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langfuse

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needi

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Price unconfirmed★ 269 GitHub starsRegistry updated · Oct 9, 2026agent-skill

Overview

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do any AI engineering task (AI observability, prompt engineering/management, evaluation and evaluator management, experimentation, dataset management, evaluation-driven CI/CD, feedback collection). Invoke it for tasks in this scope even when Langfuse is not configured or explicitly mentioned.

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Langfuse

This skill helps you use Langfuse effectively across all common workflows: instrumenting applications, migrating prompts, debugging traces, and accessing data programmatically.

Core Principles

Follow these principles for ALL Langfuse work:

Documentation First: NEVER implement based on memory. Always fetch current docs before writing code (Langfuse updates frequently) See the section below on how to access documentation.
CLI for Data Access: Use langfuse-cli when querying/modifying Langfuse data. See the section below on how to use the CLI.
Best Practices by Use Case: Read the relevant reference below use-case-specific guidelines before asking the user for more details or implementing.
Use latest Langfuse versions: Unless the user specified otherwise or there's a good reason, always use the latest version of Langfuse SDKs/APIs. Even if you're only creating a plan for another agent to execute, be explicit about the exact version to use.
If you guide the user through UI and are unsure about a label or location, inspect the user’s screenshots or ask to see the relevant screen. Do not assume UI labels have the exact same names as API, SDK, or CLI fields.

Use case specific references

instrumenting an existing function/application: references/instrumentation.md
creating or getting to a good (evaluation) dataset to measure quality or test for regressions in AI systems: references/create-dataset.md
migrating prompts from a codebase into Langfuse: references/prompt-migration.md
creating a prompt or changing any part of an existing prompt, including small edits and debugging/tuning: references/prompt-engineering.md
setting up evals when the user needs to identify gaps across signal capture, monitoring, and evaluator metrics ("I have traces, how do I set up evals?"): references/setting-up-evals.md
capturing user feedback (thumbs, ratings, implicit signals) as scores on traces: references/user-feedback.md
further tips on using the Langfuse CLI: references/cli.md
upgrading or migrating Langfuse SDKs and preserving application instrumentation attributes: references/sdk-upgrade.md
upgrading legacy trace-level or dataset-item evaluators to observation-level or experiment evaluators: references/trace-evaluator-upgrade.md. Use the evaluator migration guide as the primary reference.
preparing a Langfuse project for the v4 platform migration: references/v4-project-migration.md
judge calibration (LLM-as-a-Judge reliability, simple accuracy checks, advanced split-based validation, confusion matrices, and metric ingestion): references/judge-calibration.md
systematic error analysis when requested directly or eval setup still lacks concrete failure modes after agent-led trace inspection: references/error-analysis.md
setting up CI/CD experiment gates with langfuse/experiment-action: references/ci-cd.md
submitting feedback about this skill: references/skill-feedback.md

1. Langfuse API via CLI

Use the langfuse-cli to interact with the full Langfuse REST API from the command line. Run via npx (no install required):

Start by discovering the schema and available arguments:

# Discover all available resources
npx langfuse-cli api __schema

# List actions for a resource
npx langfuse-cli api <resource> --help

# Show args/options for a specific action
npx langfuse-cli api <resource> <action> --help

Credentials

Set environment variables before making calls:

export LANGFUSE_PUBLIC_KEY=pk-lf-...
export LANGFUSE_SECRET_KEY=sk-lf-...
export LANGFUSE_BASE_URL=https://cloud.langfuse.com # example for EU cloud. For US cloud it's us.cloud.langfuse.com, and can also be a self-hosted URL. The server must always be specified in order to access Langfuse.

If LANGFUSE_BASE_URL is used instead of LANGFUSE_HOST, run export LANGFUSE_HOST="$LANGFUSE_BASE_URL". If not set, ask the user to set them in their shell or a .env file. Keys are found in the Langfuse project under Settings -> API Keys; the user should create a project API key pair there. If they do not have a Langfuse account yet, share that they can create one for free at https://langfuse.com/cloud. Do not ask them to paste keys into chat for security reasons.

Detailed CLI Reference

For common workflows, tips, and full usage patterns, see references/cli.md.

2. Langfuse Documentation

Three methods to access Langfuse docs, in order of preference. Always prefer your application's native web fetch and search tools (e.g., WebFetch, WebSearch, mcp_fetch, etc.) over curl when available. The URLs and patterns below work with any fetching method — the curl examples are just illustrative.

2a. Documentation Index (llms.txt)

Fetch the full index of all documentation pages:

curl -s https://langfuse.com/llms.txt

Returns a structured list of every doc page with titles and URLs. Use this to discover the right page for a topic, then fetch that page directly.

Alternatively, you can start on https://langfuse.com/docs and explore the site to find the page you need.

2b. Fetch Individual Pages as Markdown

Any page listed in llms.txt can be fetched as markdown by appending .md to its path or by using Accept: text/markdown in the request headers. Use this when you know which page contains the information needed. Returns clean markdown with code examples and configuration details.

curl -s "https://langfuse.com/docs/observability/overview.md"
curl -s "https://langfuse.com/docs/observability/overview" -H "Accept: text/markdown"

2c. Search Documentation

When you need to find information across all docs and github issues/discussions without knowing the specific page:

curl -s "https://langfuse.com/api/search-docs?query=<url-encoded-query>"

Example:

curl -s "https://langfuse.com/api/search-docs?query=How+do+I+trace+LangGraph+agents"

Returns a JSON response with:

query: the original query
answer: a JSON string containing an array of matching documents, each with:
- url: link to the doc page
- title: page title
- source.content: array of relevant text excerpts from the page

Search is a great fallback if you cannot find the relevant pages or need more context. Especially useful when debugging issues as all GitHub Issues and Discussions are also indexed. Responses can be large — extract only the relevant portions. Note that changelog posts may also surface here: use them only to confirm a feature exists, never to implement from — their examples may be outdated, so always implement from the docs and API/SDK reference.

Documentation Workflow

Start with llms.txt to orient — scan for relevant page titles
Fetch specific pages when you identify the right one
Fall back to search when the topic is unclear and you want more context

Skill Feedback

When the user expresses that something about this skill is not working as expected, gives incorrect guidance, is missing information, or could be improved — offer to submit feedback to the Langfuse skill maintainers. This includes when:

The skill gave wrong or outdated instructions
A workflow didn't produce the expected result
The user wishes the skill covered something it doesn't
The user explicitly says something like "this should work differently" or "this is wrong"

Do NOT trigger this for issues with Langfuse itself (the product) — only for issues with this skill's instructions and behavior.

When triggered, follow the process in references/skill-feedback.md.

View source ↗

File metadata

name: langfuse
description: >-
  Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do any AI engineering task (AI observability, prompt engineering/management, evaluation and evaluator management, experimentation, dataset management, evaluation-driven CI/CD, feedback collection). Invoke it for tasks in this scope even when Langfuse is not configured or explicitly mentioned.
allowed-tools:
  - WebFetch(domain:langfuse.com)
  - Bash(curl *langfuse.com/*)
  - Bash(npx langfuse-cli api __schema *)
  - Bash(npx langfuse-cli api * --help *)
  - Bash(npx langfuse-cli api * list *)
  - Bash(npx langfuse-cli api * get *)
  - Bash(bunx langfuse-cli api __schema *)
  - Bash(bunx langfuse-cli api * --help *)
  - Bash(bunx langfuse-cli api * list *)
  - Bash(bunx langfuse-cli api * get *)

View original text

---
name: langfuse
description: >-
Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do any AI engineering task (AI observability, prompt engineering/management, evaluation and evaluator management, experimentation, dataset management, evaluation-driven CI/CD, feedback collection). Invoke it for tasks in this scope even when Langfuse is not configured or explicitly mentioned.
allowed-tools:
- WebFetch(domain:langfuse.com)
- Bash(curl *langfuse.com/*)
- Bash(npx langfuse-cli api __schema *)
- Bash(npx langfuse-cli api * --help *)
- Bash(npx langfuse-cli api * list *)
- Bash(npx langfuse-cli api * get *)
- Bash(bunx langfuse-cli api __schema *)
- Bash(bunx langfuse-cli api * --help *)
- Bash(bunx langfuse-cli api * list *)
- Bash(bunx langfuse-cli api * get *)
---

# Langfuse

This skill helps you use Langfuse effectively across all common workflows: instrumenting applications, migrating prompts, debugging traces, and accessing data programmatically.

## Core Principles

Follow these principles for ALL Langfuse work:

1. **Documentation First**: NEVER implement based on memory. Always fetch current docs before writing code (Langfuse updates frequently) See the section below on how to access documentation.
2. **CLI for Data Access**: Use `langfuse-cli` when querying/modifying Langfuse data. See the section below on how to use the CLI.
3. **Best Practices by Use Case**: Read the relevant reference below use-case-specific guidelines before asking the user for more details or implementing.
4. **Use latest Langfuse versions**: Unless the user specified otherwise or there's a good reason, always use the latest version of Langfuse SDKs/APIs. Even if you're only creating a plan for another agent to execute, be explicit about the exact version to use.
5. **If you guide the user through UI** and are unsure about a label or location, inspect the user’s screenshots or ask to see the relevant screen. Do not assume UI labels have the exact same names as API, SDK, or CLI fields.

## Use case specific references

- instrumenting an existing function/application: references/instrumentation.md
- creating or getting to a good (evaluation) dataset to measure quality or test for regressions in AI systems: references/create-dataset.md
- migrating prompts from a codebase into Langfuse: references/prompt-migration.md
- creating a prompt or changing any part of an existing prompt, including small edits and debugging/tuning: references/prompt-engineering.md
- setting up evals when the user needs to identify gaps across signal capture, monitoring, and evaluator metrics ("I have traces, how do I set up evals?"): references/setting-up-evals.md
- capturing user feedback (thumbs, ratings, implicit signals) as scores on traces: references/user-feedback.md
- further tips on using the Langfuse CLI: references/cli.md
- upgrading or migrating Langfuse SDKs and preserving application instrumentation attributes: references/sdk-upgrade.md
- upgrading legacy trace-level or dataset-item evaluators to observation-level or experiment evaluators: references/trace-evaluator-upgrade.md. Use the [evaluator migration guide](https://langfuse.com/faq/all/llm-as-a-judge-migration) as the primary reference.
- preparing a Langfuse project for the v4 platform migration: references/v4-project-migration.md
- judge calibration (LLM-as-a-Judge reliability, simple accuracy checks, advanced split-based validation, confusion matrices, and metric ingestion): references/judge-calibration.md
- systematic error analysis when requested directly or eval setup still lacks concrete failure modes after agent-led trace inspection: references/error-analysis.md
- setting up CI/CD experiment gates with `langfuse/experiment-action`: references/ci-cd.md
- submitting feedback about this skill: references/skill-feedback.md

## 1. Langfuse API via CLI

Use the `langfuse-cli` to interact with the full Langfuse REST API from the command line. Run via npx (no install required):

Start by discovering the schema and available arguments:

```bash
# Discover all available resources
npx langfuse-cli api __schema

# List actions for a resource
npx langfuse-cli api <resource> --help

# Show args/options for a specific action
npx langfuse-cli api <resource> <action> --help
```

### Credentials

Set environment variables before making calls:

```bash
export LANGFUSE_PUBLIC_KEY=pk-lf-...
export LANGFUSE_SECRET_KEY=sk-lf-...
export LANGFUSE_BASE_URL=https://cloud.langfuse.com # example for EU cloud. For US cloud it's us.cloud.langfuse.com, and can also be a self-hosted URL. The server must always be specified in order to access Langfuse.
```
If `LANGFUSE_BASE_URL` is used instead of `LANGFUSE_HOST`, run `export LANGFUSE_HOST="$LANGFUSE_BASE_URL"`.
If not set, ask the user to set them in their shell or a `.env` file. Keys are found in the Langfuse project under Settings -> API Keys; the user should create a project API key pair there. If they do not have a Langfuse account yet, share that they can create one for free at `https://langfuse.com/cloud`. Do not ask them to paste keys into chat for security reasons.

### Detailed CLI Reference

For common workflows, tips, and full usage patterns, see [references/cli.md](references/cli.md).

## 2. Langfuse Documentation

Three methods to access Langfuse docs, in order of preference. **Always prefer your application's native web fetch and search tools** (e.g., `WebFetch`, `WebSearch`, `mcp_fetch`, etc.) over `curl` when available. The URLs and patterns below work with any fetching method — the `curl` examples are just illustrative.

### 2a. Documentation Index (llms.txt)

Fetch the full index of all documentation pages:

```bash
curl -s https://langfuse.com/llms.txt
```

Returns a structured list of every doc page with titles and URLs. Use this to discover the right page for a topic, then fetch that page directly.

Alternatively, you can start on `https://langfuse.com/docs` and explore the site to find the page you need.

### 2b. Fetch Individual Pages as Markdown

Any page listed in llms.txt can be fetched as markdown by appending `.md` to its path or by using `Accept: text/markdown` in the request headers. Use this when you know which page contains the information needed. Returns clean markdown with code examples and configuration details.

```bash
curl -s "https://langfuse.com/docs/observability/overview.md"
curl -s "https://langfuse.com/docs/observability/overview" -H "Accept: text/markdown"
```

### 2c. Search Documentation

When you need to find information across all docs and github issues/discussions without knowing the specific page:

```bash
curl -s "https://langfuse.com/api/search-docs?query=<url-encoded-query>"
```

Example:

```bash
curl -s "https://langfuse.com/api/search-docs?query=How+do+I+trace+LangGraph+agents"
```

Returns a JSON response with:

- `query`: the original query
- `answer`: a JSON string containing an array of matching documents, each with:
- `url`: link to the doc page
- `title`: page title
- `source.content`: array of relevant text excerpts from the page

### Documentation Workflow

1. Start with **llms.txt** to orient — scan for relevant page titles
2. **Fetch specific pages** when you identify the right one
3. Fall back to **search** when the topic is unclear and you want more context

## Skill Feedback

- The skill gave wrong or outdated instructions
- A workflow didn't produce the expected result
- The user wishes the skill covered something it doesn't
- The user explicitly says something like "this should work differently" or "this is wrong"

**Do NOT trigger this** for issues with Langfuse itself (the product) — only for issues with this skill's instructions and behavior.

When triggered, follow the process in [references/skill-feedback.md](references/skill-feedback.md).

Review the source

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License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

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Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Minor inconsistency: SKILL.md mentions both LANGFUSE_BASE_URL and LANGFUSE_HOST in a truncated line; the CLI reference clarifies BASE_URL, but the main file could be clearer.
The skill relies heavily on external documentation and may require network access; offline usage is not addressed.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 269 stars, 36 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: langfuse/skills
License: MIT
Version: 1.0.0
Last GitHub push: Sep 4, 2026
Registry updated: Oct 9, 2026
Instruction path: skills/langfuse/SKILL.md @ fc574260e553

Version reported in registry metadata; check source releases before relying on it.

Quality

68/100

Promising

Trust

55/100

Do not auto-install

Audit

72/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Minor inconsistency: SKILL.md mentions both LANGFUSE_BASE_URL and LANGFUSE_HOST in a truncated line; the CLI reference clarifies BASE_URL, but the main file could be clearer.
The skill relies heavily on external documentation and may require network access; offline usage is not addressed.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 269 stars, 36 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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      "install": "npx skills add langfuse/skills --skill langfuse",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "automation",
      "agent-skill"
    ],
    "known_risks": [
      "Minor inconsistency: SKILL.md mentions both LANGFUSE_BASE_URL and LANGFUSE_HOST in a truncated line; the CLI reference clarifies BASE_URL, but the main file could be clearer.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 269 stars, 36 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 72,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Minor inconsistency: SKILL.md mentions both LANGFUSE_BASE_URL and LANGFUSE_HOST in a truncated line; the CLI reference clarifies BASE_URL, but the main file could be clearer.",
      "The skill relies heavily on external documentation and may require network access; offline usage is not addressed.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 68,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "GitHub automation",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Minor inconsistency: SKILL.md mentions both LANGFUSE_BASE_URL and LANGFUSE_HOST in a truncated line; the CLI reference clarifies BASE_URL, but the main file could be clearer.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "The skill relies heavily on external documentation and may require network access; offline usage is not addressed."
  ],
  "agent_contract": {
    "task_input": "Use langfuse in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 72/100 Needs review",
      "Safety: 28/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "langfuse-langfuse-056345e0 (langfuse)",
      "install_command": "npx skills add langfuse/skills --skill langfuse",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "langfuse-langfuse-056345e0",
      "task": "Use langfuse in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/langfuse-langfuse-056345e0",
    "api": "https://www.openagentskill.com/api/agent/skills/langfuse-langfuse-056345e0",
    "audit": "https://www.openagentskill.com/skills/langfuse-langfuse-056345e0/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=langfuse-langfuse-056345e0&task=Use%20langfuse%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20langfuse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20langfuse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/langfuse-langfuse-056345e0/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/langfuse-langfuse-056345e0"
  }
}

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Creator: langfuse
Source: langfuse/skills
Indexed by: OpenAgentSkill community index

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Overview

Langfuse

Core Principles

Use case specific references

1. Langfuse API via CLI

Credentials

Detailed CLI Reference

2. Langfuse Documentation

2a. Documentation Index (llms.txt)

2b. Fetch Individual Pages as Markdown

2c. Search Documentation

Documentation Workflow

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