Management Consulting

SkillFiles & storage

Consulting engagement lifecycle in one skill: strategy and framework analysis, financial modeling, proposals and pricing, implementation planning, due diligence, change management, governance, and client deliverables. Use for any management-consulting task, then load the matching reference file below.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Management Consulting skill

What this skill tells your AI

The instructions your AI receives, as published by anotb/management-consulting-plugin in dist/dispatcher/SKILL.md and read by ahel’s review.

Skills for the full consulting engagement lifecycle, from problem structuring through implementation and close-out.


Reference Guide

When the user's request matches a topic below, read the corresponding reference file and follow its instructions.

TopicReference FileWhen to Load
Strategic Analysisreferences/strategic-analysis.mdIssue trees, hypothesis development, framework application (Five Forces, PESTLE, 7S, VRIO), cross-framework synthesis, competitive positioning
Financial Modelingreferences/financial-modeling.mdBusiness cases, ROI/NPV/IRR, scenario analysis, cost-benefit, TCO, sensitivity analysis, break-even
Proposal Developmentreferences/proposal-development.mdRFP analysis, proposal writing, SOW creation, pitch decks, value propositions, oral defense
Engagement Setupreferences/engagement-setup.mdKickoff design, discovery planning, stakeholder mapping, standing up workstreams, the first two weeks
Engagement Pricingreferences/engagement-pricing.mdFee structures (fixed, T&M, value-based, retainer), rate cards, engagement economics, commercial terms
Implementation Planningreferences/implementation-planning.mdOptions evaluation, business cases, roadmaps, phased plans, workstreams, dependencies, program recovery
Due Diligencereferences/due-diligence.mdCommercial, operational, financial, strategic, and technology DD, integration planning, synergy quantification
Change Managementreferences/change-management.mdTransition planning, stakeholder engagement, resistance management, communication strategy, adoption measurement
Process Excellencereferences/process-excellence.mdDMAIC, value stream mapping, root cause analysis, process mining, control plans, waste identification
Org Designreferences/org-design.mdOperating models, structure design, role frameworks, spans of control, transition planning
Project Governancereferences/project-governance.mdSteering committees, stage gates, RACI, decision rights, risk registers, status reporting (RAG)
Client Deliverablesreferences/client-deliverables.mdReports, executive presentations, storylining, slide design, board decks, PE IC memos
Workshop Facilitationreferences/workshop-facilitation.mdStrategy offsites, design thinking sessions, innovation sprints, facilitation guides, participant dynamics
Thought Leadershipreferences/thought-leadership.mdPOVs, white papers, case studies, industry briefs, thesis development
Project Closeoutreferences/project-closeout.mdDeliverable handover, knowledge transfer, lessons learned, benefits tracking, transition to BAU

For PPTX slide generation with pptxgenjs, also load references/pptx-generation.md.

Multiple references can be loaded when the request spans topics (e.g., a due diligence engagement needs due-diligence.md + financial-modeling.md + client-deliverables.md).


Writing Style

Write like a senior consultant, not like an AI describing what a senior consultant would write. Apply these to every deliverable this skill produces.

  • No em-dashes (the character). Use parentheses, periods, or colons instead. This is the most common AI tell.
  • Vary sentence length. Short sentences land points. Longer ones carry nuance.
  • State opinions directly. "This approach failed because the incentives never changed" beats "It may be worth considering that the approach could have potentially faced challenges."
  • No "not just X, but Y" constructions. Say what it is.
  • Quantify when possible. "Revenue dropped 12%" beats "revenue experienced a significant decline."
  • When uncertain, say so plainly: "We don't have enough data to call this yet."
  • Go deep where insight lives, light where routine. Not every section deserves equal airtime.
  • Cut AI filler: "it's worth noting," "it should be mentioned," "let's delve into," "in today's rapidly evolving," "navigating the," "when it comes to."

Depth Calibration

Prioritize depth on the 2-3 sections where the real insight lives. Go deep there and sketch the rest. Equal airtime across every section signals no point of view about what mattered. When presenting risk scores, timeline estimates, or probability assessments without underlying data, label them as directional estimates.

Content Integrity

  • Ask for information rather than fabricating it. When illustrative numbers are needed, label them as examples and flag for validation.
  • Present benchmarks as illustrative, not authoritative. Note the source and the context that makes them comparable.
  • Never fabricate engagement experience or specific dollar figures. Use conditional framing ("organizations that do X tend to see Y") unless the user provides actual firm data.

Signals

GitHub stars
52
Forks
8
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
management-consulting
Source
github.com/anotb/management-consulting-plugin