# market-research-reports

> Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner) with professional LaTeX formatting, extensive visual generation, deep research integration, and multi-framework strategic analysis.

**Use case**: Generate 50-page consulting-style market research reports

**Canonical URL**: https://agentcookbooks.com/skills/market-research-reports/

**Topics**: claude-code, skills, science, science

**Trigger phrases**: "write a market research report", "market analysis for", "competitive landscape report", "Porter Five Forces analysis", "TAM SAM SOM analysis"

**Source**: [K-Dense AI](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/market-research-reports)

**License**: MIT

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## What it does

`market-research-reports` is a Claude Code skill from K-Dense AI's [scientific-agent-skills repo](https://github.com/K-Dense-AI/scientific-agent-skills). It turns Claude into a consulting-style research analyst that produces comprehensive market research reports — 50+ pages in professional LaTeX format — integrating live research via `research-lookup`, visual generation via `scientific-schematics` and `generate-image`, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

A session produces a structured, formatted report document: executive summary, market overview, competitive landscape, strategic analysis framework outputs, and a recommendations section — in the format and depth associated with top-tier consulting deliverables.

## When to use it

Reach for it when:

- You're doing a market entry analysis or competitive landscape study and need a structured, sourced output rather than ad-hoc notes
- You're preparing investor materials or internal strategy documents that need to look like serious research
- You want multiple strategic frameworks applied systematically to the same market rather than running each separately

When *not* to reach for it:

- Quick one-page competitive summaries — the 50+ page output is significant overkill for a brief
- Primary research requiring interviews or proprietary data — this skill synthesizes secondary research

## Install

Copy the `SKILL.md` from K-Dense AI's [market-research-reports folder](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/market-research-reports) into `.claude/skills/market-research-reports/` in your project. Requires `research-lookup`, `scientific-schematics`, and `generate-image` skills to be installed for full functionality.

Trigger phrases: "write a market research report", "market analysis for", "competitive landscape report", "Porter Five Forces analysis".

## What a session looks like

A typical session has three phases:

1. **Market and scope definition.** Specify the market, geography, time horizon, and which frameworks to include. Claude proposes a report structure and confirms scope before starting the research phase.
2. **Research and framework application.** `research-lookup` runs in parallel across the key research questions — market size, competitors, trends, regulatory environment. Each framework is populated with the sourced data.
3. **Report assembly.** Sections are written and assembled into a LaTeX document with figures, tables, and framework visualizations. The PDF compiles cleanly with executive summary, full analysis, and bibliography.

## Receipts

**Where it works well:**
- Technology market landscapes where secondary research sources are abundant and the frameworks apply cleanly — the research integration and framework population are reliable in well-documented markets
- Structured competitive analysis where having all frameworks applied consistently produces a document that's genuinely more useful than ad-hoc analysis

**Where it backfires:**
- Emerging or niche markets with thin secondary research coverage — the report depth is bounded by what `research-lookup` can retrieve
- Markets requiring primary data (proprietary surveys, earnings call transcripts, confidential pricing) — secondary research synthesis has known gaps

**Pattern that works:** use the TAM/SAM/SOM and competitive sections as the anchor, verify key numbers against primary sources, then treat the report as a high-quality first draft for human expert review rather than a final deliverable.

## Source and attribution

Originally authored by [K-Dense Inc.](https://github.com/K-Dense-AI). The canonical SKILL.md lives in the [`market-research-reports` folder](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/market-research-reports) of their public scientific-agent-skills repository.

License: MIT. Install, adapt, and redistribute with attribution preserved.

This page documents the skill from a practitioner's perspective. For the formal spec and any updates, defer to the source repo.