branded-doc
Skill0 starsChanged 15 days agoApache-2.0View on GitHub
Generate professional branded HTML documents from structured content. Use when the user asks to create a proposal, contract feedback, client response, pricing sheet, or any professional document that needs branding. Triggers on: "draft a response", "create proposal", "branded doc", "feedback document", "client document", "/branded-doc".
In this repository64 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 88
When generating document content:
- Distinctive: line 89
Write naturally, not like AI output
- Distinctive: line 94
Read like a professional would write in email
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Branded Document Generator
Generate A4-ready branded HTML documents with color-coded sections, pricing tables, and RTL support.
How It Works
- Build a JSON file with the document content
- Run
bun skills/branded-doc/scripts/branded-doc.ts input.json output.html - Open the HTML in a browser and print to PDF
Quick Start
# Generate from JSON file
bun skills/branded-doc/scripts/branded-doc.ts docs.local/doc-input.json ~/Documents/output.html
# Pipe from stdin
cat docs.local/doc-input.json | bun skills/branded-doc/scripts/branded-doc.ts - ~/Documents/output.htmlJSON Schema
{
"title": "Document Title",
"date": "1 March 2026",
"recipient": "Name — Company",
"intro": ["Opening line.", "Context line."],
"sections": [
{
"num": 1,
"title": "Section Title",
"tag": "change",
"body": "Section content in natural language."
}
],
"pricing": {
"title": "Pricing",
"headers": ["Plan", "Rate", "Total"],
"rows": [["Retainer", "$100/hr", "$2,000"]],
"note": "Optional footnote."
},
"availability": "Immediately.",
"closing": "Closing line.",
"output": "~/Documents/output.html"
}Section Tags
| Tag | Label | Color | Use |
remove | Remove | Red | Delete this clause |
change | Change | Amber | Modify this clause |
add | Add | Green | Add new clause |
narrow | Narrow | Amber | Reduce scope |
note | Note | Blue | Informational |
Branding Configuration
Personal branding loads from ~/.config/branded-doc.json:
{
"name": "Your Name",
"nameHebrew": "השם שלך",
"title": "Your Title",
"email": "you@example.com",
"phone": "+1 555-000-0000",
"website": "example.com",
"logoBase64": "(optional) base64-encoded PNG/SVG image for header logo"
}Per-document override via "branding" field in input JSON.
Writing Rules
When generating document content:
- Write naturally, not like AI output
- Body text: no em dashes, use commas/periods
- Titles: em dashes OK for section titles
- Vary sentence length and structure
- No "in addition" at the start of every point
- Read like a professional would write in email
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

