Official agent skill

Serverless Integrations

by DataDog in DataDog/dd-trace-js

A skill your agent uses when adding, modifying, debugging, or reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda, Azure Functions, Google Cloud…

OfficialCustom licenceAuto-check passedBackend & APIs

Install Serverless Integrations

skills CLI
$ npx skills add DataDog/dd-trace-js --skill serverless-integrations -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DataDog/dd-trace-js serverless-integrations --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DataDog/dd-trace-js.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/serverless-integrations .claude/skills/serverless-integrations && rm -rf skills-src

Use ~/.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/

Facts

Skill name
serverless-integrations
GitHub stars
836
Token cost
~1.1k tokens
SKILL.md length
467 words
Files
5 (incl. references)
Skills in repo
7
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when adding, modifying, debugging, or reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda, Azure Functions, Google Cloud…

  • Works in 4 steps: Read references/architecture.md to… → Read… → For implementation work, follow… → …
  • Reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda
  • SKILL.md covers Decision Gate, Core Invariants, Workflow and Implementation Checklist, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Serverless Integrations is an agent skill from DataDog/dd-trace-js, published by the product's own GitHub organization. Use when adding, modifying, debugging, or reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda, Azure Functions, Google Cloud Functions, or similar runtimes. Triggers: serverless integration, function invocation root span, Lambda runtime, Azure Functions, GCP Functions, type = 'serverless', DDLAMBDAHANDLER, datadog-lambda-js, deployed serverless verification, manual serverless test.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/architecture.md`, `references/implementation-guide.md` and `references/reference-integrations.md`).

It sits in Backend & APIs, covering Serverless. It works with Google Cloud, Datadog, Azure Functions and AWS Lambda. The repository describes itself as: Datadog APM client for Node.js.

When your agent uses it

  • Reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda
  • Azure Functions
  • Google Cloud Functions
  • Similar runtimes

Example prompts

  • “serverless”
  • “/serverless-integrations”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read references/architecture.md to confirm whether the work is serverless-root or ordinary APM.
  2. Read references/reference-integrations.md and inspect at least one matching in-repo implementation.
  3. For implementation work, follow references/implementation-guide.md.
  4. For tests and deployed verification, follow references/testing-guide.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 8002f70. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Serverless Integrations loads about 1.1k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated 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.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 467 words (~1,089 tokens).

“Use this skill for platform-boundary instrumentation where dd-trace-js owns the function invocation lifecycle. Use apm-integrations instead for ordinary library instrumentation that runs inside a serverless function.”

— opening of SKILL.md by DataDog, Custom licence
name
serverless-integrations

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in .agents/skills/serverless-integrations of DataDog/dd-trace-js.

  • SKILL.md
  • references/architecture.md
  • references/implementation-guide.md
  • references/reference-integrations.md
  • references/testing-guide.md

Open the folder on GitHubat commit 8002f70

Compare with similar skills

Serverless Integrations 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.

Serverless Integrations compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Serverless Integrations this skillDataDog/dd-trace-js836—~1.1kAutomated safety check: PassCustom licence
Securing Serverless Functionsmukul975/Anthropic-Cybersecurity-Skills34k—~3.1kAutomated safety check: PassApache-2.0
Performing Serverless Function Security Reviewmukul975/Anthropic-Cybersecurity-Skills34k—~3.1kAutomated safety check: PassApache-2.0
Polylith Base CreationDavidVujic/python-polylith553—~757Automated safety check: PassMIT
Polylith Project ManagementDavidVujic/python-polylith553—~1.5kAutomated safety check: PassMIT
AWS Serverless Edazxkane/aws-skills3674 repos~3.2kAutomated safety check: PassMIT

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  • Polylith Project Management

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  • AWS Serverless Eda

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  • Apm Integrations

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  • Llmobs Testing

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  • Architecture Review

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    A skill your agent uses when a dd-trace-js change introduces or substantially changes a class hierarchy, module boundary, shared helper layer, public API, or duplicated behavior across multiple types.

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  • Flaky Test Fixer

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  • Test Optimization Testing

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Categories

Questions about Serverless Integrations

What does Serverless Integrations do?

A skill your agent uses when adding, modifying, debugging, or reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda, Azure Functions, Google Cloud…. Serverless Integrations is an agent skill from DataDog/dd-trace-js, published by the product's own GitHub organization. Use when adding, modifying, debugging, or reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda, Azure Functions, Google Cloud Functions, or similar runtimes.

When should I use Serverless Integrations?

Serverless Integrations fits situations like: reviewing dd-trace-js serverless platform integrations that create root invocation spans for AWS Lambda; azure Functions; google Cloud Functions; similar runtimes.

How do I install Serverless Integrations in Claude Code?

Run `npx skills add DataDog/dd-trace-js --skill serverless-integrations -a claude-code`. Or copy the skill folder (.agents/skills/serverless-integrations in DataDog/dd-trace-js) into .claude/skills/serverless-integrations in your project. Claude Code loads it when a task matches its description.

How do I install Serverless Integrations in Codex?

Run `npx skills add DataDog/dd-trace-js --skill serverless-integrations -a codex`. Or copy the skill folder (.agents/skills/serverless-integrations in DataDog/dd-trace-js) into .agents/skills/serverless-integrations in your project. Codex loads it when a task matches its description.

Can I use Serverless Integrations in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DataDog/dd-trace-js --skill serverless-integrations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serverless-integrations, .gemini/skills/serverless-integrations, .github/skills/serverless-integrations and .opencode/skills/serverless-integrations in your project.

What does Serverless Integrations need to run?

SKILL.md names no scripts, command-line tools or credentials: Serverless Integrations is instructions for the agent only.

Does Serverless Integrations access the network?

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.

Is Serverless Integrations safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Serverless Integrations use?

Serverless Integrations has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Serverless Integrations use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Serverless Integrations?

Skills that share tags, products or a category with Serverless Integrations: Securing Serverless Functions (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Performing Serverless Function Security Review (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Polylith Base Creation (DavidVujic/python-polylith, 553 stars) and Polylith Project Management (DavidVujic/python-polylith, 553 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serverless Integrations?

DataDog (a GitHub organization, an official publisher) maintains it in DataDog/dd-trace-js, which has 836 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.

Source: DataDog/dd-trace-js on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.