brand-docs
Eliminates manual document formatting and brand-compliance overhead by automating template-aware document generation, reducing time spent on style enforcemen…
BrandDocs is a set of agent skills that learn your existing Word, PowerPoint and Excel templates and generate new on-brand documents from them. Unlike generic AI document generators, it preserves brand, structure, styles and formulas by construction. Built for Claude Code, Codex and compatible AI agents.
- Generate new Word documents matching your company's existing brand templates and styles automatically.
- Create PowerPoint presentations that preserve your organization's formatting, colors, and layout standards.
- Produce Excel spreadsheets with formulas and structures copied from your established financial or data templates.
Eliminates manual document formatting and brand-compliance overhead by automating template-aware document generation, reducing time spent on style enforcement and structural consistency across teams.
Enterprise teams managing standardized documents (proposals, reports, presentations) who need consistent branding without custom development.
https://github.com/ferdinandobons/brand-docs
By ferdinandobons
How to Get It
/plugin marketplace add ferdinandobons/brand-docs, then /plugin install brand-docs@brand-docs
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me generate new Word documents matching my company's existing brand templates and styles automatically
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Why Your Brand Doesn't Appear in ChatGPT — Hacker News · 2 pts
- Study the decisions, the brand doesn’t really exist — Hacker News · 1 pts
- A Brand Does Not Make The Company — Hacker News · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 117 GitHub stars; contributors unknown; last commit -1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 117 GitHub stars; contributors unknown; last commit -1d ago; license MIT.