klaywang24/interactive-field-guide-skill

An AI research “operating system” that turns long agent-led research conversations into structured, interactive artifacts. It’s used by investors, industry strategists, engineers, product teams and research groups who need repeatable, auditable outputs (HTML/Markdown/Notion/Slack/PPT). Key points: - Purpose: encode a research discipline (modes, personas, sourcing tiers, counter‑consensus, falsifiability) as a reusable framework that produces a stable content schema plus replaceable presentation. - Users: analysts, funds, startups, strategy teams, engineers. - Modes: Generate, Discovery, Critique, Refresh, Compare, Drill‑down. - Personas: Tier‑2 Investor, Industry Strategist, Engineer, Competitor (plus Tier‑1 Investor, CEO, Disruption Scout). - Architecture: three layers — (1) Research workflow (core IP), (2) Content schema (stable data slots), (3) Presentation template (replaceable; bring your own). - Extensibility: swap templates, adapt section structure, output formats. - v3.1: seven opt‑in visual components (stack‑tier, entity‑card, tab‑strip/player‑panel, synthesis band, counter‑box, uncertain markers, falsifiability trigger) for richer presentations.

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