last-30-days-research

Solid

Multi-platform research skill that gathers recent (last 30 days) opinions, sentiment, and signal on any topic from Reddit, X/Twitter, and the web. Cuts through SEO-stuffed results to surface what real people are actually saying.

AI & Automation 915 stars 165 forks Updated 3 days ago MIT

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Quality Score: 93/100

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Skill Content

# Last 30 Days Research ## The Problem Googling gives SEO-stuffed "best of" lists written six months ago by someone who has never used the thing. Real honest takes live on Reddit threads, X replies, and niche communities — but chasing them across platforms eats your afternoon. This skill does the chase for you. ## Required Inputs | Input | Required | Notes | |-------|----------|-------| | Topic | Yes | Tool, trend, feature, product, event, company — anything with a name | | Date scope | No | Defaults to last 30 days. Can override to last 7 days or last 90 days | | Angle | No | e.g. "focus on developer sentiment" or "looking for pricing complaints specifically" | ## Output Structure The output is a structured research report with the following sections, delivered in this exact order: ``` ## Last 30 Days Research: [Topic] Research window: [Date 30 days ago] → [Today's date] --- ## What People Agree On [Consensus points that appear across multiple platforms — most reliable signal] ## Where People Disagree [Active debates, contrasting views — include which side has more weight] ## Pain Points That Keep Coming Up [Recurring complaints and frustrations — strongest signal of real problems] ## Positive Signals [What people genuinely praise — not PR, but unprompted appreciation] ## Most Interesting Takes [Contrarian, unexpected, or surprisingly insightful comments worth noting] ## Sources [Links to the most useful threads/posts found — 5–10 links with brief labels] ## S...

Details

Author
mohitagw15856
Repository
mohitagw15856/pm-claude-skills
Created
4 months ago
Last Updated
3 days ago
Language
Shell
License
MIT

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