mckinsey-issue-tree-structuring

mckinsey-issue-tree-structuring is a Structured reasoning & decision frameworks skill for AI agents, published by MichaelRochonnn in the mckinsey-bcg-consulting repository on GitHub. Skillspace rates mckinsey-issue-tree-structuring D (65/100) and it passed the safety scan; the rating is based on static analysis only.

构建符合麦肯锡标准的问题清单与议题树结构，设置2-5个一级标题（最佳为3个），并通过"其他问题"类别妥善处理异常见解。适用于构建咨询汇报大纲、MECE合规分析框架，或组织需要遵循麦肯锡结构化标准的战略演示内容。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
33

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.

View source on GitHubMichaelRochonnn/mckinsey-bcg-consulting

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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