innovation-method
innovation-method is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the cognitive-dividend-skill repository on GitHub. Skillspace rates innovation-method D (59/100) and it passed the safety scan; the rating is based on static analysis only.
用两种系统化方法实现创新：重组式创新（向外收集元素并重新组合）和突变式创新（向内拆解并修改已有结构）。所有创新必须同时满足三要素：新元素+价值增量+可实现性。适用于需要突破现有框架、寻找新产品/新方案、或解决"创新靠碰运气"问题的场景。不适用于纯执行性的优化改进（那不需要新元素）。关键触发信号："需要新想法"、"怎么创新"、"创意枯竭"、"产品同质化严重"。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.