Datadog Data Source Generator
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.
Create a pull request for the current branch with proper labels and description.
$ npx skills add DataDog/datadog-agent --skill create-pr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent create-pr --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-pr .claude/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .claude/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-prType 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-pr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent create-pr --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-pr .agents/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .agents/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-pr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent create-pr --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-pr .cursor/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .cursor/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-pr--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-pr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent create-pr --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-pr .gemini/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .gemini/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-prInstalls 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-pr -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-pr .github/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .github/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-pr -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-pr --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-pr .opencode/skills/create-pr && 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-pr" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-pr into .opencode/skills/create-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-pr", 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-prCreate a pull request for the current branch with proper labels and description.
Create PR is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Create a pull request for the current branch with proper labels and description. Any agent opening a PR in this repo (via gh pr create or otherwise), whether invoked directly as /create-pr or as part of a larger task, MUST follow this skill's process rather than improvising.
Its SKILL.md is about 2.6k 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 Development, covering Pull requests. It works with Datadog and Git. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a706f1a. 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:
BashReadGlobFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghcodexFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
conventionalcommits.orgFrom 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 PR loads about 2.6k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 1,442 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, GlobAutomated 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 a706f1a, republished under its Apache-2.0 licence (© DataDog). 1,442 words, ~2,640 tokens.
.claude/skills/create-pr/SKILL.md (or your agent's skills folder).Create a pull request for the current branch following the Datadog Agent contributing guidelines.
This is the canonical process for opening PRs in this repo. disable-model-invocation: true only means the harness won't auto-invoke this skill as a tool call — it does not mean the process below is optional. Whenever you (or another agent/skill working in this repo) are about to run gh pr create for any reason — not just when the user explicitly types /create-pr — read and follow the steps below instead of assembling a title/body/labels ad hoc.
Ownership: maintained by @DataDog/agent-devx.
Prerequisites: the gh CLI must be installed and authenticated (gh auth status) with access to DataDog/datadog-agent, and origin must point at that repo (or a fork with push access) so git push and gh pr create succeed.
main (or the default branch):git status). If there are changes, create a new feature branch from the default branch (git checkout -b <branch-name>), stage the changes, commit, and push.gh pr list --head <branch> --state open), check whether the uncommitted/staged changes and unpushed commits are actually related to that PR's existing work. If they are a distinct, unrelated change, don't pile them onto the existing PR/branch — create a new feature branch from the default branch (git checkout main && git pull && git checkout -b <branch-name>), then cherry-pick/move the relevant changes onto it, commit, and push, so the unrelated change gets its own PR. If genuinely unsure whether the changes are related, ask the user.main using git log main..HEADgit diff main..HEAD to understand all changes.github/PULL_REQUEST_TEMPLATE.mdcodex is installed (command -v codex). If it is, run a review against the default branch:DEFAULT_BRANCH=$(git rev-parse --abbrev-ref origin/HEAD | sed 's|^origin/||')
codex review --base "$DEFAULT_BRANCH"codex review is an LLM-based review and can take several minutes — do not bound it with a short Bash timeout, and do not let it get killed mid-run. Run it with run_in_background: true and wait for completion (or pass a generous timeout, e.g. the Bash tool max of 600000ms). If it's still running when you check back, keep waiting rather than treating it as done or skipping it, up to that 10-minute ceiling — if it still hasn't finished by then, note that to the user and proceed without it rather than stalling PR creation indefinitely. Show the review output to the user. If codex is not installed, skip this step silently.fix(e2e): Fix flaky diagnose testfeat(logs): Add new log pipelinerefactor(config): Simplify endpoint resolutionbackport/<branch> label(s) if applicable.changelog/no-changelog and qa/no-code-changeqa/donebackport/<branch-name> labels identified in step 8, or if the user explicitly asks for a specific backportgh pr create --draft. If $ARGUMENTS contains --real, open as a regular (non-draft) PR instead (omit the --draft flag). Remove --real from $ARGUMENTS before processing remaining arguments as labels./follow-pr skill.The PR description should incorporate everything reviewers and future maintainers need:
Avoid AI slop. Reviewers can tell when a PR description was auto-generated from a diff — padded, generic, restating the code instead of explaining intent. To avoid this:
Before finalizing labels, determine whether this change likely needs to be backported to a release branch:
gh label list --search backport/7 --limit 5. We can limit to 5 as there should not be more than 2 active releases. Equivalently: gh api repos/{owner}/{repo}/labels --paginate --jq '.[] | select(.name | startswith("backport/7")) | .name + " | " + (.description // "")'. Only labels whose description mentions automatic backport-PR creation (e.g. "Automatically create a backport PR to ... once the PR is merged") correspond to active release branches — the repo keeps many old <version>.x branches around that are no longer maintained, so branch existence alone (git ls-remote --heads origin) is not a reliable signal.release.json's base_branch / current_milestone to see what's currently in development on main. A change merged to main is typically only backported if the same fix is needed in a still-supported release (e.g. a bug also present in the currently-shipping minor version).backport/<version>.x label(s) to the user for confirmation before adding them — don't silently add backport labels.gh pr create --draft \
--title "fix(e2e): Fix flaky diagnose test by adding missing fakeintake redirect" \
--label "changelog/no-changelog" \
--label "qa/no-code-change" \
--body "$(cat <<'EOF'
### What does this PR do?
The diagnose E2E test flaked because it hit fakeintake directly instead of
through the redirect the agent config sets up. Route it through the same
path the agent uses.
### Motivation
Flaked ~1 in 5 runs on main, blocking merges for unrelated PRs.
### Describe how you validated your changes
Ran the test 20x locally with the fix; no failures (previously failed ~4/20).
EOF
)"Note there is no "Additional Notes" section here — it was omitted because there was nothing beyond the two sections above worth adding, per the "no filler" guidance.
/create-pr — creates a draft PR (default)/create-pr --real — creates a non-draft PR/create-pr --real team/my-team — non-draft PR with an extra labelIf you are not following the PR status (step 13): Return the PR URL when done.
Otherwise, defer to /follow-pr.
© 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-pr of DataDog/datadog-agent.
Open the folder on GitHubat commit a706f1a
Create PR 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 PR this skillDataDog/datadog-agent | 3.8k | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Datadog Data Source GeneratorDataDog/terraform-provider-datadog | 468 | — | ~2.7k | Automated safety check: Pass | MPL-2.0 | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Contributor-First PR MergeHKUDS/OpenHarness | 16k | 1 repos | ~847 | Automated safety check: Pass | MIT | |
| Open Code Review CLIalibaba/open-code-review | 45k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
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.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
alibaba/open-code-review
Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.
cline/cline
Opens a GitHub pull request from your current branch with the gh CLI, after reviewing the commits and diff and gathering the details the PR needs.
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.
Categories
Create a pull request for the current branch with proper labels and description. Create PR is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Create a pull request for the current branch with proper labels and description.
Create PR fits situations like: tasks that involve Pull requests.
Run `npx skills add DataDog/datadog-agent --skill create-pr -a claude-code`. Or copy the skill folder (.agents/skills/create-pr in DataDog/datadog-agent) into .claude/skills/create-pr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill create-pr -a codex`. Or copy the skill folder (.agents/skills/create-pr in DataDog/datadog-agent) into .agents/skills/create-pr 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-pr -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-pr, .gemini/skills/create-pr, .github/skills/create-pr and .opencode/skills/create-pr in your project.
Going by SKILL.md and its folder, Create PR needs the command-line tools its instructions call (git, gh and codex). Its frontmatter pre-approves these tools: Bash, Read, Glob.
SKILL.md names 1 domain. As links in the text: conventionalcommits.org. 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 PR 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 2.6k tokens (SKILL.md is roughly 11k 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 PR: Datadog Data Source Generator (DataDog/terraform-provider-datadog, 468 stars), Finishing a Development Branch (obra/superpowers, 297k stars), Code Design Rationale Investigator (cursor/plugins, 10k stars) and Contributor-First PR Merge (HKUDS/OpenHarness, 16k 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 3,759 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 9, 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.