systems-thinking
systems-thinking is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the cognitive-dividend-skill repository on GitHub. Skillspace rates systems-thinking D (59/100) and it passed the safety scan; the rating is based on static analysis only.
从要素到关系、从局部到整体、从静态到动态地分析复杂系统。适用于问题反复出现、牵一发动全身、头痛医头无效的场景。当你发现"越努力越糟糕"或"问题总是复发"时，需要切换到系统性思维找根本解。不适用于简单的单因果问题或需要快速行动的紧急场景。关键触发信号："为什么这个问题反复出现"、"改了A反而坏了B"、"感觉陷入了死循环"。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Category is a classifier prediction; no model has read this skill 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.