.claude/skills/tech-evolution-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
基于 TRIZ 11 进化路线 + SVOP 功能化 + patsnap 四轨检索(专利+论文)的技术进化趋势分析 7 步流水线。当用户给出一个产品名称(如智能手表、AR 眼镜、扫地机器人、新能源车电池等)并希望识别该产品的进化方向、空白点、跨域类比候选、3-5-10 年下一代形态预测、灰犀牛与黑天鹅技术信号时调用。触发关键词:技术进化、进化趋势、下一代形态、TRIZ 进化树、空白点、跨域类比、技术路线图、黑天鹅信号、灰犀牛技术、技术预测
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.claude/skills/tech-evolution-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/tech-evolution-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/tech-evolution-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:3310ff205e56a8fe681488199bd13bd2a31a92a0d3cbbaf1bd2e53bf2522be4eassets/forest/render_forest.pyassets/forest/triz_forest_common.pyassets/mindmap/example_mindmap_data_plc.jsonassets/mindmap/render_mindmap.pyassets/report/report_skeleton_mckinsey.htmlreferences/step1-2-components-svop.mdreferences/step3-double-track-search.mdreferences/step4-multi-dim-scoring.mdreferences/step5-triz-labeling.mdreferences/step6-evolution-tree.mdreferences/step7-prediction-report.mdskill-card.mdSKILL.mdtech-evolution-analysis 1.0.0 - Initial release featuring a 7-step analytical pipeline for product technology evolution, based on TRIZ 11 evolution paths, SVOP functional abstraction, and four-track (patent/paper, in-domain/cross-domain) retrieval. - Supports structured system decomposition, high-value filtering, TRIZ-based mapping, evolution forest visualization, and 3/5/10 year future predictions, including "gray rhino" and "black swan" event classification. - Standardized intermediate and final outputs (including diagrams and McKinsey-style report) with reusable asset templates. - Requires integration with PatSnap MCP service for live data; provides methodological framework if unconfigured. - Detailed trigger scenarios and step-by-step user confirmation workflow included.