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E2e

OrganizationPopular
vellum-ai
e2e

Run end-to-end tests via the CI workflow.

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namee2e
Stars
1.4K
Forks
208
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 vellum-ai on GitHub. Read the source before you install it.

Installation

Install the E2e 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/vellum-ai/vellum-assistant/tree/main/.claude/skills/vellum-skills/e2e
  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/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/.claude/skills/vellum-skills/e2e .claude/skills/e2e
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable E2e 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 E2e 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 E2e 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.

Run end-to-end tests via the CI workflow.

The user may pass $ARGUMENTS to filter to a specific test case by name (e.g., hello-world, phone-setup). If not provided, infer options from context (see below).

Steps

1. Determine options

Experimental tests: Always include --experimental by default. The user can pass --no-experimental to exclude them.

Branch detection: Check what branch you're on via git branch --show-current. If you're on a branch other than main, automatically pass -b <branch-name> so the CI run tests against that branch. The user can override with -b <other-branch> explicitly.

Test case filter: Determine which test case to target:

  1. If the user passes a bare word argument (e.g., phone-setup), use that as the filter.
  2. Otherwise, look at the conversational context - if you've been working on or discussing a specific e2e test case (e.g., editing playwright/cases/phone-setup.md), automatically target that test case.
  3. If neither applies, run all tests.

Additional flags from $ARGUMENTS:

  • --xcode uses the agent-xcode (AXUIElement) runner
  • -d or --detach triggers the run and exits without polling
  • --no-experimental overrides the default and excludes experimental tests

2. Trigger the CI run

bash
cd playwright && bun run scripts/agent-ci.ts <options>

Map the resolved options:

  • Test case filter: -t <case-name>
  • Experimental (default on): --experimental
  • Branch: -b <branch-name>
  • Xcode runner: --xcode
  • Detach mode: -d

Examples:

  • /e2e (on main, no context) → bun run scripts/agent-ci.ts --experimental
  • /e2e (on branch feat/phone, after editing phone-setup.md) → bun run scripts/agent-ci.ts --experimental -b feat/phone -t phone-setup
  • /e2e hello-world (on main) → bun run scripts/agent-ci.ts --experimental -t hello-world
  • /e2e --detach (on branch fix/bug) → bun run scripts/agent-ci.ts --experimental -b fix/bug -d
  • /e2e --no-experimental → bun run scripts/agent-ci.ts

3. Report

Before running, briefly state the resolved options (branch, test case, experimental) so the user can see what was inferred.

Once the command finishes (or is dispatched in detach mode), summarize:

  • Whether the workflow was triggered successfully
  • The branch, test case filter, and flags used
  • A link to the running workflow

Frequently asked questions

What does the E2e AI skill do?

Run end-to-end tests via the CI workflow.

Why use E2e on TypingMind?

Because you install it once and use it with any model. E2e 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 E2e in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/.claude/skills/vellum-skills/e2e. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use E2e?

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 E2e?

As many as you like. As long as a model supports skills, you can use E2e with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the E2e AI skill free?

Yes. It is published on GitHub by vellum-ai 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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