/locate-config-setting/SKILL.md and read by ahel’s review.

Locate a Datadog Agent configuration setting or section in the schema source and print its definition plus the exact file and line where it lives.

Use this whenever you need to answer "where/how is config key X defined?" — its type, default, env vars, description, or which schema file to edit. It is much faster and more reliable than grepping the ~20k lines of schema YAML by hand, because the schema is split across files (core_schema.yaml plus per-section sub-files referenced via $ref), so a naive grep often points at the wrong file.

Command

dda inv -- schema.locate <setting.path>

<setting.path> is the dotted logical path exactly as a user writes it in datadog.yaml / system-probe.yaml — e.g. api_key, proxy.https, apm_config.enabled. (Use -- so invoke treats the path as a positional arg.)

It can also be a pattern: any argument containing a character outside [A-Za-z0-9_.] (e.g. *, $, [) is matched against every full dotted path in the schema instead of looked up exactly. The pattern is treated as a regular expression (re.search); if it isn't valid regex it falls back to shell-style glob (fnmatch). So '*enabled' lists every setting whose path ends with enabled. Pattern matches are printed as a compact, sorted [<schema>] <path> -> <file>:<line> list (one line per match) rather than full node blocks; pass --json for the full {schema, path, file, line, node} array.

Flags

FlagEffect
--target core / --target system-probeRestrict to one schema (default: search both).
--jsonEmit a JSON array of {schema, path, file, line, node} instead of human text. Use this when you want to parse the result programmatically.

What it prints

  • Setting (leaf): the full schema node — node_type, type, default, env_vars, visibility, description, tags.
  • Section: the section's own metadata, with properties collapsed to the sorted list of immediate child key names (so a big section like apm_config doesn't dump thousands of lines). Drill into a child to see its full node.
  • A clickable location header per match: [<schema>] <file>:<line>.
  • If a key exists in both schemas (e.g. log_level), it prints one block per schema, labeled [core] and [system-probe].

Location semantics (important)

  • A top-level split section (e.g. apm_config, logs_config) is reported at its $ref: line in pkg/config/schema/yaml/core_schema.yaml — that's where it's wired in.
  • A setting inside a split section (e.g. apm_config.enabled) is reported in the sub-file (pkg/config/schema/yaml/apm_config.yaml:<line>) — that's where its real definition is, and the file you'd edit.
  • A setting/section that lives inline in the top file (e.g. api_key, proxy.https) is reported directly in core_schema.yaml.

Behavior notes

  • Reads the YAML source under pkg/config/schema/yaml/ — no build step or agent binary needed; works straight from a checkout. Line numbers are real.
  • Only traverses named settings and sections (properties). Array items and patternProperties internals are out of scope.
  • Not found → prints an error and exits non-zero (no fuzzy suggestions).

Examples

# Top-level setting → core_schema.yaml + full node
dda inv -- schema.locate api_key

# Setting inside a split section → resolves into the sub-file
dda inv -- schema.locate apm_config.enabled

# Bare split section → $ref site in core_schema.yaml, child names only
dda inv -- schema.locate apm_config

# Restrict to one schema and get machine-readable output
dda inv -- schema.locate process_config.enabled --target core --json

# Pattern (glob): every setting whose full path ends with 'enabled'
dda inv -- schema.locate '*enabled'

# Pattern (regex): every path containing 'proxy' (a bare word like 'proxy' is an
# exact lookup, so add metacharacters to force a pattern/contains-match)
dda inv -- schema.locate '.*proxy'

Related

  • The task lives in tasks/schema/locate.py (registered in tasks/schema/__init__.py).
  • Schema source: pkg/config/schema/yaml/.
  • To add a new config field (not just locate one), use the create-config-field skill.

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
locate-config-setting
Source
github.com/datadog/datadog-agent