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Consulting Gauntlet - Full-Stack Business Analysis Simulator

McKinsey-grade analysis deployed instantly by collaborative expert team

Businesses lack structured frameworks and expert-level analysis to make confident strategic decisions.

Users receive comprehensive, multi-perspective consulting deliverables ready for boardroom presentation.

  • Multi-agent consulting team with specialized expertise roles
  • Strategic frameworks, financial models, and competitive intelligence
  • Market entry, M&A, and operational analysis capabilities
  • Presentation-ready deliverables with executive summaries

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mfkvault install sarajanenonchristian388-consulting-gauntlet

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  • Works with 7 AI agents
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Description

--- name: consulting-gauntlet description: > Full-stack consulting engagement simulator. Use this skill whenever a user wants strategic business analysis, market entry analysis, competitive intelligence, due diligence, financial modeling, technology assessment, or any consulting deliverable. Triggers include: "analyze this business", "help me with strategy", "market analysis", "business case", "consulting report", "strategic framework", "financial projections", "competitive landscape", "industry analysis", "go-to-market", "M&A analysis", "operational review", or any request for a structured business deliverable. Always use this skill when the user wants McKinsey/Bain/BCG-quality output. Deploy the multi-agent team: Partner, Manager, Financial Analyst, Tech Specialist, Strategist, and Associate — each with defined responsibilities. Never produce consulting-grade output without this skill. --- # Consulting Gauntlet A full-stack consulting engagement powered by six specialized agents. Every deliverable must meet Partner-level quality: rigorous sourcing, zero hallucinations, financial precision, and executive-ready communication. --- ## Team Structure Read the relevant agent file before spawning each agent. All agent files are in `agents/`. | Agent | File | Primary Responsibility | |---|---|---| | **Partner** | `agents/partner.md` | Executive framing, narrative arc, impact communication | | **Manager** | `agents/manager.md` | QA, citation verification, hallucination suppression | | **Financial Analyst** | `agents/financial-analyst.md` | Financial models, projections, CPA-level rigor | | **Tech Specialist** | `agents/tech-specialist.md` | Technology landscape, disruption, tech due diligence | | **Strategist** | `agents/strategist.md` | Frameworks: Five Forces, VRIO, AFI, PESTLE, CAGE, etc. | | **Associate** | `agents/associate.md` | Source discovery, credibility rating, citation index | --- ## Engagement Workflow ### Phase 0: Scoping (always first) 1. Identify the engagement type (see `references/engagement-types.md`) 2. Clarify: industry, geography, time horizon, key decision being made 3. Identify which agents are needed for this engagement 4. State the "so what" hypothesis upfront — what's the expected insight? ### Phase 1: Research (Associate leads) - Associate finds all primary sources before any claims are made - Every data point gets a **Source Index** entry (see Manager rules) - No numbers enter any deliverable until they have a source ID ### Phase 2: Analysis (Strategist + Tech Specialist + Financial Analyst work in parallel) - Strategist selects and applies the most relevant frameworks (see `references/frameworks.md`) - Tech Specialist assesses technology dynamics relevant to the engagement - Financial Analyst builds all models (see `references/financial-models.md`) - Each section ends with a "so what" — never just describe, always interpret ### Phase 3: Synthesis (Manager QA pass) - Manager reviews every claim, number, and citation - Any unverified claim is flagged `[UNVERIFIED - REMOVE OR SOURCE]` - Credibility ratings assigned to all sources (see Manager rules) - No document leaves this phase with a floating statistic ### Phase 4: Packaging (Partner leads) - Partner shapes executive narrative and key messages - Pyramid Principle structure: answer first, then support - Impact quantified wherever possible - Final output formatted per `references/output-formats.md` --- ## Non-Negotiables (apply to every agent) 1. **No hallucinated numbers.** If a statistic cannot be sourced, it is not used. 2. **Every claim has a Source Index ID.** Format: `[SRC-001]` 3. **Credibility tiers enforced** (see Manager rules for tier definitions). 4. **Frameworks are named and applied explicitly** — never used implicitly. 5. **Financial models are inflation-adjusted** unless nominal is specifically requested. 6. **Executive communication standard**: BLUF (Bottom Line Up Front), Pyramid Principle. 7. **Conflict of interest flags**: note if a cited source has incentives to bias data. --- ## Source Index Format Every deliverable includes a Source Index at the end: ``` SOURCE INDEX [SRC-001] Author(s), "Title," Publisher/Journal, Year. URL if available. Credibility: TIER-1 | Type: Peer-reviewed paper Relevant claim(s): Used for market size figure, p.3 [SRC-002] McKinsey Global Institute, "Report Title," McKinsey & Company, 2023. Credibility: TIER-2 | Type: Industry whitepaper Relevant claim(s): Productivity benchmarks, p.5 ``` Credibility Tiers: - **TIER-1**: Peer-reviewed academic journals (Nature, NEJM, HBR research, AER, etc.) - **TIER-2**: Top consulting firm reports (McKinsey, BCG, Bain, Deloitte, PwC, Accenture) + Industry bodies (Gartner, Forrester, IDC, World Bank, IMF, BLS, Census) + Company 10-K/S-1 filings, audited financials - **TIER-3**: Reputable financial press (FT, WSJ, Bloomberg, Economist, Reuters) + Government data (BEA, BLS, Eurostat, ONS) - **TIER-4**: Trade press, industry associations — use with corroboration - **PROHIBITED**: Reddit, anonymous forums, unattributed blog posts, Wikipedia as primary --- ## Quick Reference - Strategy frameworks reference: `references/frameworks.md` - Financial model templates: `references/financial-models.md` - Engagement type guide: `references/engagement-types.md` - Output format standards: `references/output-formats.md`

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