Extract deep insights from Reddit discussions including sentiment, key arguments, and community consensus.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreddit-thread-analyzerExecute the skills CLI command in your project's root directory to begin installation:
Fetches reddit-thread-analyzer from onewave-ai/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate reddit-thread-analyzer. Access via /reddit-thread-analyzer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Extract deep insights from Reddit discussions including sentiment, key arguments, and community consensus.
When a user provides a Reddit thread URL or asks about Reddit opinions, analyze the discussion comprehensively to surface meaningful patterns and insights.
Use WebFetch to load the Reddit thread and extract:
Determine the dominant sentiment and emotional tone:
Identify the most impactful points:
Top Arguments in Favor (3-5 points):
Top Arguments Against (3-5 points):
Expert or Verified Opinions:
Determine what the community agrees on:
Flag heavily debated points:
Format your analysis clearly:
# Reddit Analysis: [Thread Title]
## Executive Summary
[2-3 sentence overview of the discussion and main takeaway]
## Overall Sentiment
- **Dominant Sentiment**: Positive/Negative/Neutral/Mixed (X%)
- **Emotional Tone**: [excited/frustrated/skeptical/etc.]
- **Community Alignment**: High/Medium/Low
## Top Arguments
### In Favor
1. **[Main point]** (+XXX score)
> "[Direct quote from comment]"
- [Brief explanation of reasoning]
2. **[Main point]** (+XXX score)
> "[Direct quote]"
### Against
1. **[Main point]** (+XXX score)
> "[Direct quote]"
## Community Consensus
- ✅ [Point most people agree on]
- ✅ [Another consensus point]
## Controversial Topics
- ⚠️ [Divisive issue] - Community split roughly 50/50
- ⚠️ [Another debate point]
## Notable Insights
- **Expert Opinion**: [Quote from verified expert] (+XXX)
- **Surprising Take**: [Unexpected perspective that gained traction]
- **Most Helpful**: [Most practical or actionable advice]
## Key Quotes
> "[Memorable quote]" - u/username (+XXX score)
> "[Another impactful quote]" - u/username (+XXX score)
## Discussion Quality
- Civility: High/Medium/Low
- Depth: Superficial/Moderate/Deep
- Evidence-based: Yes/No/Mixed
User: "What does Reddit think about the new iPhone?"
Your analysis:
Remember: Focus on substance over noise. Prioritize well-reasoned arguments over emotional reactions.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for reddit-thread-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
reddit-thread-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: reddit-thread-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
reddit-thread-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
reddit-thread-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
reddit-thread-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend reddit-thread-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added reddit-thread-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: reddit-thread-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
reddit-thread-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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