What problem does it solve? Turning raw search evidence into a coherent, citable research report is slow and error-prone. This Skill converts prior pipeline artifacts (evidence packets, analysis packets, goal artifacts) into structured, numbered markdown reports with source citations, without performing search or verification itself. ## Core Features & Use Cases - Structured Report Generation: Produces reports with Goal, TLDR, Report, Conclusions, Serendipity, and Reproducibility sections following a fixed template. - Sequential Numbering & Naming: Scans agent_reports/ for existing NN_*.md files and names new reports with an incremented number and topic slug. - Unicode Charts: Renders distribution bars, progress bars, status matrices, gauges, sparklines, and stacked bars for visual summaries. - Use Case: After a Searcher agent collects evidence from interview transcripts, invoke this Skill to write 03_coastal-erosion-normandy-interviews.md with inline source citations and a reproducibility table. ## Quick Start Ask the agent to write a numbered answer report from the current session's evidence packet and goal artifact into the agent_reports directory.
