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Visualize Plan

Community
HazAT
visualize-plan

Turns an existing implementation plan into a polished self-contained HTML page and opens it in the browser. Use when asked to "visualize a plan", "open this plan as HTML", "make this plan visual", or present a Markdown plan visually without changing its decisions.

Overview

PublisherHazAT
Repositorypi-config
Skill namevisualize-plan
Stars
450
Forks
44
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 HazAT on GitHub. Read the source before you install it.

Installation

Install the Visualize Plan 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.
  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/HazAT/pi-config.git /tmp/pi-config
mkdir -p .claude/skills
cp -r /tmp/pi-config/skills/visualize-plan .claude/skills/visualize-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visualize Plan 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 Visualize Plan 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 Visualize Plan 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.

Visualize Plan

Transform an existing plan into a faithful, polished HTML explanation. Do not review, rewrite, execute, or expand the plan into new requirements.

Step 1: Resolve the plan

Resolve the plan source in this order:

  1. If the input names a readable file, use that file. Treat the full input as one path after removing optional surrounding quotes or a leading @.
  2. If the input is empty, derive the session file (PI_SESSION_FILE, or in Claude Code $HOME/.claude/projects/<project slug>/$CLAUDE_CODE_SESSION_ID.jsonl with / and . in the project path mapped to -) and use ${SESSION_FILE%.jsonl}.plan.md when it exists.
  3. If the input contains substantial inline plan content, use it directly.
  4. Otherwise, stop and ask for a plan file path or pasted plan.

For path-like input that does not exist, report the missing path; do not reinterpret it as plan text. Read the complete plan before generating anything.

Step 2: Load the visual system

Load the visual-explainer skill and follow its full-HTML workflow, design rules, reference routing, and delivery checklist. Do not use quick mode: implementation plans need custom hierarchy and composition.

Use only the source plan unless the user explicitly asks to verify it against the repository. Do not research the codebase merely because the plan mentions files or symbols.

Step 3: Inventory the source

Create a private coverage inventory of every substantive source section, including:

  • goal, intent, and selected approach;
  • in-scope and out-of-scope boundaries;
  • architecture, data flow, or behavior changes actually stated in the plan;
  • implementation phases and dependencies;
  • affected files, interfaces, contracts, and migrations;
  • acceptance criteria and verification commands;
  • assumptions, risks, rejected alternatives, and repository evidence.

Preserve exact commands, paths, identifiers, and acceptance-criterion IDs. Never invent missing architecture, dependencies, evidence, or requirements. Use cards or prose when the source does not justify a diagram.

Step 4: Compose the page

Choose a distinctive editorial, blueprint, paper/ink, or IDE-inspired direction suited to the plan. Make the first viewport communicate the goal, selected approach, scope, and implementation shape.

Prefer this hierarchy when the source supports it:

  1. executive overview and scope;
  2. architecture or behavior map;
  3. ordered implementation sequence with dependencies;
  4. contracts and affected-file map;
  5. acceptance criteria and test/verification plan;
  6. risks, assumptions, evidence, and rejected alternatives.

Use Mermaid only for relationships or flow present in the source. Use semantic tables for matrices and compact cards or timelines for implementation work. Keep dense evidence and reference material collapsible. Preserve all substantive source content even when this requires additional sections.

Step 5: Render and open

Generate one complete self-contained HTML document. Derive a descriptive kebab-case filename from the plan title, ending in -visual-plan.html. Avoid overwriting an existing output by adding a short numeric suffix when needed.

Call visual_explainer with:

  • action: "render";
  • the basename in filename;
  • the complete document in html;
  • open: true;
  • viewer: "browser".

The renderer writes under ~/.agent/diagrams/. Do not create a Markdown companion unless requested.

Step 6: Verify and report

Confirm the render result reports the output path and a dispatched browser open. Confirm the HTML file exists. If browser opening fails, report the failure and provide the file path without claiming it opened.

Reply with only a concise result: the plan title, output path, and whether the browser open was dispatched.

Completion criteria

  • The page is faithful to the supplied plan and introduces no new decisions.
  • Every substantive plan section appears in the page.
  • The HTML is self-contained, readable, responsive, and visually intentional.
  • The file exists under ~/.agent/diagrams/ and browser-open status is reported accurately.

Frequently asked questions

What does the Visualize Plan AI skill do?

Turns an existing implementation plan into a polished self-contained HTML page and opens it in the browser. Use when asked to "visualize a plan", "open this plan as HTML", "make this plan visual", or present a Markdown plan visually without changing its decisions.

Why use Visualize Plan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HazAT/pi-config/tree/main/skills/visualize-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visualize Plan?

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 Visualize Plan?

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

Is the Visualize Plan AI skill free?

Yes. It is published on GitHub by HazAT 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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