Render audit findings into branded Word, PowerPoint, and HTML documents.
npx skills add https://github.com/MB-uc/mercury --skill mercury-render
Please help me install this Agent Skill. Skill: mercury-render Source: https://github.com/MB-uc/mercury/tree/main/mercury/skills/mercury-render Command: npx skills add https://github.com/MB-uc/mercury --skill mercury-render
This skill solves the friction of manually formatting audit findings into professional, branded deliverables, ensuring consistency and speed when producing reports for stakeholders.
Use the mercury-render skill to generate a branded Word document from the latest audit findings.
High-intent search queries and answers about installing and using this skill.
Automated branded document rendering converts structured audit findings into professional .docx, .pptx, and HTML reports. It uses a claim-backed composition engine to ensure all generated prose remains strictly bounded by verified evidence, preventing over-assertion in professional consulting deliverables.
Claim-backed composition in evidence-based reporting ensures all rendered prose is strictly bounded by verified evidence claims. This mechanism prevents over-assertion by mapping generated text directly to verified analysis data, maintaining rigorous scope-bounded integrity.
Yes, you can generate branded PowerPoint decks from raw website audit data using automated rendering. It produces .pptx files complete with benchmark tables and talking points, applying scope-bounded prose directly from your verified evidence claims.
Yes, automated document rendering supports IDX brand compliance by applying predefined brand standards to output. It enforces automated section ordering and consistent formatting across all generated Word, PowerPoint, and HTML reports.
You ensure scope-bounded prose generation by using a claim-backed composition engine during document rendering. This engine strictly limits automated text generation to verified evidence claims from raw analysis data, preventing over-assertion.
Limitations of using JavaScript libraries like docx, pptxgenjs, and exceljs for multi-format document rendering include potential constraints with complex layout fidelity. You must provide highly structured raw analysis data to ensure the claim-backed composition engine functions correctly.
K-Dense-AIVerify research claims against reproduced outputs from raw data.
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