potential-energy
potential-energy is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the cognitive-dividend-skill repository on GitHub. Skillspace rates potential-energy D (59/100) and it passed the safety scan; the rating is based on static analysis only.
通过识别和借助势能差(效率/规模/认知/引力),选择站上高势能位置来放大个人或组织的竞争力。适用于职业选择、创业方向判断、行业趋势分析场景。当你面临"选哪个平台/公司/行业"的决策,或想理解为什么同样努力结果差距巨大时使用此skill。不适用于已经锁定赛道只能苦干的执行阶段(此时应回到提升具体能力),也不适用于纯内部管理优化(势能是外部杠杆)。关键触发信号:"为什么我这么努力还是不行"、"选A还是选B行业"、"这个行业还有没有未来"、"怎么借势"。
- 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
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