MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It solves the problem of AI-generated slides looking like templates by extracting measurable design rules from approved decks rather than imposing a fixed brand style.
Who it is for
- Designers and brand managers
- AI agents building brand-compliant decks
- Presenters using Claude Code
- Teams needing consistent slide styling
Use cases
- Create client-ready presentations that match existing brand decks
- Automate slide generation for reporting or proposals
- Rapidly prototype slide decks with a consistent look
- Ensure text density aligns with professional designer standards
Strengths
- Extracts objective design metrics from reference decks (colors, layouts, text spacing)
- Enforces a measured word budget based on real approved decks
- Self-QA loop renders slides to images for visual inspection and correction
- No fixed template; output adapts to provided reference decks
Considerations
- Word budget ignores table content, potentially misleading for table-heavy decks
- Font embedding requires XML manipulation and may skip on certain setups
- LibreOffice QA renders substitute missing fonts, reducing visual accuracy
README quick start
Installation
Description
A Claude skill that builds PPTX decks matching your real designer decks: extracted design DNA, measured word budget, render-QA loop.
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