Langfuse
langfuse/skills
Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.
Langfuse production readiness checklist and verification. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklist --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .claude/skills/langfuse-prod-checklist && 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 "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .claude/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklistType 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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .agents/skills/langfuse-prod-checklist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .agents/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .cursor/skills/langfuse-prod-checklist && 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 "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .cursor/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/langfuse-prod-checklist--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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .gemini/skills/langfuse-prod-checklist && 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 "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .gemini/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklistInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .github/skills/langfuse-prod-checklist && 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 "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .github/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace langfuse-prod-checklist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/langfuse-prod-checklist .opencode/skills/langfuse-prod-checklist && 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 "langfuse-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/langfuse-prod-checklist into .opencode/skills/langfuse-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse-prod-checklist", 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.
langfuse-prod-checklistLangfuse production readiness checklist and verification. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Langfuse Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Langfuse production readiness checklist and verification. Use when preparing to deploy Langfuse to production, validating production configuration, or auditing existing setup. Trigger with phrases like "langfuse production", "langfuse prod ready", "deploy langfuse", "langfuse checklist", "langfuse go live".
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation.md`). Compatibility notes: Designed for Claude Code
It sits in AI & LLM Engineering, covering LLM observability. It works with Langfuse. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
Read from SKILL.md and the folder at commit cfae287. 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:
ReadWriteEditBash(npm:*)GrepFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
langfuse.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LANGFUSE_PUBLIC_KEYLANGFUSE_SECRET_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Langfuse Prod Checklist loads about 2k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 359 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 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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 359 words, ~1,980 tokens.
.claude/skills/langfuse-prod-checklist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Comprehensive checklist for deploying Langfuse observability to production with verified configuration, error handling, graceful shutdown, monitoring, and a pre-deployment verification script.
// v4+ Production Config
import { LangfuseSpanProcessor } from "@langfuse/otel";
import { NodeSDK } from "@opentelemetry/sdk-node";
const processor = new LangfuseSpanProcessor({
exportIntervalMillis: 5000, // Flush every 5s
maxExportBatchSize: 50, // Batch size
maxQueueSize: 2048, // Buffer limit
});
const sdk = new NodeSDK({ spanProcessors: [processor] });
sdk.start();
// Graceful shutdown on all signals
for (const signal of ["SIGTERM", "SIGINT", "SIGUSR2"]) {
process.on(signal, async () => {
await sdk.shutdown();
process.exit(0);
});
}// v3 Legacy Production Config
import { Langfuse } from "langfuse";
const langfuse = new Langfuse({
flushAt: 25, // Balance between latency and efficiency
flushInterval: 5000, // 5 second flush interval
requestTimeout: 15000, // 15s timeout
enabled: true, // Explicitly enable
});
process.on("beforeExit", () => langfuse.shutdownAsync());
process.on("SIGTERM", () => langfuse.shutdownAsync().then(() => process.exit(0)));import { observe, updateActiveObservation, startActiveObservation } from "@langfuse/tracing";
// Wrap all traced operations with error safety
const tracedEndpoint = observe({ name: "api-endpoint" }, async (req: Request) => {
try {
updateActiveObservation({
input: { path: req.url, method: req.method },
metadata: { userId: req.userId },
});
const result = await processRequest(req);
updateActiveObservation({ output: { status: 200 } });
return result;
} catch (error) {
// Log error to trace -- don't let tracing error mask app error
try {
updateActiveObservation({
output: { error: String(error) },
metadata: { level: "ERROR" },
});
} catch {
// Tracing failure must never break the app
}
throw error;
}
});// scripts/verify-langfuse-prod.ts
import { LangfuseClient } from "@langfuse/client";
import { startActiveObservation, updateActiveObservation } from "@langfuse/tracing";
async function verify() {
const checks: Array<{ name: string; pass: boolean; detail: string }> = [];
// 1. Environment variables
const requiredVars = ["LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY"];
for (const v of requiredVars) {
checks.push({
name: `Env: ${v}`,
pass: !!process.env[v],
detail: process.env[v] ? `SET (${process.env[v]!.slice(0, 10)}...)` : "MISSING",
});
}
// 2. Key validation
const pk = process.env.LANGFUSE_PUBLIC_KEY || "";
const sk = process.env.LANGFUSE_SECRET_KEY || "";
checks.push({
name: "Key format",
pass: pk.startsWith("pk-lf-") && sk.startsWith("sk-lf-"),
detail: `Public: ${pk.startsWith("pk-lf-")}, Secret: ${sk.startsWith("sk-lf-")}`,
});
// 3. API connectivity
try {
const langfuse = new LangfuseClient();
// Try fetching prompts as a connectivity test
await langfuse.prompt.get("__health-check__").catch(() => {});
checks.push({ name: "API connectivity", pass: true, detail: "Connected" });
} catch (error) {
checks.push({ name: "API connectivity", pass: false, detail: String(error) });
}
// 4. Trace creation
try {
await startActiveObservation("prod-verify", async () => {
updateActiveObservation({
input: { test: true },
output: { verified: true },
metadata: { verification: "pre-deploy" },
});
});
checks.push({ name: "Trace creation", pass: true, detail: "Trace created" });
} catch (error) {
checks.push({ name: "Trace creation", pass: false, detail: String(error) });
}
// Report
console.log("\n=== Langfuse Production Verification ===\n");
let allPassed = true;
for (const check of checks) {
const icon = check.pass ? "PASS" : "FAIL";
console.log(` [${icon}] ${check.name}: ${check.detail}`);
if (!check.pass) allPassed = false;
}
console.log(`\n${allPassed ? "All checks passed." : "SOME CHECKS FAILED."}\n`);
if (!allPassed) process.exit(1);
}
verify();pk-lf- / sk-lf-)flushAt: 25-50)flushInterval: 5000)requestTimeout: 15000)try/finally (v3) or use observe/startActiveObservation (v4+)Run the checklist against one named environment and attach the verification script output to the deployment record. Resolve every failed required item or record an explicit time-bounded exception with an owner and rollback plan. Run the check again after changing SDK configuration, secrets, or deployment topology.
Produce a production-readiness receipt with environment, deployment revision, check timestamp, pass/fail results, exception owners, and one trace-health observation. Reference secret names only; never print API keys or trace payloads.
Before a production release, run the verifier with production secret references available, confirm graceful shutdown in a disposable rollout, and submit one synthetic trace. If the trace is delayed, record telemetry as degraded while keeping the application's health result separate.
| Issue | Cause | Solution |
|---|---|---|
| Missing traces in prod | No flush on exit | Add shutdown handler for SIGTERM |
| Memory growth | Client created per request | Use singleton pattern |
| High latency | Small batches | Increase flushAt to 25-50 |
| Lost traces on deploy | No graceful shutdown | Add SIGTERM handler with sdk.shutdown() |
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/.curated/langfuse-prod-checklist of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Langfuse Prod Checklist 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 |
|---|---|---|---|---|---|---|
| Langfuse Prod Checklist this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Pass | MIT | |
| Langfuselangfuse/skills | 301 | — | ~2.1k | Automated safety check: Notes | MIT | |
| AI Observabilityomer-metin/skills-for-antigravity | 163 | — | ~578 | Automated safety check: Pass | Apache-2.0 | |
| Agent Setup Maintenancelangfuse/langfuse | 36k | — | ~799 | Automated safety check: Pass | Custom licence | |
| Langfuse Integration Pagelangfuse/langfuse-docs | 246 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Infra Scalinglangfuse/langfuse | 36k | — | ~4.4k | Automated safety check: Pass | Custom licence |
langfuse/skills
Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.
omer-metin/skills-for-antigravity
Implement comprehensive observability for LLM applications including tracing (Langfuse/Helicone), cost tracking, token optimization, RAG evaluation metrics (RAGAS), hallucination detection, and…
langfuse/langfuse
Shared workflow for editing Langfuse's repo-owned agent setup under .agents/.
langfuse/langfuse-docs
Create a new Langfuse integration page in the langfuse-docs repo.
langfuse/langfuse
Tune and review Langfuse autoscaling for web, web-iso, and web-ingestion.
langfuse/langfuse
Use Langfuse's disposable per-PR previews at pr-N.preview.langfuse.com (synthetic data only).
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Langfuse production readiness checklist and verification. An agent skill from jeremylongshore/tons-of-skills-marketplace. Langfuse Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Langfuse production readiness checklist and verification.
Langfuse Prod Checklist fits situations like: preparing to deploy Langfuse to production; validating production configuration; auditing existing setup; with phrases like langfuse production.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a claude-code`. Or copy the skill folder (skills/.curated/langfuse-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/langfuse-prod-checklist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a codex`. Or copy the skill folder (skills/.curated/langfuse-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/langfuse-prod-checklist 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 jeremylongshore/tons-of-skills-marketplace --skill langfuse-prod-checklist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langfuse-prod-checklist, .gemini/skills/langfuse-prod-checklist, .github/skills/langfuse-prod-checklist and .opencode/skills/langfuse-prod-checklist in your project.
Going by SKILL.md and its folder, Langfuse Prod Checklist needs credentials named LANGFUSE_PUBLIC_KEY and LANGFUSE_SECRET_KEY. Our summary lists: A credential in LANGFUSE_PUBLIC_KEY; A credential in LANGFUSE_SECRET_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 1 domain. As links in the text: langfuse.com. This is read from the text; nothing was executed.
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.
Langfuse Prod Checklist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k 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 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Langfuse Prod Checklist: Langfuse (langfuse/skills, 301 stars), AI Observability (omer-metin/skills-for-antigravity, 163 stars), Agent Setup Maintenance (langfuse/langfuse, 36k 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.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.