What problem does it solve? Product decisions often rely on scattered research, unverified competitor claims, and reports that summarize information without supporting a concrete choice. This Skill produces decision-oriented product analysis reports where every key fact is traceable to a source, evidence is separated from inference, and conclusions include explicit trade-offs, non-goals, and validation plans. ## Core Features & Use Cases - Decision-driven analysis paths: Selects the minimal analysis modules for market entry, competitive research, existing product adjustment, positioning, or capability roadmap decisions instead of applying a fixed template. - Evidence ledger with fact gates: Assigns fact IDs to atomic claims, classifies them as verified facts, user-provided data, local testing, inference, or hypotheses, and blocks unsourced claims from scoring or conclusions. - Feishu report delivery with HTML5 visuals: Writes the full report into a Feishu cloud document and embeds single-file HTML positioning maps and capability roadmaps built from the included templates. - Use Case: Ask whether to enter a specific market segment; the Skill researches competitors, verifies claims about pricing, platforms, and models, then delivers a Feishu report with an executive summary, comparison tables, a positioning map, and a phased validation plan. ## Quick Start Analyze whether we should enter the AI transcription market for remote teams and write the evidence-based report with a positioning map into a new Feishu document.
