incorporating-research

What problem does it solve?

Incorporating external research into existing documents often introduces citation artifacts, AI-style prose, irrelevant sections, and hallucinated claims that break the document's voice and structure; this Skill triages incoming research, strips artifacts, preserves tone and formatting, and prevents accidental edits before user confirmation.

Core Features & Use Cases

• Triage and extract: Separates relevant facts from noise and citation artifacts (e.g., [1][2], "Sources:", URL lists).
• Mapping and placement: Decides whether content becomes a new section, inline addition, appendix, or replacement and detects duplicates or conflicts.
• Safety and verification: Flags hallucinations, contradictions, and scope mismatches and requires explicit user approval before editing.
• Voice preservation: Normalizes formatting and adapts inserted prose to match header levels, list styles, and tone.
• Use cases: Merging Perplexity or ChatGPT outputs into technical docs, adding web-research findings to a wiki, or appending vetted data to product proposals.

Quick Start

Incorporate the pasted Perplexity research into docs/hardware-procurement.md by triaging artifacts, preserving the document's voice, and requesting your confirmation before making edits.