Apm Integrations
DataDog/dd-trace-js
A skill your agent uses when adding, debugging, fixing, or modifying instrumentation and plugins for third-party libraries in dd-trace-js.
Add a new configuration field to the Datadog Agent (datadog.yaml) by declaring it in the config schema
$ npx skills add DataDog/datadog-agent --skill create-config-field -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent create-config-field --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-config-field .claude/skills/create-config-field && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .claude/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-fieldType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DataDog/datadog-agent --skill create-config-field -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent create-config-field --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-config-field .agents/skills/create-config-field && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .agents/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DataDog/datadog-agent --skill create-config-field -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent create-config-field --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-config-field .cursor/skills/create-config-field && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .cursor/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DataDog/datadog-agent.git --path .agents/skills/create-config-field--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DataDog/datadog-agent --skill create-config-field -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent create-config-field --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-config-field .gemini/skills/create-config-field && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .gemini/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DataDog/datadog-agent create-config-fieldInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DataDog/datadog-agent --skill create-config-field -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-config-field .github/skills/create-config-field && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .github/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DataDog/datadog-agent --skill create-config-field -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DataDog/datadog-agent create-config-field --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-config-field .opencode/skills/create-config-field && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "create-config-field" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-config-field into .opencode/skills/create-config-field/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-config-field", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
create-config-fieldAdd a new configuration field to the Datadog Agent (datadog.yaml) by declaring it in the config schema
Create Config Field is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Add a new configuration field to the Datadog Agent (datadog.yaml) by declaring it in the config schema
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. It works with Datadog. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 20eff25. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGlobGrepAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, yaml and go).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Create Config Field loads about 2.3k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 993 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestionAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from DataDog/datadog-agent at commit 20eff25, republished under its Apache-2.0 licence (© DataDog). 993 words, ~2,303 tokens.
.claude/skills/create-config-field/SKILL.md (or your agent's skills folder).Add a new configuration setting to a Datadog Agent config file by declaring it in the configuration schema.
The schema is the single source of truth for every Agent setting: its type,
default, documentation, environment variables, validation rules and visibility
all live in one YAML node. Do not add BindEnvAndSetDefault calls by hand —
the pkg/config/setup/*_settings.go files are generated from the schema, and so
are datadog.yaml.example / system-probe.yaml.example, the JSON Schema
published to SchemaStore, and the runtime config validation.
Consult these references only when the instructions below do not provide enough detail for the current task:
One schema per config file, all under pkg/config/schema/yaml/:
| Config file | Schema | --schema value |
|---|---|---|
datadog.yaml | pkg/config/schema/yaml/core_schema.yaml | core (default) |
system-probe.yaml | pkg/config/schema/yaml/system-probe_schema.yaml | system-probe |
Large top-level sections are split into sibling files referenced via $ref,
so the node for apm_config.enabled lives in apm_config.yaml, not in
core_schema.yaml.
Never grep for the file by hand — dda inv -- schema.locate resolves the $ref
for you (see Step 2).
Use AskUserQuestion to collect the following. If $ARGUMENTS provides the
setting path, skip that question.
datadog.yaml (core) or system-probe.yaml?my_feature.enabled).boolean, string, number, integer, array, or object. For array, also the element type
(items.type is mandatory).default, or per-platform platform_default.public (appears in the generated *.yaml.example and public docs) or undocumented (the default —
internal, no keyword emitted).public, strongly encouraged otherwise. Written for users, not Agent developers.
This should explain what the settings does and how to use it.dda inv -- schema.locate my_feature.enabled # exact path
dda inv -- schema.locate '.*my_feature' # pattern (regex/glob)This also tells you which file to edit. See the locate-config-setting skill for
the full flag set.
Preferred — the interactive wizard, which routes split sections to the right sub-file, preserves the file's hand-curated ordering, makes ancestor sections public when needed, and lints at the end:
dda inv schema.add-setting # core schema
dda inv schema.add-setting --schema=system-probe # system-probe schemaThe wizard is interactive (it reads from stdin), so when you cannot drive a TTY, edit the YAML directly instead. Read a neighbouring node first and match its style:
my_feature:
node_type: section
type: object
visibility: public
description: Configuration for my feature.
properties:
enabled:
node_type: setting
type: boolean
default: false
description: Enables my feature.
visibility: publicRules that the linter enforces:
node_type: section or node_type: setting.type and exactly one of default / platform_default.platform_default must cover every platform — list linux, windows,
darwin, aix explicitly, or add an other catch-all. container /
fargate are optional and fall back to linux then other.array setting must declare items.type.public node needs a non-empty description, and every ancestor section
must also be public with a description — its own description, gathered in
Step 1, not a copy of the child setting's.node_type: setting — not section — when the value is an object
(e.g. docker_labels_as_tags: type: object, default: {}). A section is only
for grouping child settings.Placement matters: the generated config examples follow schema order, so insert the node where it belongs logically, not at the end of the file.
dda inv schema.lintIf the change requires generated Go code or a configuration-example preview, consult the relevant workflow for regenerating Go code or generating configuration examples.
Full up-to-date details in doc/reference/agent-schema/keywords.md.
| Keyword | Where | Notes |
|---|---|---|
node_type | all | section or setting. Mandatory. |
type | setting | boolean, number, integer, string, array, object. |
default | setting | Must match type. Mutually exclusive with platform_default. |
platform_default | setting | Keys: linux, windows, darwin, aix, container, fargate, other. |
description | all | Mandatory when public. Use the | block scalar for multi-line. |
visibility | all | public or undocumented (default). |
env_vars | setting | Overrides the derived DD_* name; first match wins. |
env_parser | setting | comma_separated, space_separated, json. Needed for complex types. |
sensitive | setting | Scrubs the value from logs, flare and Fleet Automation. |
items | setting | Mandatory for array. |
properties | section / object setting | Child settings on a section; value sub-schema on an object setting. |
title | section | Banner heading in the generated example. |
comment | all | Developer-only note; never rendered to users. |
example | setting | Overrides the value shown on the rendered example line. |
tags | all | See below. |
Relative defaults: use ${conf_path}, ${install_path}, ${log_path},
${run_path} with / separators rather than hardcoding per-OS paths — e.g.
default: "${conf_path}/conf.d". Valid in default and platform_default.
Three are usable for new settings:
template_section:<name> — selects which config-example flavors include the
setting. Omit it and the setting renders in every build type.platform_only:<os>[,<os>] — restricts the setting to the listed OSes
(windows, linux, darwin); it is dropped from the examples generated for
any other --os-target.generate_const:<Name> — emits a Go constant <Name> in pkg/config/setup
holding this setting's default. Use it instead of hardcoding a default (port,
timeout, path) in Go code, so the two can never drift.golang_type:*, no-env and the legacy env_parser values
(comma_and_space_separated, traces_span, csv_comma_separated,
comma_then_space_separated, json_list_or_*) exist only to support existing
settings — do not use them for new ones.
pkgconfigsetup.Datadog().GetBool("my_feature.enabled")
pkgconfigsetup.SystemProbe().GetInt("system_probe_config.max_conns")In components, prefer the injected config.Component over the global accessor.
locate-config-setting — find where an existing setting is defined.create-release-note — a user-visible new setting needs a reno note./create-config-field — interactive: prompts for all details/create-config-field my_feature.enabled — pre-fills the setting path© DataDog, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/create-config-field of DataDog/datadog-agent.
Open the folder on GitHubat commit 20eff25
Create Config Field next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Create Config Field this skillDataDog/datadog-agent | 3.8k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Apm IntegrationsDataDog/dd-trace-js | 836 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Dd IdpDataDog/pup | 1k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Datadog Data Source GeneratorDataDog/terraform-provider-datadog | 468 | — | ~2.7k | Automated safety check: Pass | MPL-2.0 | |
| Apm IntegrationsDataDog/dd-trace-java | 736 | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | |
| Tool ConnectorZhixiangLuo/10xProductivity | 478 | — | ~925 | Automated safety check: Pass | MIT |
DataDog/dd-trace-js
A skill your agent uses when adding, debugging, fixing, or modifying instrumentation and plugins for third-party libraries in dd-trace-js.
DataDog/pup
Find, filter, count, and connect software, teams, engineering work and delivery, infrastructure, and operational or security records through Pup's read-only Datadog entity graph.
DataDog/terraform-provider-datadog
Generates a Datadog Terraform provider data source from an OpenAPI operation with tfgen and opens a review-ready GitHub PR with a risk scan and testing guide.
DataDog/dd-trace-java
Write a new library instrumentation end-to-end. An agent skill from DataDog/dd-trace-java.
ZhixiangLuo/10xProductivity
Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR systems, and commercial…
redis/agent-skills
Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO…
DataDog/datadog-agent
Classify a failed CI as either caused by an active incident, flakiness, or a true code regression.
DataDog/datadog-agent
Run a structured discovery session to build an Allium specification through conversation.
DataDog/datadog-agent
Monitor the current PR's GitLab pipeline to completion, then report success, auto-fix, or investigate a failure.
DataDog/datadog-agent
A skill your agent uses when an engineer or manager asks to recap, summarize, or post an update on a Jira Epic — a progress update for an in-progress Epic (how far along it is, what's shipped so…
DataDog/datadog-agent
Explains a lading.yaml config file from the regression test suite, using the lading Rust source as ground truth for field meanings and defaults.
DataDog/datadog-agent
Extract an Allium specification from an existing codebase. An agent skill from DataDog/datadog-agent.
Works with
Categories
Add a new configuration field to the Datadog Agent (datadog.yaml) by declaring it in the config schema. Create Config Field is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization.
Create Config Field fits situations like: devOps & Cloud work in your project.
Run `npx skills add DataDog/datadog-agent --skill create-config-field -a claude-code`. Or copy the skill folder (.agents/skills/create-config-field in DataDog/datadog-agent) into .claude/skills/create-config-field in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill create-config-field -a codex`. Or copy the skill folder (.agents/skills/create-config-field in DataDog/datadog-agent) into .agents/skills/create-config-field in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DataDog/datadog-agent --skill create-config-field -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-config-field, .gemini/skills/create-config-field, .github/skills/create-config-field and .opencode/skills/create-config-field in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Config Field is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Create Config Field is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Create Config Field: Apm Integrations (DataDog/dd-trace-js, 836 stars), Dd Idp (DataDog/pup, 1k stars), Datadog Data Source Generator (DataDog/terraform-provider-datadog, 468 stars) and Apm Integrations (DataDog/dd-trace-java, 736 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/datadog-agent, which has 3,757 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/datadog-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.