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Vision

Organization
ssheleg
vision

Use when a project needs its product vision (what it is, why it exists, what it refuses to become), written to docs/ux/vision.md with an alignment rule. Triggers: "vision" / "видение", "product vision" / "продуктовое видение", "define product direction". Not for personas or jobs (ux-foundation).

Overview

Publisherssheleg
Repositorysuper-ux
Skill namevision
Stars
6
Forks
0
Bundled files
11
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.

  • 11 bundled files

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

  • Open source

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

Installation

Install the Vision 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/ssheleg/super-ux/tree/main/plugins/super-ux/skills/vision
  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/ssheleg/super-ux.git /tmp/super-ux
mkdir -p .claude/skills
cp -r /tmp/super-ux/plugins/super-ux/skills/vision .claude/skills/vision
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vision 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 Vision 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 Vision 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.

vision — what the product is, and what it refuses to become

Part of super-ux — see system-map.md for the whole pipeline. After writing the document, run python3 docs/ux/lint.py.

The layer above ux-foundation. Foundation answers who uses the product and why; vision answers what the product is and what it refuses to become. Without it, "should we build this?" has no answer that outlives the person who last had an opinion.

Do not confuse it with scenarios.md, the other layer whose name starts with "what": scenarios say what the product does, step by step. A feature can be perfectly scenario'd and still violate the anti-vision.

This skill produces two things, and the second is the point.

  1. docs/ux/vision.md — the document.
  2. A vision-alignment rule in the project's own instruction file, so every later feature gets checked against the vision instead of the vision being written once and never read.

A vision nothing reads is a document, not a constraint.

Fits the chain: vision → foundation (personas, JTBD, journeys, stories) → flows → scenarios → audit. Each layer traces up to the one above it. The chain has a spoken opt-out: the operator declines it by saying "no scenarios" / «без сценариев» — proceed without those layers and say so.

Triggers

The phrases that route to this skill, in English and Russian. The description keeps only the strongest of them so the skill listing stays inside its budget (2026-10-20); the family routing hook matches this list.

"vision" / "видение", "product vision" / "продуктовое видение", "what is this product about", "define product direction", "write a vision", new project with no direction, a feature that feels off-strategy.

Step 0 — read the project, not its README

Before writing a word:

  1. README.md, ARCHITECTURE.md, ROADMAP.md, CHANGELOG.md, everything in docs/.
  2. Key source: entry points, main services, the schema, the routing table.
  3. Marketing surfaces if they exist — landing, pricing, features.
  4. package.json / pyproject.toml / Cargo.toml for what it actually depends on.
  5. The live UI. What the product does, not what it says it does.
  6. If docs/ux/foundation.md exists, read it — the vision must not contradict the personas and jobs already agreed.

A vision written from the README alone describes the README. The gap between what a project says it is and what its code does is usually where the real vision is hiding, and naming that gap out loud is often the most valuable thing this skill does.

Step 1 — the transformation

Answer internally before writing:

User BEFORE this product exists →  [chaos / complexity / pain]
User AFTER  this product exists →  [clarity / simplicity / power]

Everything below flows from this. If you cannot state it, you do not yet know the product well enough to write its vision — go back to step 0.

Step 2 — write docs/ux/vision.md in nine layers

Every layer is mandatory. Write in the project's documentation language — and the vision's nine sections are identified by their NUMBER, not their English title: write ## 6. <title in your language>, never translate the number away. The section contract is scenario-format.md → docs/ux/vision.md — read it before writing the vision, because the linter keys on the number and a missing section (e.g. anti-vision) FAILs regardless of language.

1. Essence. One sentence. [Product] is [type of system] that changes how [user] [does X]. No feature names, no UI, no technology. The test: if the product were rebuilt from scratch on a different stack, would this sentence still be true? If not, it names an implementation, not an essence.

2. Core idea. Not a problem statement — an observation about the world.

[X] is abundant.
[Y] is scarce.
→ this product bridges the gap.

One observation, not a list. "Information is abundant, clarity is scarce."

3. What the system does. Continuous behaviour, verbs not nouns: observes … understands … transforms … surfaces …. No feature names. "Has a dashboard" is not behaviour; "surfaces contradictions between sources" is.

4. The user's role. What the user becomes when using it. Not "the user clicks" — the user directs, judges, decides. If the user's role is indistinguishable from operating any other tool, the vision is not yet specific.

5. Principles. Three to five, each in the form we do X, not Y, where Y is something a reasonable team would actually choose. A principle with no rejected alternative is a slogan.

6. Anti-vision. What this product refuses to become, explicitly. This is the layer teams skip and the only one that ever settles an argument. Name the adjacent products it could drift into and say no to each.

7. Horizon. Where this goes in two to three years, as a direction, not a roadmap. Roadmaps belong in the tracker and go stale in a quarter.

8. The one sentence. If someone remembers exactly one thing, this is it.

9. The alignment test. Three to five questions any proposed feature must pass. These are what the rule in step 4 will actually run.

Step 3 — validate before you ship it

Check every one, and fix rather than rationalize:

  • Essence survives a total rewrite on different technology
  • No layer names a feature, a screen, or a vendor
  • The anti-vision names real alternatives, not strawmen
  • Principles have a rejected side that someone might genuinely have picked
  • Nothing contradicts docs/ux/foundation.md — and if something does, that is a finding to raise, not to quietly smooth over
  • A stranger could use the alignment test to reject a plausible feature

Step 4 — install the alignment rule

Write the rule into the file the running HOST actually reads — decide the target by host capability FIRST: CLAUDE.md for Claude Code, AGENTS.md for Codex and opencode, GEMINI.md for Gemini. Detect the active host by its marker directory (.claude/, .codex/, .gemini/); an explicit project target (a file already carrying the rule) takes priority over the default. When NONE exists, create the one THIS host reads — AGENTS.md on a Codex project, GEMINI.md on a Gemini one, CLAUDE.md only when the host is Claude or undetectable. Never hardcode CLAUDE.md — a rule installed where the running agent cannot see it is worse than no rule, because everyone believes it is covered.

A mixed-host project (more than one marker present) gets the rule in EACH active host's file, every target marked explicitly, so no host is left uncovered.

Idempotent: if the heading is already present in a host's file, update the block in place rather than appending a second copy; a repeat run writes nothing new.

markdown
## Vision alignment — hard rule (super-ux)

Before planning any new feature, capability or significant change, check it
against `docs/ux/vision.md` — specifically the **anti-vision** and the
**alignment test**.

**Aligned** → proceed, and say in one line which part of the vision it serves.

**Misaligned** → stop and say so before writing code:
1. Name the conflict — which layer it contradicts, quoting that layer.
2. Offer two paths: (a) reshape the feature to fit, with the specific change;
   (b) amend the vision, saying which layer changes and what that costs.
3. Wait for the decision. Do not pick one silently.

**Do NOT trigger for:** bug fixes, refactors, dependency work, tests,
documentation, or anything with no user-facing surface. A vision check on a
typo fix is how a team learns to skip the check that matters.

Step 5 — point the README at it

One line under the project's overview linking docs/ux/vision.md. A vision nobody can find from the front door is a vision nobody reads.

Common mistakes

MistakeWhy it breaks
Essence names the technologyit stops being true at the first rewrite
Principles with no rejected side"we value quality" settles no argument
No anti-visionthe one layer that decides scope questions, missing
Horizon written as a roadmapstale in a quarter, and then the whole document reads as stale
Vision contradicts foundation.mdtwo sources of truth, and teams follow whichever they read last
The rule installed at one agent's hardcoded pathinvisible to the agent actually running; nobody notices, because absence looks identical to compliance
Written from the READMEdescribes the README

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 Vision AI skill do?

Use when a project needs its product vision (what it is, why it exists, what it refuses to become), written to docs/ux/vision.md with an alignment rule. Triggers: "vision" / "видение", "product vision" / "продуктовое видение", "define product direction". Not for personas or jobs (ux-foundation).

Why use Vision on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ssheleg/super-ux/tree/main/plugins/super-ux/skills/vision. 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 Vision?

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 Vision?

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

Is the Vision AI skill free?

Yes. It is published on GitHub by ssheleg 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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