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Market Research

  • 63 installs
  • 93 repo stars
  • Updated May 14, 2026
  • thatrebeccarae/claude-marketing

Helps with ai & agent building tasks.

About

market-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • market-research
  • AI & Agent Building
  • AI-coding skill

Market Research by the numbers

  • 63 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #6,236 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/thatrebeccarae/claude-marketing --skill market-research

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Listed on Skillselion
Installs63
repo stars93
Last updatedMay 14, 2026
Repositorythatrebeccarae/claude-marketing

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Market Research

Consulting-grade market research reports with professional formatting and strategic analysis frameworks.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/market-research ~/.claude/skills/

Core Capabilities

  • Porter's Five Forces — competitive intensity analysis
  • PESTLE Analysis — macro-environmental scanning
  • SWOT Analysis — strengths, weaknesses, opportunities, threats
  • TAM/SAM/SOM — market sizing
  • BCG Matrix — portfolio positioning
  • Value Chain Analysis — margin and efficiency mapping
  • Competitive Positioning Maps — quadrant-based competitor mapping

Report Structure

ChapterContent
1. Executive SummaryKey findings, market size, growth rate, top recommendations
2. Market OverviewDefinition, scope, segmentation, history
3. Market Size & GrowthTAM/SAM/SOM, CAGR, revenue forecasts
4. Industry DynamicsPorter's Five Forces assessment
5. Competitive LandscapePlayer profiles, market share, positioning map
6. Customer AnalysisSegments, behavior, needs, trends
7. Technology & InnovationEmerging tech, disruption risk, adoption curves
8. Regulatory & MacroPESTLE analysis, compliance landscape
9. Opportunities & ThreatsSWOT synthesis, scenario analysis
10. Strategic RecommendationsPrioritized actions, implementation roadmap
11. AppendicesData tables, methodology, bibliography

Workflow

Phase 1: Research

  • Define market boundaries and scope
  • Deep web research for market data, reports, earnings calls
  • Collect data points: market size, growth rates, player revenue, funding
  • Identify 5-10 key competitors with detailed profiles
  • Gather regulatory and macroeconomic data

Phase 2: Analysis

  • Apply each framework to the collected data
  • Cross-reference findings across frameworks
  • Identify convergent themes and contradictions
  • Build scenario models (base, optimistic, pessimistic)
  • Score opportunities by attractiveness and feasibility

Phase 3: Visual Generation

  • Market growth charts and TAM/SAM/SOM diagrams
  • Competitive positioning maps (2x2 quadrants)
  • Porter's Five Forces radar chart
  • Risk heatmaps
  • Industry ecosystem maps

Phase 4: Writing

  • Structured prose in consulting style (not bullets)
  • Every claim backed by data with source citation
  • Key insight callout boxes throughout
  • Executive summary written last (distilled from findings)

Phase 5: Compilation

  • LaTeX formatting with custom style package
  • Table of contents, bibliography, appendices
  • PDF generation via LaTeX compiler

Output Format

Professional LaTeX with custom environments:

  • Key Insight boxes — highlighted findings
  • Market Data callouts — statistics with source
  • Risk boxes — threats with severity rating
  • Recommendation boxes — prioritized actions
  • SWOT boxes — four-quadrant analysis
  • Porter's Five Forces boxes — force-by-force assessment
  • Pull quotes — notable expert opinions
  • Stat boxes — large-format key numbers

Quality Standards

1. Every claim needs a source. No unsourced statistics. 2. Recency matters. Prefer data from the last 2 years. 3. Triangulate. Cross-reference market sizes across 3+ sources. 4. Acknowledge uncertainty. Use ranges, not false precision. 5. Actionable recommendations. Each recommendation has: what, why, how, expected impact. 6. No filler. Every paragraph must add information or insight.

For analysis templates, LaTeX formatting, and data patterns, see REFERENCE.md.

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