Agent skill · Content & Marketing

reddit-sentiment-analysis

Conduct comprehensive sentiment analysis of Reddit discussions for any product, brand, company, or topic. Analyzes what people like, dislike, and wish were different with structured output summaries.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill reddit-sentiment-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/reddit-sentiment-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Reddit Sentiment Analysis Skill ## Purpose This skill enables systematic sentiment analysis of Reddit discussions to understand community opinions, preferences, and desires about products, brands, games, companies, or any topic. It produces actionable insights about what people like, what they criticize, and what improvements they wish for. ## When to Use This Skill Use this skill when you need to: - Analyze community sentiment about games, products, or brands - Understand what features/aspects users appreciate - Identify common complaints and pain points - Discover what improvements or changes users desire - Generate competitive intelligence from community discussions - Track sentiment trends over time for a topic - Make data-driven product decisions based on user feedback ## Prerequisites This skill requires the Reddit MCP server to be configured in `.mcp.json`: ```json { "mcpServers": { "reddit": { "command": "uvx", "args": ["mcp-server-reddit"] } } } ``` ## Core Workflow ### Phase 1: Target Identification and Data Collection **1. Define Analysis Target** - Identify the product/brand/game/topic to analyze - Determine relevant subreddits (e.g., r/gaming, r/Games, product-specif

What's inside
Steps it walks through
  1. Purpose
  2. When to Use This Skill
  3. Prerequisites
  4. Core Workflow
  5. Phase 1: Target Identification and Data Collection
  6. Phase 2: Sentiment Classification
  7. Phase 3: Entity and Aspect Extraction
  8. Phase 4: Aggregation and Summarization
  9. Implementation Protocol
  10. Step 1: Create Todo List
  11. Step 2: Parallel Data Collection
  12. Step 3: Parallel Comment Analysis
  13. Step 4: Sentiment Analysis Engine
  14. Step 5: Generate Report
Ships with 1 file
  • metadata.json
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About this skill
What does the reddit-sentiment-analysis skill do?

Conduct comprehensive sentiment analysis of Reddit discussions for any product, brand, company, or topic. Analyzes what people like, dislike, and wish were different with structured output summaries.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill reddit-sentiment-analysis --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.

Keep going