md-document

$npx mdskill add alirezarezvani/claude-skills/md-document

Converts long-form markdown into interactive single-file HTML.

  • Generates specs, RFCs, and reports with sticky navigation.
  • Depends on markdown-html-orchestrator and design-system config.
  • Executes only after onboarding completes successfully.
  • Delivers lightweight HTML with embedded CSS and JS.

SKILL.md

.github/skills/md-documentView on GitHub ↗
---
name: md-document
description: Converts long-form markdown (specs, RFCs, reports, plans, explainers) into a single-file, lightly-interactive HTML document with sticky TOC, scrollspy, search filter, code-copy buttons, and design-system-driven brand tokens. Triggers when the markdown-html-orchestrator classifies an input as DOCUMENT, or when invoked directly via /cs:md-document. Reads the design-system config via config_loader.py and inlines the user's 12 derived CSS custom properties; refuses to render if onboarding hasn't run. Single-file output — Google Fonts + Prism.js CDN are the only externals; no framework runtime, no build step. Use after orchestrator routing or after design-system onboarding is confirmed.
version: 2.10.1
author: Alireza Rezvani
license: MIT
tags: [markdown, html, documentation, single-file, toc, scrollspy, search, code-copy, design-system]
compatible_tools: [claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli]
---

# md-document — Long-form Markdown to HTML

The general-purpose converter — handles the 90% case Shihipar describes (specs, plans, RFCs, reports, explainers). Three stdlib tools pipeline together:

```
markdown_parser.py  →  html_renderer.py  →  interactivity_injector.py
   (md → JSON AST)    (AST + tokens → HTML)    (HTML + JS behavior)
```

Output is one `.html` file with sticky TOC, search filter, scrollspy, code-copy buttons, and the user's 12 derived brand tokens. Externals limited to Google Fonts CSS + Prism.js CDN.

## When to invoke

| Symptom | Action |
|---|---|
| `markdown-html-orchestrator` routes input as DOCUMENT | Invoke this skill |
| User runs `/cs:md-document <path>.md` directly | Invoke this skill |
| User says "convert this spec/report/RFC/plan to HTML" | Invoke this skill |
| Input is a code review (has ` ```diff ` blocks) | Route to `md-review` instead |
| Input is a slide deck (clear `---` boundaries) | Route to `md-slides` instead |
| Input is < 100 lines | Refuse (Shihipar threshold — markdown still wins) |
| Design-system not onboarded | Refuse, surface `/cs:design-system` |

## Pipeline

```bash
# 1. Parse markdown → JSON AST
python3 markdown-html/skills/md-document/scripts/markdown_parser.py \
    --input <path>.md --output sections.json

# 2. Render AST + design-system config → single-file HTML
python3 markdown-html/skills/md-document/scripts/html_renderer.py \
    --sections sections.json --output document.html

# 3. Inject lightweight JS (search, copycode, smoothscroll, scrollspy)
python3 markdown-html/skills/md-document/scripts/interactivity_injector.py \
    --file document.html \
    --features search,copycode,smoothscroll,scrollspy
```

Or all-in-one (sample render):

```bash
python3 markdown-html/skills/md-document/scripts/html_renderer.py --sample \
  | python3 markdown-html/skills/md-document/scripts/interactivity_injector.py \
      --file /dev/stdin --output document.html
```

## What gets rendered

CommonMark subset sufficient for agent-generated artifacts:
- Headings H1-H6 (every H2+ gets an anchor id and TOC entry)
- Paragraphs with inline **bold** / *italic* / `code` / [links](url) / ![images](url)
- Fenced code blocks (` ```python `) with Prism.js highlighting on demand
- GFM tables with per-column alignment
- GFM callouts (`> [!NOTE]`, `> [!TIP]`, `> [!IMPORTANT]`, `> [!WARNING]`, `> [!CAUTION]`)
- Blockquotes, ordered + unordered lists (single-level), horizontal rules

Out of scope: nested lists, HTML inlines, footnotes, definition lists, task list checkboxes (rendered as plain text), reference-style links.

## Hard rules

1. **Refuses input < 100 lines.** Markdown wins below the threshold (Shihipar).
2. **Refuses without onboarding.** `config_loader.setup_completed()` must return `True`. Otherwise surface `/cs:design-system`.
3. **Single-file output.** All CSS + JS inline. Only externals are `fonts.googleapis.com` and `cdn.jsdelivr.net` (Prism). Anything else is a regression.
4. **Customization must change behavior.** `design_style=editorial` produces 720px-wide layout with 1.75 line-height; `playful` rounds the callouts and adds shadow; `technical` is dense with 0.875rem code. Smoke-tested.
5. **WCAG-compliant tokens.** Inherits the design-system's WCAG AA palette — body text ≥ 4.5:1 contrast, links iteratively walked to 4.5:1.
6. **Idempotent injection.** Re-injecting interactivity is a no-op (marker check). Re-rendering with a different design_style works cleanly.

## Forcing-question library (Matt Pocock grill discipline)

1. **What's the document for — skim, decide, or deep-read?** Recommended: name it; density follows. Canon: Shihipar; Tufte *Envisioning Information*.
2. **Sticky-sidebar TOC or collapsible-top?** Recommended: sticky-sidebar for > 800 words / 4+ H2s; collapsible-top for shorter mobile-first docs. Canon: NN/g *TOC Best Practices* (2023).
3. **All four interactive features, or a subset?** Recommended: all four — none of them cost more than ~1 KB. Canon: Wattenberger *Why React isn't great for actually building websites*.
4. **Code theme — light, dark, or auto?** Recommended: auto (follows OS `prefers-color-scheme`). Canon: WCAG 2.2 §1.4.3.
5. **Does the document have a clear H1 title?** Recommended: yes — H1 becomes the page `<title>` and is excluded from the TOC.

## Distinct from

- **`md-review`** — that converter renders diff blocks + severity-tagged margin annotations. This one renders prose + tables + code + callouts.
- **`md-slides`** — that converter splits on `---` boundaries into slides. This one renders one continuous document.
- **`marketing/landing/`** — that generates landing pages from scratch (no markdown input). This converts existing markdown.

## Output artifact

`{default_output_dir}/doc-{slug}.html` (path resolved by orchestrator's `output_path_resolver.py`; collision suffix `-2`, `-3`, … by default).

## References

- Shihipar — *Claude Code HTML output* (Medium, 2026)
- Tufte — *Envisioning Information* (1990), ch. 2 "Micro/Macro Readings"
- NN/g — *Table of Contents Best Practices* (2023)
- WCAG 2.2 — §1.4.3 contrast, §2.4.5 multiple ways
- Wattenberger — *Why React isn't great for actually building websites*
- See `references/` for full citations

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.