Langfuse
Official@langfuse
Open source AI engineering platform. Debug, analyze and iterate together.
Agent Skills by Langfuse
Showing 36 vetted skills indexed across 1 GitHub repositories.
langfusevercel-react-best-practices
Applies 57 performance optimization rules when writing or refactoring React and Next.js code.
langfusevercel-composition-patterns
Guides React component refactoring using compound components, context providers, and composition patterns.
langfusecursor-agents-workflow
Standardizes Linear branch naming, GitHub PR proof, and bot review handling for Cursor agents.
langfuserefactor-react-effects
Refactor avoidable React useEffect usage into render derivations, event handlers, and integration hooks.
langfusebackend-dev-guidelines
Guides building and reviewing Langfuse backend code across tRPC, REST APIs, and BullMQ workers.
langfusehousekeeping
Triages engineer work queues across Linear, Pylon, and GitHub with prioritized action recommendations.
langfusestorybook
Guides writing and reviewing Storybook stories for React components.
langfusefrontend-browser-review
Reviews user-visible frontend changes in Langfuse using browser automation before signoff.
langfuselinear-bug-triage
Deduplicate measured bug evidence and create or comment Linear triage issues.
langfuseadd-model-price
Adds and audits LLM model pricing entries in Langfuse's default-model-prices.json catalog.
langfusegit-workflow
Enforces Langfuse repo conventions for commits, branches, pull requests, and releases.
langfuseseed-test-data
Seeds deterministic Langfuse test data into ClickHouse and Postgres for local development.
langfusecode-review
Review Langfuse code changes for correctness, regressions, and security risks.
langfuseincident-alert-tickets
Look up and update Linear incident-alert tickets for Datadog monitors and on-call pages.
langfusepnpm-upgrade-package
Upgrade pnpm workspace dependencies with release-age checks and lockfile verification.
langfusereact-component-cleaner
Refactors React component props, variants, and classNames through an auditable step-by-step cleanup workflow.
langfuseinfra-scaling
Tune Langfuse ECS autoscaling settings using Terraform and Datadog evidence.
langfusedatadog-query-recipes
Queries Langfuse production telemetry in Datadog across regions, services, queues, and tenants.
langfuseagent-setup-maintenance
Maintains Langfuse's shared agent configuration files and generated provider shims.
langfuseskill-creator
Create and validate Codex skill directories with templates, scripts, and frontmatter rules.
langfusereact-component-guidelines
Enforces design rules for writing encapsulated and composable React components.
langfusedebug-issue-with-datadog
Diagnose production issues by correlating Datadog telemetry with Langfuse source code.
langfuseanalyze-cloud-costs
Analyze Langfuse Cloud infrastructure costs using Metabase cost marts and dashboards.
langfuseweekly-production-review
Generates weekly production reviews from incident.io, Linear, and Datadog sources.
Frequently Asked Questions About Langfuse
FAQPage SchemaWhat specific tasks does Langfuse enable for engineering teams?▼
Langfuse enables real-time observability, performance monitoring, and debugging for complex code deployments. It provides granular visibility into execution paths and enforces standardized development guidelines across monorepo architectures, ensuring consistent quality and performance metrics throughout the development lifecycle.
Which technical personas benefit most from these capabilities?▼
Backend engineers, platform architects, and full-stack developers working within Next.js 14 monorepos benefit most. It is specifically designed for teams managing Claude Code deployments who require rigorous enforcement of development standards and deep insight into runtime behavior.
What are the licensing and cost considerations for this platform?▼
Langfuse is an open-source platform, allowing for self-hosted deployments without licensing fees. Organizations can integrate the platform into their existing infrastructure to maintain full control over their data and monitoring environment while leveraging community-driven updates and features.