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Content Creation #design #ai

md-document

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.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=alirezarezvani-claude-skills-markdown-html-skills-md-document-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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 # 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): 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 / 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 Refuses input < 100 lines. Markdown wins below the threshold (Shihipar). Refuses without onboarding. config_loader.setup_completed() must return True . Otherwise surface /cs:design-system . Single-file output. All CSS + JS inline. Only externals are fonts.googleapis.com and cdn.jsdelivr.net (Prism). Anything else is a regression. 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. WCAG-compliant tokens. Inherits the design-system's WCAG AA palette — body text ≥ 4.5:1 contrast, links iteratively walked to 4.5:1. 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) What's the document for — skim, decide, or deep-read? Recommended: name it; density follows. Canon: Shihipar; Tufte Envisioning Information . 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). 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 . Code theme — light, dark, or auto? Recommended: auto (follows OS prefers-color-scheme ). Canon: WCAG 2.2 §1.4.3. 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
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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