market-research-reports

market-research-reports is a skill for Claude Code from magic3007/dotfiles. It costs 89 tokens per session (6,611 once invoked), scanned A, a copy of market-research-reports, MIT.

A tool for producing long market research reports about industries, competitors, and strategic choices. It formats the result as a professional LaTeX document and can include charts, diagrams, and structured business frameworks.

In plain words
What is it for?
Use it to create industry and competitive-landscape reports with market data, analysis frameworks, visual elements, recommendations, and a compiled PDF.
Why use it?
It organizes broad market information into a report that can support business, investment, and strategy decisions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python skills/scientific-schematics/scripts/generate_schematic.py \.

Good fit Use it to create industry and competitive-landscape reports with market data, analysis frameworks, visual elements, recommendations, and a compiled PDF.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/magic3007/dotfiles
agentmods
npx agentmods add skills/magic3007/dotfiles/market-research-reports

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for market-research-reports

README.md
[![agentmods](https://agentmods.dev/badge/skills/magic3007/dotfiles/market-research-reports/github.svg)](https://agentmods.dev/skills/magic3007/dotfiles/market-research-reports)
Your own site
<a href="https://agentmods.dev/skills/magic3007/dotfiles/market-research-reports"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/market-research-reports/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for market-research-reports

Your own site · 80×15
<a href="https://agentmods.dev/skills/magic3007/dotfiles/market-research-reports"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/market-research-reports.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,611 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.06611
Opus 5 $0.00044 $0.03306
Sonnet 5 $0.00018 $0.01322
Haiku 4.5 $0.00009 $0.00661

Measured 5d ago against content hash ac5f7ce4fed2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

market-research-reports scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_market_visuals.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

98% identical to market-research-reports — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

claude/skills/scientific-agent-skills/skills/market-research-reports/SKILL.md · 907 lines

How it starts

The opening of the file, as written. The whole thing — 907 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Market Research Reports

Overview

Market research reports are comprehensive strategic documents that analyze industries, markets, and competitive landscapes to inform business decisions, investment strategies, and strategic planning. This skill generates professional-grade reports of 50+ pages with extensive visual content, modeled after deliverables from top consulting firms like McKinsey, BCG, Bain, Gartner, and Forrester.

Key Features:

  • Comprehensive length: Reports are designed to be 50+ pages with no token constraints
  • Visual-rich content: 5-6 key diagrams generated at start (more added as needed during writing)
  • Data-driven analysis: Deep integration with research-lookup for market data
  • Multi-framework approach: Porter's Five Forces, PESTLE, SWOT, BCG Matrix, TAM/SAM/SOM
  • Professional formatting: Consulting-firm quality typography, colors, and layout
  • Actionable recommendations: Strategic focus with implementation roadmaps

Output Format: LaTeX with professional styling, compiled to PDF. Uses the market_research.sty style package for consistent, professional formatting.

When to Use This Skill

This skill should be used when:

  • Creating comprehensive market analysis for investment decisions
  • Developing industry reports for strategic planning
  • Analyzing competitive landscapes and market dynamics
  • Conducting market sizing exercises (TAM/SAM/SOM)
  • Evaluating market entry opportunities
  • Preparing due diligence materials for M&A activities
  • Creating thought leadership content for industry positioning
  • Developing go-to-market strategy documentation
  • Analyzing regulatory and policy impacts on markets
  • Building business cases for new product launches

Visual Enhancement Requirements

CRITICAL: Market research reports should include key visual content.

Every report should generate 6 essential visuals at the start, with additional visuals added as needed during writing. Start with the most critical visualizations to establish the report framework.

Read the full file on GitHub · 907 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 907 lines · 89 tokens per session scan A ac5f7ce4fed2

Subscribe to this mod's changes

market-research-reports is a skill published in the GitHub repository magic3007/dotfiles (11 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 6,611 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to market-research-reports, differing in 3 lines, and is treated as a copy.

Related

Other skills, from other repositories

orchestrate-agents

Orchestrate multiple agent CLIs (Claude, Codex, Antigravity) via tmux with a shared fleet store, dispatching one guardian subagent per pane. Survey-first: inspects and adopts existing tmux sessions, windows, and agent panes before creating anything new. Use when running a multi-agent session, dispatching parallel…

urmzd/dotfiles · 83 tokens

assess-quality

Foundational quality framework: the five questions (readable, easy to start, expands without bloat, consistent, intentional) every other dev skill is judged against, plus the dual-audience and workshop principles. Use when onboarding to a project, defining a quality bar, setting an assessment checklist, or arbitrating…

urmzd/dotfiles · 120 tokens

create-oss-skill

Create well-formed Agent Skills following the agentskills.io specification. Scaffold directories, write SKILL.md files, bundle scripts, and structure instructions for progressive disclosure. Use when creating a new skill, reviewing skill structure, optimizing a skill description, or setting up evals for skill quality.

urmzd/dotfiles · 63 tokens

extend-oss-skills-to-claude

Extend standard agentskills.io skills with Claude Code-specific features. Invocation control, subagent execution, dynamic context injection, string substitutions, model/effort overrides, and deployment scoping. Use when adapting a portable skill for Claude Code, adding Claude-specific frontmatter, setting up subagent…

urmzd/dotfiles · 74 tokens

merge-ready

Drive an existing pull request to a mergeable state: get CI green, resolve merge conflicts with the base branch, address and resolve review comments, trigger required bot reviews/approvals (e.g. commenting '@claude review'), link associated issues, and clean up the PR title and description. Ends with a readiness…

urmzd/dotfiles · 208 tokens

scaffold-project

Generates cross-language standard files (README, AGENTS.md, LICENSE, CONTRIBUTING.md, SECURITY.md, sr.yaml, .envrc, llms.txt), documentation conventions, and project structure, then dispatches to language-specific scaffolds. Use first for cross-language standard files and structure, THEN load the matching scaffold…

urmzd/dotfiles · 137 tokens