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30x-mckinsey-research-deck

SkillGitHubDormantPython

McKinsey-grade market research decks for Claude Code — adversarially verified numbers, 15 McKinsey methodologies as executable workflow, multi-agent pipeline. 一条指令产出敢被挑战的麦肯锡级市场研究 deck。

Description provenance: Original source

Open canonical source

Measured: Oct 22, 2026 · 70 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Code assistants

Installation

git clone https://github.com/norahe0304-art/30x-mckinsey-research-deck ~/.claude/skills/30x-mckinsey-research-deck

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/norahe0304-art/30x-mckinsey-research-deck

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

52stars · Oct 22, 2026

+9 (+20.9 %)since Sep 22, 2026

Sep 22, 2026 : 43 starsSep 23, 2026 : 44 starsSep 24, 2026 : 44 starsSep 25, 2026 : 44 starsSep 26, 2026 : 44 starsSep 27, 2026 : 45 starsSep 28, 2026 : 45 starsSep 29, 2026 : 45 starsSep 30, 2026 : 46 starsOct 1, 2026 : 46 starsOct 2, 2026 : 46 starsOct 3, 2026 : 46 starsOct 4, 2026 : 46 starsOct 5, 2026 : 46 starsOct 6, 2026 : 46 starsOct 7, 2026 : 46 starsOct 8, 2026 : 46 starsOct 9, 2026 : 46 starsOct 10, 2026 : 46 starsOct 11, 2026 : 46 starsOct 12, 2026 : 46 starsOct 13, 2026 : 46 starsOct 14, 2026 : 48 starsOct 15, 2026 : 49 starsOct 16, 2026 : 49 starsOct 17, 2026 : 49 starsOct 18, 2026 : 50 starsOct 20, 2026 : 50 starsOct 21, 2026 : 51 starsOct 22, 2026 : 52 stars
Exact values · 30 readings
MeasuredstarsChange
52+1
51+1
500
50+1
490
490
49+1
48+2
460
460
460
460
460
460
460
460
460
460
460
460
460
46+1
450
450
45+1
440
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440
44+1
43·