Consulting Analysis Agent Skill

Consulting Analysis

Overview

Produces professional, consulting-grade research reports in Markdown, covering

market analysis, consumer insights, brand strategy, financial analysis,

industry research, competitive intelligence, and investment due diligence.

Operates in two phases:

• Phase 1 — Analysis Framework: chapter skeleton, data requirements,

visualization plan

• Phase 2 — Report Generation: synthesize collected data into final report

Output adheres to McKinsey/BCG consulting voice standards.

Data Authenticity Protocol

**All data in the report MUST derive from provided Data Summary or External

Search Findings.** No hallucinations. If data is missing, state "Data not

available" rather than fabricating numbers. Every major claim must be

traceable to input data.

When to Use

• User asks for market analysis, consumer insight report, financial analysis,

industry research, or any consulting-grade analytical report

• User provides a research subject and needs a structured framework
• User provides data summaries to synthesize into a report

Phase 1: Analysis Framework Generation

Step 1.1: Identify Domain & Dimensions

| Domain | Typical Dimensions |

|--------|--------------------|

| Market Analysis | Market size, growth, segmentation, drivers, competition |

| Brand Analysis | Positioning, share, perception, strategy |

| Consumer Insights | Demographics, behavior, decision journey, pain points |

| Financial Analysis | Macro, industry, fundamentals, metrics, valuation |

| Industry Research | Value chain, market size, competition, policy, tech |

| Investment DD | Business model, financials, management, opportunity, risk |

| Competitive Intel | Competitor ID, comparison, SWOT, positioning |

Step 1.2: Select Frameworks

Select 2-4 complementary frameworks per domain:

| Category | Frameworks |

|----------|-----------|

| Strategic | SWOT, PESTEL, Porter's Five Forces, VRIO |

| Market & Growth | STP, BCG Matrix, Ansoff, TAM-SAM-SOM, PLC |

| Consumer | Decision Journey, AARRR, RFM, JTBD |

| Financial | DuPont, DCF, Comparable Company, EVA |

| Competitive | Benchmarking, Value Chain, Blue Ocean, Perceptual Mapping |

| Industry | Gartner Hype Cycle, GE-McKinsey Matrix |

Selection principles: domain-first, complementary not overlapping, depth

over breadth, data-feasible, explicitly mapped to chapters.

Step 1.3: Chapter Skeleton

Each chapter must include:

• Chapter Title — professional, concise, subject-based
• Analysis Objective — what this chapter reveals
• Analysis Logic — framework or reasoning chain
• Core Hypothesis — to validate or refute

Step 1.4: Data Requirements Per Chapter

| Field | Description |

|-------|-------------|

| Data Metric | Specific metric needed |

| Data Type | Quantitative / Qualitative / Mixed |

| Suggested Sources | Industry reports, gov stats, social media, etc. |

| Search Keywords | Queries for data collection |

| Priority | P0 (Required) / P1 (Important) / P2 (Supplementary) |

| Time Range | Period data should cover |

Step 1.5: Visualization Plan Per Chapter

| Field | Description |

|-------|-------------|

| Chart Type | Line, bar, pie, scatter, radar, heatmap, table |

| Chart Title | Descriptive title |

| Data Mapping | Which metrics map to axes/segments |

| Argument Structure | "What → Why → So What" narrative outline |

Step 1.6: Output Framework

# [Research Subject] Analysis Framework

## Research Overview
- **Research Subject**: [...]
- **Scope**: [Geography, time range, segment]
- **Analysis Domain**: [Market / Finance / Industry / ...]
- **Core Research Questions**: [1-3 key questions]

## Framework Selection
| Chapter | Selected Framework(s) | Application |
|---------|----------------------|-------------|

## Chapter Skeleton
### 1. [Chapter Title]
- **Analysis Objective**: [...]
- **Analysis Logic**: [...]
- **Core Hypothesis**: [...]
#### Data Requirements
| # | Metric | Type | Sources | Keywords | Priority | Time |
#### Visualization & Content Plan
[Chart plan + table design + argument structure]

## Data Collection Task List
[Consolidated P0/P1 tasks for downstream data collection]

Phase 2: Report Generation

After data collection (by deep-research or other skills), synthesize into

final report.

Step 2.1: Validate Inputs

Confirm Analysis Framework + Data Summary present. Flag missing P0 data.

Step 2.2: Write Report

For each sub-chapter, follow **"Visual Anchor → Data Contrast → Integrated

Analysis"**:

• Visual Evidence: comparison tables (charts if available)
• Data Contrast: Markdown table of key metrics
• Integrated Narrative: "What → Why → So What" (min 200 words)

Each insight must connect Data → User Psychology → Strategy Implication:

❌ Bad: "Females are 60%. Strategy: Target females."
✅ Good: "Females constitute 60% with high TGI. This suggests purchase is
   driven by aesthetic validation. Consequently, media spend should pivot
   to visual-heavy platforms."

Step 2.3: Report Structure

# [Report Title]

## Abstract
[Executive summary with key takeaways]

## 1. Introduction
[Background, objectives, methodology]

## 2. [Body Chapter]
### 2.1 [Sub-chapter]
| Metric | Brand A | Brand B |
[Integrated narrative: What → Why → So What, min 200 words]

## N+1. Conclusion
[Pure objective synthesis, NO bullet points, neutral tone]

## N+2. References
[Formatted references]

Formatting Standards

• Tone: McKinsey/BCG — authoritative, objective, professional
• Number formatting: English commas (1,000 not 1，000)
• Titling: standard numbering (1., 1.1), no "Chapter/Part/Section"

prefixes

• Forbidden words: "Decoding", "DNA", "Secrets", "Unlocking"
• No horizontal rules (---)
• Conclusion: flowing prose, NO bullet points

Quality Checklist

Phase 1

• [ ] Framework covers all natural dimensions for the domain
• [ ] 2-4 complementary frameworks selected and mapped to chapters
• [ ] Each chapter has Objective, Logic, Hypothesis
• [ ] Data requirements specific with search keywords
• [ ] Every chapter has a visualization plan
• [ ] P0/P1/P2 priorities assigned

Phase 2

• [ ] NO HALLUCINATION: all numbers traceable to Data Summary
• [ ] All sections in order (Abstract → Intro → Body → Conclusion → References)
• [ ] Every sub-chapter follows "Visual Anchor → Data Contrast → Analysis"
• [ ] Every sub-chapter ends with min 200-word analytical paragraph
• [ ] Insights follow "Data → Psychology → Strategy" chain
• [ ] Conclusion is flowing prose, no bullets
• [ ] Missing P0 data explicitly flagged

Output

• Phase 1: Analysis Framework in Markdown
• Phase 2: Final Report in Markdown, saved to .poirot/outputs/