market-analyst

market-analyst is a skill for Claude Code from natea/fitfinder. It costs 38 tokens per session (5,083 once invoked), scanned A, original, MIT.

A market research guide that combines multiple Reddit sentiment reports to find patterns, unmet demand, and promising opportunities. It is intended for comparing several products or games rather than analyzing just one.

In plain words
What is it for?
Use it to identify market gaps, underserved audiences, common success factors, potential product or game opportunities, and development or positioning recommendations.
Why use it?
It helps turn separate user-opinion reports into broader conclusions about what customers want and where existing offerings fall short.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the TodoWrite tool.

Good fit Use it to identify market gaps, underserved audiences, common success factors, potential product or game opportunities, and development or positioning recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/natea/fitfinder/market-analyst
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add natea/fitfinder --skill market-analyst
Clone the repo
git clone --depth 1 https://github.com/natea/fitfinder

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-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/natea/fitfinder/market-analyst/github.svg)](https://agentmods.dev/skills/natea/fitfinder/market-analyst)
Your own site
<a href="https://agentmods.dev/skills/natea/fitfinder/market-analyst"><img src="https://agentmods.dev/badge/skills/natea/fitfinder/market-analyst/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-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/natea/fitfinder/market-analyst"><img src="https://agentmods.dev/badge/skills/natea/fitfinder/market-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,083 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 original No closer match found 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 $0.00038 $0.05083
Opus 5 $0.00019 $0.02542
Sonnet 5 $0.00008 $0.01017
Haiku 4.5 $0.00004 $0.00508

Measured 8d ago against content hash 50788c451423, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

market-analyst 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 8d ago.

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.

.claude/skills/market-analyst/SKILL.md · 698 lines

How it starts

The opening of the file, as written. The whole thing — 698 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Market Analyst Skill

Purpose

This skill consumes outputs from the reddit-sentiment-analysis skill to perform meta-analysis across multiple products/games. It identifies:

  • Common patterns across successful products (what universally drives satisfaction)
  • Market gaps where demand exists but supply is lacking
  • Underserved segments with unmet needs
  • Novelty opportunities where unique approaches could succeed
  • Predicted hits based on cross-product sentiment intelligence
  • Strategic recommendations for product development and positioning

When to Use This Skill

Use this skill when you have:

  • ✅ Multiple sentiment analysis reports (2+ products/games analyzed)
  • ✅ Need to identify market opportunities across a product category
  • ✅ Want to predict which upcoming products will succeed
  • ✅ Looking for gaps in the market based on user sentiment
  • ✅ Need strategic recommendations for product development
  • ✅ Want to understand what makes products succeed or fail

Prerequisites

  1. Input Data: 2+ Reddit sentiment analysis reports in /docs/

    • Generated by reddit-sentiment-analysis skill
    • Must follow standard format with LIKES/DISLIKES/WISHES sections
    • Recent data (ideally within same time period)
  2. Analysis Scope: Clear product category (e.g., FPS games, productivity apps, streaming services)

Core Workflow

Phase 1: Data Ingestion and Normalization

1. Identify Available Sentiment Reports

  • Scan /docs/ for reddit-sentiment-*.md files
  • Parse each report to extract structured data
  • Validate format and completeness

2. Extract Key Data Points

For each product/game analyzed, extract:

{
  product_name: string,
  overall_sentiment: {positive: %, negative: %, neutral: %},
  likes: [
    {aspect: string, mentions: number, sentiment: %, quotes: []}
  ],
  dislikes: [
    {aspect: string, mentions: number, severity: string, quotes: []}
  ],
  wishes: [
    {feature: string, mentions: number, urgency: string, quotes: []}
  ],
  key_insights: [],
  competitor_mentions: {}
}

Read the full file on GitHub · 698 lines

Files

What ships with it

2 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. 8d ago First seen · 698 lines · 38 tokens per session scan A 50788c451423

Subscribe to this mod's changes

market-analyst is a skill published in the GitHub repository natea/fitfinder (4 stars, last pushed 10mo ago), licensed MIT. It adds 38 tokens to every session and 5,083 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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