- Home
- Skills
- Onewave Ai
- Claude Skills
- Reddit Analyzer
reddit-analyzer_skill
- Python
36
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill onewave-ai/claude-skills --skill reddit-analyzer- SKILL.md4.4 KB
Overview
This skill analyzes Reddit threads to surface sentiment, consensus, top arguments, and discussion patterns. It digests posts and comments to create a clear, evidence-backed summary that helps you understand community opinion and the strongest lines of reasoning. Use it to convert noisy discussions into actionable insights.
How this skill works
The skill fetches the full thread (post and all comments) and extracts metadata: author, scores, timestamps, awards, and any verified or expert flair. It computes overall sentiment and sentiment distribution, detects emotional tone and shifts over time, ranks top supportive and opposing arguments by score and engagement, and highlights consensus and controversial topics. The output is a structured report with direct quotes, scores, and concise takeaways.
When to use it
- Validating product feedback or feature sentiment from subreddit conversations
- Summarizing community reaction to news, launches, or policy changes
- Researching public opinion before making communications decisions
- Identifying recurring arguments and evidence used by community members
- Monitoring a subreddit for emerging trends or divisive topics
Best practices
- Prioritize highly upvoted comments and long comment chains for consensus signals
- Include exact scores and timestamps to show how opinion evolved
- Quote key comments directly to preserve nuance and avoid misinterpretation
- Distinguish verified/expert comments from general user opinion
- Note when discussion quality is low (memeing, brigading) and downweight it
Example use cases
- Analyze a product launch thread to report top pros, cons, and upgrade intent
- Summarize subreddit debate on a policy change for stakeholder briefings
- Extract evidence and rebuttals for market research or competitive analysis
- Monitor sentiment shifts after an official announcement or clarification
- Identify recurring misconceptions to inform customer education content
FAQ
Aim for several hundred comments when available; if the thread is smaller, analyze all comments but note lower statistical confidence.
Will the report include direct quotes and scores?
Yes. The report highlights direct quotes with their comment scores and timestamps to show community endorsement and context.