What problem does it solve? Producing a credible long-term industry research report requires verifiable data, a defensible core thesis, and consistent structure; this Skill enforces all three through a fixed five-section framework, three-tier data grading, and scripted assembly and validation. ## Core Features & Use Cases - Structured deep research: Covers industry definition and sizing, value chain and competitive landscape, drivers and constraints, trend scenarios, and profitability quality, with every number carrying an end-of-sentence citation. - Data integrity controls: Three-tier source grading, two authorized retrieval channels (general_search and seed_finance_search), source-value verification, and explicit data-gap disclosure instead of fabrication. - Automated report pipeline: Six Markdown parts are assembled, citation-renumbered, validated, and imported into Feishu via scripts (assemble_report.py, renumber_references.py, validate_report.py, upload_report.py). - Use Case: Ask for a mid-to-long-term deep research report on the semiconductor industry; the Skill gathers multi-source evidence, drafts a judgment spine, writes the five sections, and delivers a Feishu document link. ## Quick Start Ask the assistant to produce a mid-to-long-term deep research report on a specific industry or track and deliver it as a Feishu document.
