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Agent skill

Debug Issue With Datadog

by langfuse in langfuse/langfuse

Establish root cause by combining Datadog telemetry with the Langfuse repo.

Custom licenceAuto-check passedAI & LLM Engineering

Install Debug Issue With Datadog

skills CLI
$ npx skills add langfuse/langfuse --skill debug-issue-with-datadog -a claude-code

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

GitHub CLI
$ gh skill install langfuse/langfuse debug-issue-with-datadog --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/langfuse/langfuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/debug-issue-with-datadog .claude/skills/debug-issue-with-datadog && 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
debug-issue-with-datadog
GitHub stars
35k
Token cost
~1.6k tokens
SKILL.md length
757 words
Files
5 (incl. references)
Skills in repo
33
Repo updated
First seen
Licence
Custom licence

At a glance

Establish root cause by combining Datadog telemetry with the Langfuse repo.

  • Works in 7 steps: Intake. Pull every signal already… → Scope the sweep. From the intake, pick… → Run the broad Datadog sweep. Default to… → …
  • Triaging a user report
  • SKILL.md covers When to Apply, Workflow, Datadog MCP Usage Notes and Output Expectations, plus 1 more section
  • Calls gh

What it does

Debug Issue With Datadog is an agent skill from langfuse/langfuse. Establish root cause by combining Datadog telemetry with the Langfuse repo. Use when investigating or triaging a user report, Linear or GitHub issue, incident, or pasted production error.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/datadog-playbook.md`, `references/intake.md` and `references/output-template.md`).

It sits in AI & LLM Engineering, covering LLM observability and Root cause analysis. It works with Datadog, Langfuse and GitHub. The repository describes itself as: 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

When your agent uses it

  • Triaging a user report
  • Pasted production error

Example prompts

  • “/debug-issue-with-datadog”

Workflow steps

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

  1. Intake. Pull every signal already available in the report. See
  2. Scope the sweep. From the intake, pick the affected subsystem and time
  3. Run the broad Datadog sweep. Default to the full sweep in
  4. Cluster the errors. Group by (projectId, error.message) or
  5. Map clusters to code. For each cluster, open the relevant handler file
  6. Write the analysis using
  7. Deliver. Default: print the analysis in chat. If the user asked for it,

What it can do on your machine

Read from SKILL.md and the folder at commit 8b58764. 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

    Shell commands in SKILL.md call:

    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    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

Debug Issue With Datadog loads about 1.6k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 757 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

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 757 words (~1,565 tokens).

“Use this skill whenever the task is investigative rather than implementational: a user, customer, or oncall has surfaced a problem and you need to figure out what is actually happening in production and where in the code it lives. The…”

— opening of SKILL.md by langfuse, Custom licence
name
debug-issue-with-datadog

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in .agents/skills/debug-issue-with-datadog of langfuse/langfuse.

  • SKILL.md
  • references/datadog-playbook.md
  • references/intake.md
  • references/output-template.md
  • references/repo-debug-map.md

Open the folder on GitHubat commit 8b58764

Compare with similar skills

Debug Issue With Datadog 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.

Debug Issue With Datadog compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Debug Issue With Datadog this skilllangfuse/langfuse35k—~1.6kAutomated safety check: PassCustom licence
Agents Operationfazer-ai/agents118—~1.3kAutomated safety check: PassApache-2.0
Ag2 Telemetryag2ai/build-with-ag2252—~1.9kAutomated safety check: PassApache-2.0
Langfuseavivsinai/langfuse-mcp1131 repos~580Automated safety check: PassMIT
Langfuse Integration Pagelangfuse/langfuse-docs246—~3.7kAutomated safety check: PassMIT
Langfuselangfuse/skills299—~2.1kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Debug Issue With Datadog

What does Debug Issue With Datadog do?

Establish root cause by combining Datadog telemetry with the Langfuse repo. Debug Issue With Datadog is an agent skill from langfuse/langfuse. Establish root cause by combining Datadog telemetry with the Langfuse repo.

When should I use Debug Issue With Datadog?

Debug Issue With Datadog fits situations like: triaging a user report; pasted production error.

How do I install Debug Issue With Datadog in Claude Code?

Run `npx skills add langfuse/langfuse --skill debug-issue-with-datadog -a claude-code`. Or copy the skill folder (.agents/skills/debug-issue-with-datadog in langfuse/langfuse) into .claude/skills/debug-issue-with-datadog in your project. Claude Code loads it when a task matches its description.

How do I install Debug Issue With Datadog in Codex?

Run `npx skills add langfuse/langfuse --skill debug-issue-with-datadog -a codex`. Or copy the skill folder (.agents/skills/debug-issue-with-datadog in langfuse/langfuse) into .agents/skills/debug-issue-with-datadog in your project. Codex loads it when a task matches its description.

Can I use Debug Issue With Datadog 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 langfuse/langfuse --skill debug-issue-with-datadog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/debug-issue-with-datadog, .gemini/skills/debug-issue-with-datadog, .github/skills/debug-issue-with-datadog and .opencode/skills/debug-issue-with-datadog in your project.

What does Debug Issue With Datadog need to run?

Going by SKILL.md and its folder, Debug Issue With Datadog needs the command-line tools its instructions call (gh).

Does Debug Issue With Datadog access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Debug Issue With Datadog 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 Debug Issue With Datadog use?

Debug Issue With Datadog 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 Debug Issue With Datadog use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 5.3k tokens, read only when the agent opens those files.

What are the alternatives to Debug Issue With Datadog?

Skills that share tags, products or a category with Debug Issue With Datadog: Agents Operation (fazer-ai/agents, 118 stars), Ag2 Telemetry (ag2ai/build-with-ag2, 252 stars), Langfuse (avivsinai/langfuse-mcp, 113 stars) and Langfuse Integration Page (langfuse/langfuse-docs, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Debug Issue With Datadog?

langfuse (a GitHub organization) maintains it in langfuse/langfuse, which has 35,460 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 7, 2026.

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