market-analyst
Synthesize multiple sentiment analyses to identify market trends, gaps, opportunities, and predict likely hits. Cross-analyzes patterns to find underserved markets and highlight unique innovations.
npx skills add majiayu000/claude-skill-registry --skill market-analyst --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The skill ingests outputs from the reddit-sentiment-analysis workflow to perform a meta-analysis across several products or games. It aims to identify common patterns of success, market gaps where demand exists but supply is lacking, underserved segments, and novel opportunities. It also predicts hits based on cross-product sentiment data and offers strategic recommendations for product development and positioning.
How it works
- Accepts 2+ Reddit sentiment analysis reports located in /docs/ and formatted with LIKES/DISLIKES/WISHES sections.
- For each product/game, it extracts structured data including product_name, overall_sentiment, likes, dislikes, wishes, key_insights, and competitor_mentions.
- Performs cross-product pattern analysis to identify universal success factors and universal pain points using a grouping and frequency/consistency approach.
- Analyzes wishes to detect high-demand unmet needs across products.
- Identifies market gaps (feature, segment, price/value, or business model) and computes a gap priority score based on demand, competition, urgency, market size, and feasibility.
- Performs novelty detection to surface outlier successes and assess replicability and transferability.
- Predicts hit potential for product concepts using a scoring model across five dimensions and generates strategic recommendations and a market opportunity matrix.
- Produces a Market Analysis Report structure with sections on universal success factors, universal pain points, market gaps & opportunities, novelty & innovation, predicted hits & strategic recommendations, trend analysis, and competitive intelligence.
When to use it
Use this skill when you have 2+ sentiment reports and need to identify market opportunities, predict which upcoming products will succeed, uncover market gaps, and obtain strategic guidance for development and positioning.
What it can touch
- Inputs come from Reddit sentiment analyses stored in /docs/.
- It references and aggregates data from files matching reddit-sentiment-*.md.
- It uses a structured data model for products with fields like product_name, overall_sentiment, likes, dislikes, wishes, etc.
Caveats
- The skill relies on the presence and format integrity of 2+ sentiment reports in /docs/ following the specified schema.
- It computes qualitative categories (e.g., Universal Success Factor, Industry-Wide Problem) based strictly on data-driven thresholds defined in the workflow; if data is sparse or biased, results may be limited.
- The analysis assumes reports cover comparable time periods and product categories to ensure meaningful cross-product comparisons.
# 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 sectio
- Purpose
- When to Use This Skill
- Prerequisites
- Core Workflow
- Phase 1: Data Ingestion and Normalization
- Phase 2: Cross-Product Pattern Analysis
- Phase 3: Gap Identification and Market Opportunity Analysis
- Phase 4: Novelty Detection and Innovation Analysis
- Phase 5: Predictive Analysis and Recommendations
- Output Format
- Market Analysis Report Structure
- Implementation Protocol
- Step 1: Create Analysis Plan
- Step 2: Data Loading
What does the market-analyst skill do?
Synthesize multiple sentiment analyses to identify market trends, gaps, opportunities, and predict likely hits. Cross-analyzes patterns to find underserved markets and highlight unique innovations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill market-analyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.