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Wiki Viewer

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rohitg00
wiki-viewer

Render a self-contained HTML viewer for a pro-workflow wiki. Pages, sources, claims, seed queue, page-link graph and full-text search all in one file. No external dependencies, no JS framework, S3-uploadable. Use when the user wants to browse a wiki visually, share its current state with someone, audit research progress, or hand off a knowledge base. Inspired by Thariq Shihipar's "Unreasonable Effectiveness of HTML" — favors information density and shareability over markdown-only outputs.

Overview

Publisherrohitg00
Repositorypro-workflow
Skill namewiki-viewer
Stars
2.9K
Forks
286
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Wiki Viewer 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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/wiki-viewer .claude/skills/wiki-viewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wiki Viewer 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 Wiki Viewer 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 Wiki Viewer 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.

Wiki Viewer

Single-file HTML view of a pro-workflow wiki. Reads ~/.pro-workflow/data.db, dumps the wiki into one self-contained HTML document with in-browser search, link graph and a seed-queue panel.

Why HTML, not markdown

  • Information density — pages, sources, claims, seeds, link graph in one viewport
  • Visual clarity — long wikis are unreadable as raw markdown; HTML scales
  • Shareability — upload to S3, send the URL; recipient does not need pro-workflow installed
  • Two-way interaction — "copy as seed" buttons turn open questions into seed queue prompts you can paste back into Claude Code
  • Auditable — quick visual proof that the auto-research loop produced something useful

When to use

  • After a /wiki research run, to see what it built
  • Before sharing a wiki with a teammate or with leadership
  • Code review: render a codebase-flavored wiki for an unfamiliar module
  • Incident review: render an incident wiki for a post-mortem readout
  • Periodic audits: stale-claim detection, orphan-page review

Commands

node $SKILL_ROOT/scripts/render.js <slug> [--out <path>] [--theme dark|light]

Defaults:

  • output: <wiki-root>/derived/viewer.html
  • theme: dark

What ships in the file

PanelContents
Headerwiki slug, flavor, scope, root path, last-update timestamp, page count, source count, kill-switch status
Sidebarpage list grouped by page_type, in-page filter input
Mainselected-page detail: title, summary, full markdown content (rendered), inline citations resolve to source rows
Sourcestable of every wiki_sources row + manual sources.md rows
Seedsseed-queue table grouped by status; "copy as research prompt" button per pending seed
Link graphSVG force-layout of cross-page citations + back-links
Searchin-browser substring + token search over title/summary/content
Footermeta: schema versions, embedding model if present, generator version

Self-contained

No CDN, no external fonts, no <script src=>. Inline CSS, inline SVG, inline JS only. Result is a single .html file that opens locally or from any static host.

Compose with the rest

bash
# Generate after auto-research run completes
/wiki research agent-memory --max-pages 5
node skills/wiki-viewer/scripts/render.js agent-memory
open ~/.pro-workflow/wikis/agent-memory/derived/viewer.html

# Hand off to a teammate
aws s3 cp ~/.pro-workflow/wikis/agent-memory/derived/viewer.html s3://my-bucket/agent-memory.html --acl public-read

Design principles

  1. Type-first — every panel reads as text; visualizations are auxiliary, not load-bearing.
  2. Zero decoration — no gradients, no glow, no atmospheric backgrounds.
  3. Color is meaning — Anthropic coral marks the active page and CTAs only.
  4. Print-friendly@media print collapses sidebars so the markdown content prints clean.

Limits (initial release)

  • Markdown rendering is a small in-file parser (headings, lists, code blocks, links, blockquotes, tables, footnote citations). No HTML-in-markdown.
  • Link graph is precomputed and serialized as SVG; no live re-layout.
  • Search is substring + tokenized AND match. BM25 stays in SQLite; the viewer is a snapshot.
  • Re-render after each batch of changes. The file is not live.

Future hooks (not in initial release)

  • --include-council to bundle every linked council transcript inline
  • --include-survey to bundle generated surveys
  • "Copy as council prompt" buttons next to claims tagged contested
  • Diff view: --against <previous.html> to highlight new claims since a prior render

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 Wiki Viewer AI skill do?

Render a self-contained HTML viewer for a pro-workflow wiki. Pages, sources, claims, seed queue, page-link graph and full-text search all in one file. No external dependencies, no JS framework, S3-uploadable. Use when the user wants to browse a wiki visually, share its current state with someone, audit research progress, or hand off a knowledge base. Inspired by Thariq Shihipar's "Unreasonable Effectiveness of HTML" — favors information density and shareability over markdown-only outputs.

Why use Wiki Viewer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/wiki-viewer. 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 Wiki Viewer?

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 Wiki Viewer?

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

Is the Wiki Viewer AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. 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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