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Argent Create Flow

OrganizationPopular
software-mansion
argent-create-flow

Create, record, edit, replay, or repair reusable Argent flow YAML files. Use when the user asks to record or replay a repeatable device path, set up profiling or an A/B comparison, or invoke the authoring engine behind argent-qa-flows. Also use before repeating three or more interactions. For one-off UI checks, acceptance-driven regression tests, or screen video, use argent-test-ui-flow, argent-qa-flows, or argent-screen-recording respectively.

Overview

Publishersoftware-mansion
Repositoryargent
Skill nameargent-create-flow
Stars
2.9K
Forks
124
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by software-mansion on GitHub. Read the source before you install it.

Installation

Install the Argent Create Flow 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/software-mansion/argent/tree/main/packages/skills/skills/argent-create-flow
  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/software-mansion/argent.git /tmp/argent
mkdir -p .claude/skills
cp -r /tmp/argent/packages/skills/skills/argent-create-flow .claude/skills/argent-create-flow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Argent Create Flow 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 Argent Create Flow 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 Argent Create Flow 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.

Create an Argent flow

An Argent flow is a replayable sequence in .argent/flows/<name>.yaml.

For a saved QA test case, ticket, or acceptance criterion, load argent-qa-flows first. It adds deterministic setup, acceptance evidence, and two-pass proof.

Read the relevant reference

  • Before creating or changing a flow, read Live authoring completely.
  • When polishing, composing, or manually reviewing YAML, read Flow YAML. For Vega, read its platform limits before recording remote or keyboard tools.
  • Flows run on physical iPhones (an iOS list-devices entry with kind "device"), but replay never auto-binds one, even when no simulator is booted: pass the phone's udid as device (CLI --device), and only a connected phone can run. pinch/rotate steps fail there like the live tools. On hardware the flow tree is the describe tree: same ids and roles, no UIView hierarchy. See argent-ios-device-interact for the hardware contract.
  • On capture warnings, raw coordinates, unavailable trees, mistimed transitions, overlays, or replay failures, read Reliability and recovery.

Non-negotiable rules

  1. Record the first walkthrough. Start the recorder before the first launch or in-app action. Do not reconstruct a rehearsed path.
  2. Record checks when their states appear. Record await-ui-element live, then convert it during polish. An echo records intent or diagnostic context, not app behavior or a verdict. A screenshot is human evidence, not an executable verdict. For absence, record the same selector as visible, perform the removing action, then record it as hidden.
  3. Use semantic targets. Prefer a strict id, then stable text or an accessibility label. Use scroll-to for off-screen elements. Resolve every raw-point warning immediately through the coordinate fallback gate.
  4. Prove every screen change. Record a destination-only identity check. During polish, follow it with await: { idle: true }. Stillness does not prove identity, and idle can pass with a warning.
  5. Polish only executed behavior. Convert recorded steps without changing their meaning. Record any missing action or structural check live. The only unrecorded insertions are a planned snapshot:, a navigation await: { idle: true }, and the documented Chromium packaging launch:.
  6. Use scripts only when the user requests them. Read Flow YAML: Local scripts, then record each script with flow-add-script.
  7. Replay the final YAML end to end. A normal flow needs one uninterrupted full pass. argent-qa-flows requires two consecutive passes.

Stable selectors

A stable selector is fixed by app code and survives account, data, time, count, order, and every locale and environment the flow supports. Prefer ids such as settings-screen. Do not gate on values such as Today, Item 4, usernames, counters, or timestamps.

Flow-only selector scopes

During polish, use within, after, and next to disambiguate repeated elements. Read Flow YAML: Relational scopes for their frame-based semantics and failure cases.

Workflow

  1. Choose the flow type:
    • e2e: the first step that is not echo: or script: is launch:. The flow controls process start.
    • fragment: there is no leading launch. Declare a precise executionPrerequisite.
  2. Follow Live authoring: start, record one verified step at a time, finish, polish, audit, and replay.
  3. Report the file, replay command, result, prerequisite or side effects, and every coordinate or raw-gesture exception.

Proactive recording

Before repeating three or more interactions, tell the user and start a recording. Record that run and replay it afterward. A completed path cannot be recorded retroactively.

Repair

When replay fails, follow Reliability and recovery. Inspect the first divergence, correct the smallest justified unit, audit, and replay the full flow. Stop after two unsuccessful correction cycles. Never weaken a requested check to obtain a pass.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Argent Create Flow AI skill do?

Create, record, edit, replay, or repair reusable Argent flow YAML files. Use when the user asks to record or replay a repeatable device path, set up profiling or an A/B comparison, or invoke the authoring engine behind argent-qa-flows. Also use before repeating three or more interactions. For one-off UI checks, acceptance-driven regression tests, or screen video, use argent-test-ui-flow, argent-qa-flows, or argent-screen-recording respectively.

Why use Argent Create Flow on TypingMind?

Because you install it once and use it with any model. Argent Create Flow 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 Argent Create Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/software-mansion/argent/tree/main/packages/skills/skills/argent-create-flow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Argent Create Flow?

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 Argent Create Flow?

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

Is the Argent Create Flow AI skill free?

Yes. It is published on GitHub by software-mansion under the Apache-2.0 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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