Flux 3 Prompt Doctor logo

Flux 3 Prompt Doctor

Organization
black-forest-labs
flux-3-prompt-doctor

Use when diagnosing a FLUX 3 brief before generation. Resolve missing, conflicting, or schema-changing requirements.

Overview

Publisherblack-forest-labs
Repositoryskills
Skill nameflux-3-prompt-doctor
Stars
135
Forks
11
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by black-forest-labs on GitHub. Read the source before you install it.

Installation

Install the Flux 3 Prompt Doctor 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/black-forest-labs/skills/tree/master/skills/flux-3-prompt-doctor
  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/black-forest-labs/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/flux-3-prompt-doctor .claude/skills/flux-3-prompt-doctor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flux 3 Prompt Doctor 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 Flux 3 Prompt Doctor 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 Flux 3 Prompt Doctor 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.

FLUX 3 Prompt Doctor

Resolve the decisions that change routing, payload, or production method before a brief becomes a prompt. Ask only blocking questions; use documented defaults or label assumptions for everything else. Preserve the user's product names, exact copy, source roles, and hard constraints verbatim. This skill does not write the final prompt or call the API.

Route by what must survive

Every request names its mode and carries the matching media field:

RequirementRoute
Generate the whole clip from wordsmode: "t2v", no media
An image must appear on screen exactly as shotmode: "i2v", keyframes
Bridge an exact opening and closing framemode: "i2v", two keyframes
Pass through visual waypointsmode: "i2v", keyframes as a storyboard
Continue from an existing endingmode: "v2v", start_video
Render an approved draft without replanningmode: "draft_enhance", draft_cache

Two questions separate the image routes: must these exact pixels be on screen (keyframes)? Can the source simply be described (then attach nothing)? There is no field that carries a subject's identity without putting the source on screen; a brief that needs one either opens each shot from a keyframe containing the subject, or is a REVISE.

Feasibility

  • Action budget: one subject action and one camera move per short clip. Revise briefs demanding many sequential actions, several locations, exact mechanisms, or multiple full dialogue lines.

  • Shot structure: state one continuous unbroken take, or an explicit sequence:

    text
    SHOT ONE: wide aerial of a desert highway at dawn, a single red car speeding through.
    HARD CUT. SHOT TWO: interior close-up, the driver's hands drumming the wheel to the radio.
    HARD CUT. SHOT THREE: from the roadside, the car shrinking into the heat haze.
    Warm engine hum under one continuous music bed across all three shots.

    Consecutive shots must contrast hard (scale, location, color) or the cut blends into a continuous take; each shot needs its own beat; one music bed can run across cuts.

  • Contradictions to catch: locked-off camera plus tracking; extreme close-up plus establishing view; exact frame preservation plus major geometric change; one continuous shot plus hard cuts; production-critical generated typography with no post fallback; guaranteed speaker identity across separate generations.

  • Reserve for deterministic post when exactness is a success condition: typography, subtitles, logos; frame-accurate sync; final mixing; precise mechanisms; cross-generation speaker identity. Generation creates footage and causal intent, not a compositor or final mix.

Verdict

Return exactly one state, with a reason, next action, and a compact handoff (templates/brief.md when it should be reusable):

  • READY: route, assumptions, handoff. Recommend a draft first when the concept is unproven.
  • NEEDS INFO: only the blocking questions.
  • REVISE: name the conflict and the minimum repair.

Non-blocking warnings go under Production risks, not a fourth state. Field names and limits belong to the API reference; flag intent conflicts and leave schema validation to flux-3-generate.

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 Flux 3 Prompt Doctor AI skill do?

Use when diagnosing a FLUX 3 brief before generation. Resolve missing, conflicting, or schema-changing requirements.

Why use Flux 3 Prompt Doctor on TypingMind?

Because you install it once and use it with any model. Flux 3 Prompt Doctor 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 Flux 3 Prompt Doctor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/black-forest-labs/skills/tree/master/skills/flux-3-prompt-doctor. 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 Flux 3 Prompt Doctor?

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 Flux 3 Prompt Doctor?

As many as you like. As long as a model supports skills, you can use Flux 3 Prompt Doctor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Flux 3 Prompt Doctor AI skill free?

Yes. It is published on GitHub by black-forest-labs 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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