ProfessorGPTProfessorGPT
Langfuse
LangfuseLangfuse· v1.0.0
analysisOfficial
Official Provider SkillView repo

Add a new team member to Langfuse's canonical team data and shared team table. Use when onboarding a new employee who needs to appear on the website team, press, about, careers, or handbook pages.

Files1 files
SKILL.md63 lines
Loading editor…

Install

Recommended

One command — your agent picks it up automatically.

Select an AI agent above to see the install command.

or

Manual Install

More steps

Download the file and paste it into your agent's system prompt.

Skill details

Versionv1.0.0
AuthorLangfuse
Categoryanalysis
Skill IDlangfuse/langfuse-docs/.agents/skills/add-yourself-to-team-langfuse

Related skills

Add Customer To User ListAdd or update a company in the Langfuse /users adopters table. Use when the user asks to add a customer, adopter, or company to the users list, /users page, or adopters table — including "add X to the user list", "list as Langfuse Customer", or pasting a public blog/job/case-study link to cite. Always check for an existing user story before choosing the Reference cell.Customer Story SetupConverts draft customer-story Markdown into Langfuse website MDX (Fumadocs), collects missing metadata and assets, wires meta.json and authors. Use when adding or converting a customer case study, user story, or /users page, or when the user mentions customer story setup, cresta/canva-style posts, or CustomerStoryCTA/BlogHeader for customers.Langfuse Integration PageCreate a new Langfuse integration page in the langfuse-docs repo. Use this skill whenever the user wants to add, create, draft, or scaffold an integration page, cookbook, or docs page for a new tool/framework/model-provider/gateway in Langfuse — triggers include "new integration", "integration page", "docs page for <X>", "cookbook for <X>", "add <X> to langfuse docs", or any request that results in a new `cookbook/integration_*.ipynb`. Also use when the user pastes working integration code, a liDatadog Query RecipesResearch 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.Frontend Large Feature ArchitectureArchitect large or state-heavy Langfuse frontend features. Use for virtualized lists, large tables, controllers, Zustand stores, row selection, high-frequency state, rendering performance, or before adding useEffect, useMemo, useCallback, or form defaults derived from loaded data.Sentry InstrumentationDecide whether and how errors report to Sentry. Use when touching capture or error-handling paths in `web/**`, triaging Sentry noise, or changing Sentry settings.