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Market Research Reports

Builds auditable market research reports with sourced claims, sizing scenarios and sensitivity checks.

Source Download skill
Repository
K-Dense-AI/scientific-agent-skills
Stars
55,780
Licence
MIT
Files
15 files

What it does

Once installed, the agent structures market research so every factual claim is linked to a numbered source, every calculation is traceable, and market size estimates (TAM/SAM/SOM) are shown as scenarios with stated assumptions rather than a single number. It provides templates for source ledgers, claims ledgers, competitor matrices and forecast sensitivity, and it warns against inventing citations or presenting estimates as certain. It does not replace doing the actual data gathering or legal and investment advice.

Great for

  • Analysts or marketers who need a market size estimate they can defend to a manager or client
  • Students writing a market analysis who must cite every number
  • Teams that want a reproducible audit trail for assumptions and forecasts

Skip it if

  • Quick opinion pieces or one-off market summaries where full sourcing is overkill
  • Investment, legal, tax, antitrust or regulatory decisions, which the skill explicitly excludes; relying on it for these is risky
  • Anyone expecting it to access paid databases or live data automatically without their own approved access, since it cannot verify sources itself

Try asking

  • “Build a market sizing for a B2B invoicing software product in Germany with TAM, SAM and SOM scenarios and their assumptions.”
  • “Create a source ledger and claims ledger for my competitive landscape report on electric scooters.”
  • “Run a sensitivity analysis on my three-year revenue forecast and show which assumptions move the result most.”
  • “Structure a modular market research report outline for a board decision on entering a new region.”
Step-by-step guide: how to use Market Research ReportsInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 15 original files, the MIT licence and an attribution note.

    market-research-reports.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip market-research-reports.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip market-research-reports.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Give the agent your decision, geography, time period and currency up front so the scope is fixed before sizing.
  • Supply your own local data files (CSV or JSON) and ask it to validate the ledgers, since bundled scripts run offline on those files.
  • Check every cited source yourself; the skill enforces structure but cannot confirm that a source's numbers are accurate.

What's inside

  • assets/claims_ledger_template.csv
  • assets/competitor_feature_matrix_template.csv
  • assets/consistency_check_template.csv
  • assets/forecast_sensitivity_template.json
  • assets/FORMATTING_GUIDE.md
  • assets/market_sizing_scenarios_template.json
  • assets/report_manifest_template.json
  • assets/source_ledger_template.csv
  • references/data_analysis_patterns.md
  • references/evidence_model.md
  • references/methods_and_ethics.md
  • references/official_data_sources.md
  • references/report_structure_guide.md
  • references/sources.md
  • SKILL.md

Redistributed unmodified from K-Dense-AI/scientific-agent-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.