Add Customer To User List logo

Add Customer To User List

Organization
langfuse
add-customer-to-user-list

Add 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.

Overview

Publisherlangfuse
Repositorylangfuse-docs
Skill nameadd-customer-to-user-list
Stars
247
Forks
327
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by langfuse on GitHub. Read the source before you install it.

Installation

Install the Add Customer To User List AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/langfuse/langfuse-docs/tree/main/.agents/skills/add-customer-to-user-list
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/langfuse/langfuse-docs.git /tmp/langfuse-docs
mkdir -p .claude/skills
cp -r /tmp/langfuse-docs/.agents/skills/add-customer-to-user-list .claude/skills/add-customer-to-user-list
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Customer To User List in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Customer To User List on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Customer To User List is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Single source of truth: maintain this skill under .agents/skills/add-customer-to-user-list/ only. Claude and Cursor load projected copies under .claude/skills/add-customer-to-user-list and .cursor/skills/add-customer-to-user-list.

Add a customer to the users list

Adds or updates one row in the public adopters table on /users.

Do not write a customer story in this skill. If the user wants a full /users/<slug> case study, use customer-story-setup first, then come back here to link it.

Canonical file

WhatWhere
Adopters table (source of truth)components-mdx/adopters-table.mdx
Rendered on/users (content/customers/index.mdx) and the handbook customers chapter

The handbook imports the same table (<AdoptersTable />). Editing the MDX file updates both pages. Do not duplicate the table elsewhere.

Before writing any file

Collect what you can from the request. Ask only for what is still missing:

  1. Company name — public marketing name
  2. Company website — used in the Company column
  3. Use case — optional; write one if a user story or external link exists
  4. External reference URL — optional public source (blog, job post, DPA, talk)

Then always check for a user story. Do not skip this step.

Always check: is there a user story?

Search the working tree and origin/main (this branch may be behind):

  • content/customers/meta.json → pages (skip "index")
  • content/customers/*.mdx — match company name, legal name, or obvious slug variants (hugging-face vs huggingface, merckgroup vs merck)
  • Frontmatter showInCustomerIndex and quoteCompany if the filename is unclear

The public URL is /users/<slug> where <slug> is the MDX filename without .mdx.

ResultReference column (last)Use case column (middle)
User story exists[User Story](/users/<slug>)Brief summary of how they use Langfuse from the story (or the user's wording if they gave one)
No story, external link givenBriefly named link, see belowBrief summary of the Langfuse use case from that source
No story, no external linkLangfuse CustomerShort product/industry line if the user gave one; otherwise a concise public description of the company. Do not invent a Langfuse use case.

Never write Langfuse Customer when a user story exists. Prefer the user story over an external link when both exist.

External reference links

When the user (or a public source they pointed at) provides a URL and there is no user story:

  1. Open the page and read enough to understand the Langfuse mention.
  2. Middle column: one short use-case phrase (sentence case), focused on what they do with Langfuse or their AI product — not a full company bio.
  3. Last column: a short link label plus the URL, matching existing rows.

Link-label examples already in the table:

Blogpost, Tech Blogpost, AWS Blogpost, LinkedIn Post, Job Description, Case Study, Client Story, Documentation, Release Notes, Research Paper, Source Code, Conference Talk, Conference Deck, Privacy Policy, Data Processing Addendum, Subprocessor List, IT White Paper, Technical Memorandum, Open Source Catalog, OSS LLMOps Stack, Partner Newsletter

Pick the closest label. Include a date only when it helps (Blogpost from 12/23/2025).

Always include a Wayback Machine archive when the Reference cell is an external URL. User-story links (/users/<slug>) and Langfuse Customer do not need one.

  1. Look up an existing 200 snapshot. Always percent-encode the URL with curl -G --data-urlencode (or equivalent). A raw ?url= query treats & in the page URL as another CDX parameter and can miss snapshots.

    bash
    curl -sS -G "https://web.archive.org/cdx/search/cdx" \
      --data-urlencode "url=<URL>" \
      --data-urlencode "output=json" \
      --data-urlencode "filter=statuscode:200" \
      --data-urlencode "limit=1"
  2. If CDX is empty, request a snapshot and wait for it. Do not skip this step or ship the row without an archive. Percent-encode reserved characters in the page URL (?, &, #) so Save Page Now receives the full URL.

    bash
    curl -sS -I "https://web.archive.org/save/$(python3 -c 'import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1], safe=":/"))' '<URL>')"

    Re-query CDX until it returns a 200 row. The Save Page Now response may be 5xx even when a capture is stored — trust CDX plus a fetch of the archive URL.

  3. Confirm the snapshot contains the Langfuse mention (or the cited source content), then use:

    https://web.archive.org/web/<timestamp>/<URL>

md
[Tech Blogpost](https://example.com/post) ([Archive](https://web.archive.org/web/20260304001459/https://example.com/post))

If Wayback cannot capture the page after a retry (common for some LinkedIn or login-walled URLs), use an archive.ph snapshot the same way neighboring rows do. Say so in the PR. Do not omit the archive.

Row format

Insert alphabetically by company display name (the visible name, not the domain). Update an existing row instead of adding a duplicate.

md
| [Company](https://www.example.com/) | Short use-case phrase | Langfuse Customer |
md
| [Company](https://www.example.com/) | Short use-case phrase | [User Story](/users/<slug>) |
md
| [Company](https://www.example.com/) | Short use-case phrase | [Tech Blogpost](https://example.com/post) ([Archive](https://web.archive.org/web/...)) |
  • Company cell: markdown link to the official site. Add a parenthetical only when the table already does that for subsidiaries ((Wix), (Toyota Group)).
  • Use case: sentence case; keep it to one line; American English; no em dashes (use a regular hyphen or an em-dash character only if neighboring rows do).
  • Preserve the existing column padding so the table stays aligned.
  • One H1 per markdown file already exists in consumers; do not add a # heading to the table file.

Optional companion updates (only if they already apply)

Do these only when the company is already on that surface, or the user asks:

SurfaceFileWhen
Handbook featured bulletscontent/handbook/chapters/customers.mdxCompany is in the curated list; add [(Read Story)](/users/<slug>) if a story exists
Homepage logo gridcomponents/shared/EnterpriseLogoGrid.tsxLogo is already in the grid and a story exists → set customerStoryPath: "/users/<slug>"
Wrapped customerscomponents/wrapped/Customers.tsxSame: move to companiesWithStories and { type: "story", name: "..." }

Do not add a homepage logo in this skill. That needs a tight wordmark SVG (no padding; see components/home/img/AGENTS.md) and is a separate request.

Out of scope

  • Creating content/customers/<slug>.mdx or editing content/customers/meta.json → customer-story-setup
  • Designing or replacing homepage logos
  • Inventing public citations or claiming a user story that does not exist

Checklist

  • Searched content/customers/ and origin/main for a user story
  • Reference is User Story, a described external link, or Langfuse Customer
  • External reference includes a Wayback [Archive](...) (requested via Save Page Now if none existed)
  • Use case is a brief, sourced summary (not a long paragraph)
  • Company cell links to the official website
  • Row is alphabetical and not a duplicate
  • Table column alignment preserved
  • pnpm run format if you edited Prettier-covered files

Frequently asked questions

What does the Add Customer To User List AI skill do?

Add 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.

Why use Add Customer To User List on TypingMind?

Because you install it once and use it with any model. Add Customer To User List is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Customer To User List in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/langfuse/langfuse-docs/tree/main/.agents/skills/add-customer-to-user-list. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Customer To User List?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Customer To User List?

As many as you like. As long as a model supports skills, you can use Add Customer To User List with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Customer To User List AI skill free?

Yes. It is published on GitHub by langfuse under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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