AI Industry Topic Matrix Generator

Problem It Solves

Topic planning often fails when hot trends drift away from industry positioning, cross-platform posts repeat the same angles, or titles sound generic and AI-like. This skill is aimed at content-creation workflows: it chains industry configuration, hot-topic lists, and content-type rules into a reviewable topic matrix instead of loose idea fragments.

How It Works

• Reads industry configuration: extracts content types, target platforms, customer pain points, and core selling points.
• Consumes hot topics: uses the topic list produced by a hot-topic collector.
• Generates angles: calls content-brainstorm to create ideas across four types: knowledge, case stories, pain-point-driven content, and trend interpretation.
• Builds a matrix and deduplicates: removes entries with similarity above 70%, rewrites weak titles with a de-AI pass to make them more colloquial.
• Enforces output constraints: 3-5 topics per platform, titles under 25 characters, and pain-point topics making up at least 25%.

Boundaries

It depends on industry configuration and hot data. Without hot topics, it falls back to pain-point-based generation, but coverage still depends on configuration quality. It is suitable for first drafts, cross-platform angle splitting, and title deduplication, not fact checking, copyright review, or confirming that customer cases are approved for public use. Cross-platform deduplication removes repeated items and adds new angles, but commercial priority still needs human judgment.