McKinsey & BCG Consulting Skill Library
This is the hub skill for the consulting-method library. It coordinates 75 focused sub-skills from the two source libraries:
麦肯锡方法麦肯锡 & 波士顿 - 解决问题方法和创造价值技巧
Use this hub when the user describes a broad business, strategy, execution, communication, or career problem and may need more than one framework.
Operating Rule
First classify the user's request, then load only the needed child skill files. Do not load every sub-skill.
- Identify the situation type: problem solving, research, strategy, communication, execution, people dynamics, operations, growth, or career.
- Select 1-4 child skills from the routing table below.
- Read each selected child
SKILL.md; read itsreferences/files only if the child skill points to a needed example/template. - Apply the frameworks to the user's concrete context. State assumptions, separate facts from hypotheses, and avoid presenting framework labels as a substitute for judgment.
- For complex work, produce an actionable consulting output: issue tree, hypotheses, evidence plan, recommendation, execution plan, stakeholder plan, or decision memo.
Quick Routing
Use these as the first-pass entry points:
| User need | Start with | Often combine with |
|---|---|---|
| Define a fuzzy business problem | mckinsey-problem-solving-methodology | mckinsey-issue-tree-structuring, mece-compliance-validation |
| Build an issue tree or analysis structure | structured-problem-solving-mckinsey | mckinsey-issue-tree-structuring, key-driver-analysis |
| Validate MECE logic | mece-compliance-validation | mckinsey-problem-solving-methodology-2 |
| Prioritize many initiatives | impact-speed-prioritization-matrix | pareto-analysis-resource-optimization, work-prioritization |
| Analyze market strategy | 3c-analysis-overlap-dynamics | external-forces-analysis, dynamic-strategic-positioning |
| Analyze data without false correlation traps | hypothesis-driven-data-analysis | fact-creation-methodologies, fact-based-research-mckinsey |
| Prepare a client or executive presentation | consulting-proposal-structures | mckinsey-communication-principles, effective-presentation-communication |
| Run interviews or gather facts | expert-interviewing-mckinsey | interview-techniques, mckinsey-research-methodology |
| Move from recommendation to implementation | mckinsey-project-lifecycle | project-execution-management, change-management-implementation, implementation-scaling-motivation-strategy |
| Improve operations or manufacturing | qcd-issue-tree-production-analysis | toyota-stop-valve-protocol, process-standardization-for-leverage |
| Manage stakeholders or client buy-in | consulting-client-engagement | difficult-stakeholder-management, esg-stakeholder-management |
| Build or manage a consulting team | team-facilitation-mckinsey | team-management-and-mobilization, team-cohesion-management |
| Improve personal consulting effectiveness | mckinsey-professional-principles | motivation-flow-state-management, left-right-brain-connectivity |
| Navigate career or organization politics | mckinsey-organization-dynamics | active-mentor-finding-management, career-expectation-management |
Reference Navigation
- Read
references/knowledge-graph.mdwhen you need the full domain map and dependency graph. - Read
references/skill-index.mdwhen you need the complete list of child skills and their best-use cases. - Read
references/workflow-compositions.mdwhen the task spans multiple phases and you need a recommended multi-skill sequence.
Output Standards
Default to a concise consulting work product:
- Situation: the decision or problem in one paragraph.
- Structure: issue tree, options, or decision matrix.
- Analysis: facts, hypotheses, risks, and unknowns.
- Recommendation: the highest-leverage action with rationale.
- Next steps: owner, timing, evidence to collect, and stakeholder moves.
When the user asks for brainstorming, facilitation, interview scripts, proposal pages, project plans, or career coaching, adapt the output format to that artifact.
Guardrails
- Use these frameworks as professional heuristics, not as proof of correctness.
- Do not invent proprietary McKinsey or BCG claims. If a point is inferred from the local library, say it as a framework-derived recommendation.
- Prefer the user's real constraints over textbook completeness.
- If the task is high-stakes, call out what should be verified with current data, legal/financial advice, or primary sources.


