consulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer…
Skill by jiaqiang000
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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Use cases: documents, design, data, writing
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What's inside
- Skill name
consulting-analysis- Description
- Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
- License
- MIT
- Instructions
- 628 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: 628 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# Professional Research Report Skill ## Overview This skill produces professional, consulting-grade research reports in Markdown format, covering domains such as **market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, investment research, and macroeconomic analysis**. It operates across two distinct phases: 1. **Phase 1 — Analysis Framework Generation**: Given a research subject, produce a rigorous analysis framework including chapter skeleton, per-chapter data requirements, analysis logic, and visualization plan. 2. **Phase 2 — Report Generation**: After data has been collected by other skills, synthesize all inputs into a final polished report. The output adheres to McKinsey/BCG consulting voice standards. The report language follows the `output_locale` setting (default: `zh_CN` for Chinese). ## Data Authenticity Protocol **Strict Adherence Rule**: All data presented in the report and visualized in charts MUST be derived directly from the provided **Data Summary** or **External Search Findings**. - **NO Hallucinations**: Do not invent, estimate, or simulate data. If data is missing, state "Data not available" rather than fabricating numbers. - **Traceable Sources**: Every major claim and chart must be traceable back to the input data package. ## Core Capabilities - **Design analysis frameworks** from scratch given only a research subject and scope - Transform raw data into structured, high-depth research reports - Follow the **"Visual Anchor → Data Contrast → Integrated Analysis"** flow per sub-chapter - Produce insights following the **"Data → User Psychology → Strategy Implication"** chain - Embed pre-generated charts and construct comparison tables - Generate inline citations formatted per **GB/T 7714-2015** standards - Output reports in the language specified by `output_locale` with professional consulting tone - Adapt analytical depth and structure to domain (marketing, finance, industry, etc.) ## When to Use This Skill **Always load this skill when:** - User asks for a market analysis, consumer insight report, financial analysis, industry research, or any consulting-grade analytical report - User provides a research subject and needs a structured analysis framework before data collection - User provides data summaries, analysis frameworks, or chart files to be synthesized into a report - User needs a professional consulting-style research report - The task involves transforming research findings into structured strategic narratives --- # Phase 1: Analysis Framework Generation ## Purpose Given a **research subject** (e.g., "Gen-Z Skincare Market Analysis", "NEV Industry Competitive Landscape", "Brand X Consumer Profiling"), produce a complete **analysis framework** that serves as the blueprint for downstream data collection and final report generation. ## Phase 1 Inputs | Input | Description | Required | |-------|-------------|----------| | **Research Subject** | The topic or question to be analyzed | Yes | | **Scope / Constraints** | Geographic scope, time range, industry segment, target audience, etc. | Optional | | **Specific Angles** | Any particular angles or hypotheses the user wants explored | Optional | | **Domain** | The analytical domain: market, finance, industry, brand, consumer, investment, etc. | Inferred | ## Phase 1 Workflow ### Step 1.1: Understand the Research Subject - Parse the research subject to identify the **core entity** (market, brand, product, industry, consumer segment, financial instrument, etc.) - Identify the **analytical domain** (marketing, finance, industry, competitive, consumer, investment, macro, etc.) - Determine the **natural analytical dimensions** based on domain: | Domain | Typical Dimensions | |--------|--------------------| | Market Analysis | Market size, growth trends, market segmentation, growth drivers, competitive landscape, consumer profiling | | Brand Analysis | Brand positioning, market share, consumer perception, marketing strategy, competitor comparison | | Consumer Insights | Demographic profiling, purchase behavior, decision journey, pain points, scenario analysis | | Financial Analysis | Macro environment, industry trends, company fundamentals, financial metrics, valuation, risk assessment | | Industry Research | Value chain analysis, market size, competitive landscape, policy environment, technology trends, entry barriers | | Investment Due Diligence | Business model, financial health, management assessment, market opportunity, risk factors, exit pathways | | Competitive Intelligence | Competitor identification, strategic comparison, SWOT analysis, differentiated positioning, market dynamics | ### Step 1.2: Select Analysis Frameworks & Models Based on the identified domain and research subject, select **one or more** professional analysis frameworks to structure the reasoning in each chapter. The chosen frameworks guide the **Analysis Logic** in the chapter skeleton (Step 1.3). #### Strategic & Environmental Analysis | Framework | Description | Best For | |-----------|-------------|----------| | **SWOT Analysis** | Strengths, Weaknesses, Opportunities, Threats | Brand assessment, competitive positioning, strategic planning | | **PEST / PESTEL Analysis** | Political, Economic, Social, Technological (+ Environmental, Legal) | Macro-environment scanning, market entry assessment, policy impact analysis | | **Porter's Five Forces** | Supplier bargaining power, buyer bargaining power, threat of new entrants, threat of substitutes, industry rivalry | Industry competitive landscape, entry barrier assessment, profit margin analysis | | **Porter's Diamond Model** | Factor conditions, demand conditions, related industries, firm strategy & structure | National/regional competitive advantage analysis | | **VRIO Analysis** | Value, Rarity, Imitability, Organization | Core competency assessment, resource advantage analysis | #### Market & Growth Analysis | Framework | Description | Best For | |-----------|-------------|----------| | **STP Analysis** | Segmentation, Targeting, Positioning | Market segmentation, target market selection, brand positioning | | **BCG Matrix (Growth-Share Matrix)** | Stars, Cash Cows, Question Marks, Dogs | Product portfolio management, resource allocation decisions | | **Ansoff Matrix** | Market penetration, market development, product development, diversification | Growth strategy selection | | **Product Life Cycle (PLC)** | Introduction, growth, maturity, decline | Product strategy formulation, market timing decisions | | **TAM-SAM-SOM** | Total / Serviceable / Obtainable Market | Market sizing, opportunity quantification | | **Technology Adoption Lifecycle** | Innovators → Early Adopters → Early Majority → Late Majority → Laggards | Emerging technology/category penetration analysis | #### Consumer & Behavioral Analysis | Framework | Description | Best For | |-----------|-------------|----------| | **Consumer Decision Journey** | Awareness → Consideration → Evaluation → Purchase → Loyalty | Consumer behavior path mapping, touchpoint optimization | | **AARRR Funnel (Pirate Metrics)** | Acquisition, Activation, Retention, Revenue, Referral | User growth analysis, conversion rate optimization | | **RFM Model** | Recency, Frequency, Monetary | Customer value segmentation, precision marketing | | **Maslow's Hierarchy of Needs** | Physiological → Safety → Social → Esteem → Self-actualization | Consumer psychology analysis, product value proposition | | **Jobs-to-be-Done (JTBD)** | The "job" a user needs to accomplish in a specific context | Demand insight, product innovation direction | #### Financial & Valuation Analysis | Framework | Description | Best For | |-----------|-------------|----------| | **DuPont Analysis** | ROE = Net Profit Margin × Asset Turnover × Equity Multiplier | Profitability decomposition, financial health diagnosis | | **DCF (Discounted Cash Flow)** | Free cash flow discounting | Enterprise/project valuation | | **Comparable Company Analysis** | PE, PB, PS, EV/EBITDA multiples comparison | Relative valuation, peer benchmarking | | **EVA (Economic Value Added)** | After-tax operating profit - Cost of capital | Value creation capability assessment | #### Competitive & Strategic Positioning
From jiaqiang000/AI-Teacher-Copilot, MIT.
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- Last commit (this folder)
- Aug 3, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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consulting-analysis skill. Agent Mart. https://agentmart.dev/skills/jiaqiang000-consulting-analysis (last updated 2026-10-24)