Ag2 Telemetry
ag2ai/build-with-ag2
Add OpenTelemetry traces to an AG2 beta Agent via TelemetryMiddleware (autogen.beta.middleware.builtin).
Research Langfuse production telemetry with reusable Datadog queries.
Install Datadog Query Recipes
$ npx skills add langfuse/langfuse --skill datadog-query-recipes -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langfuse/langfuse datadog-query-recipes --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/langfuse/langfuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .claude/skills/datadog-query-recipes && 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 "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .claude/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipesType 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 langfuse/langfuse --skill datadog-query-recipes -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langfuse/langfuse datadog-query-recipes --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .agents/skills/datadog-query-recipes && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .agents/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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 langfuse/langfuse --skill datadog-query-recipes -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langfuse/langfuse datadog-query-recipes --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .cursor/skills/datadog-query-recipes && 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 "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .cursor/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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/langfuse/langfuse.git --path .agents/skills/datadog-query-recipes--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 langfuse/langfuse --skill datadog-query-recipes -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langfuse/langfuse datadog-query-recipes --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .gemini/skills/datadog-query-recipes && 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 "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .gemini/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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 langfuse/langfuse datadog-query-recipesInstalls 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 langfuse/langfuse --skill datadog-query-recipes -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .github/skills/datadog-query-recipes && 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 "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .github/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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 langfuse/langfuse --skill datadog-query-recipes -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langfuse/langfuse datadog-query-recipes --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/datadog-query-recipes .opencode/skills/datadog-query-recipes && 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 "datadog-query-recipes" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/datadog-query-recipes into .opencode/skills/datadog-query-recipes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog-query-recipes", 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.
Facts
- Skill name
datadog-query-recipes- GitHub stars
- 36k
- Token cost
- ~824 tokens
- SKILL.md length
- 360 words
- Files
- 6 (incl. references)
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Research Langfuse production telemetry with reusable Datadog queries.
- Works in 6 steps: Identify the entity and signal: tenant… → Read only the relevant reference → Start with aggregate queries, grouped by… → …
- Project activity
- SKILL.md covers Required Scope, Workflow, When To Use Other Skills and Output Expectations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Datadog Query Recipes is an agent skill from langfuse/langfuse. Research Langfuse production telemetry with reusable Datadog queries. Use for tenant or project activity, API usage, queue behavior, spans, logs, metrics, or ad hoc measurements across production regions; pair with debug-issue-with-datadog for root-cause analysis.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/environments.md` and `references/export-staleness.md`).
It sits in AI & LLM Engineering, covering LLM observability and Root cause analysis. It works with Datadog and Langfuse. 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
- Project activity
- Ad hoc measurements across production regions
- Pair with debug-issue-with-datadog for root-cause analysis
Example prompts
- “/datadog-query-recipes”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Identify the entity and signal: tenant ID, org ID, project ID, route, queue,
- Read only the relevant reference
- Start with aggregate queries, grouped by environment, service, route,
- Fetch raw spans, logs, or traces only after aggregation identifies the
- For tenant-specific HTTP usage, prefer trace correlation over single-span
- Report the windows, environments, sites, query links, and any sampling or
What it can do on your machine
Read from SKILL.md and the folder at commit 389f393. 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
Datadog Query Recipes loads about 824 tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 360 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.
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 360 words (~824 tokens).
“Use this skill for Langfuse production telemetry research where the main work is finding the right Datadog data path. Keep findings evidence-based and include the exact Datadog links or query shapes that support the answer.”
- name
- datadog-query-recipes
Files
SKILL.md and 5 other files (references) in .agents/skills/datadog-query-recipes of langfuse/langfuse.
- SKILL.md
- agents/openai.yaml
- references/environments.md
- references/export-staleness.md
- references/public-api-tenant-usage.md
- references/queue-consumers.md
Open the folder on GitHubat commit 389f393
Compare with similar skills
Datadog Query Recipes 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 |
|---|---|---|---|---|---|---|
| Datadog Query Recipes this skilllangfuse/langfuse | 36k | — | ~824 | Automated safety check: Pass | Custom licence | |
| Ag2 Telemetryag2ai/build-with-ag2 | 252 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Langfuse Local Dev Loopjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.9k | Automated safety check: Notes | MIT | |
| Phx Investigateoliver-kriska/claude-elixir-phoenix | 565 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Phx Investigateoliver-kriska/claude-elixir-phoenix | 565 | — | ~1k | Automated safety check: Pass | MIT | |
| Phx Investigateoliver-kriska/claude-elixir-phoenix | 565 | — | ~1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Datadog Query Recipes
What does Datadog Query Recipes do?
Research Langfuse production telemetry with reusable Datadog queries. Datadog Query Recipes is an agent skill from langfuse/langfuse. Research Langfuse production telemetry with reusable Datadog queries.
When should I use Datadog Query Recipes?
Datadog Query Recipes fits situations like: project activity; ad hoc measurements across production regions; pair with debug-issue-with-datadog for root-cause analysis.
How do I install Datadog Query Recipes in Claude Code?
Run `npx skills add langfuse/langfuse --skill datadog-query-recipes -a claude-code`. Or copy the skill folder (.agents/skills/datadog-query-recipes in langfuse/langfuse) into .claude/skills/datadog-query-recipes in your project. Claude Code loads it when a task matches its description.
How do I install Datadog Query Recipes in Codex?
Run `npx skills add langfuse/langfuse --skill datadog-query-recipes -a codex`. Or copy the skill folder (.agents/skills/datadog-query-recipes in langfuse/langfuse) into .agents/skills/datadog-query-recipes in your project. Codex loads it when a task matches its description.
Can I use Datadog Query Recipes 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 datadog-query-recipes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datadog-query-recipes, .gemini/skills/datadog-query-recipes, .github/skills/datadog-query-recipes and .opencode/skills/datadog-query-recipes in your project.
What does Datadog Query Recipes need to run?
SKILL.md names no scripts, command-line tools or credentials: Datadog Query Recipes is instructions for the agent only.
Does Datadog Query Recipes 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 Datadog Query Recipes 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 Datadog Query Recipes use?
Datadog Query Recipes 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 Datadog Query Recipes use?
About 824 tokens (SKILL.md is roughly 3.3k 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 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Datadog Query Recipes?
Skills that share tags, products or a category with Datadog Query Recipes: Ag2 Telemetry (ag2ai/build-with-ag2, 252 stars), Langfuse Local Dev Loop (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Phx Investigate (oliver-kriska/claude-elixir-phoenix, 565 stars) and Phx Investigate (oliver-kriska/claude-elixir-phoenix, 565 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Datadog Query Recipes?
langfuse (a GitHub organization) maintains it in langfuse/langfuse, which has 35,555 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 9, 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.