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- X Research — Twitter Content Intelligence
X Research — Twitter Content Intelligence
Transform Twitter threads and profiles into actionable WordPress/Shopify leads and content strategies.
$5
Works with the AI tools you already use
X Research — Twitter Content Intelligence
Example session with this skill installed
Analyze this thread text about Shopify checkout frustrations and give me 3 content ideas for a development agency and a list of specific pain points mentioned.
- Read your context and instructions
- Compiled the x research
- Generated the document
I have analyzed the thread content regarding Shopify checkout hurdles. I have identified three recurring technical frustrations and mapped them to high-authority content angles for your agency.
Twitter Intelligence Report: Shopify Checkout Friction
| Pain Point Category | Specific User Frustration | Revenue Impact |
|---|---|---|
| App Bloat | Scripts from multiple upsell apps slowing down the Liquid renderer. | High (Abandoned carts) |
| Address Validation | Default Shopify Plus checkout failing on specific EU zip code formats. | Medium (Support tickets) |
| Mobile Layout | Custom CSS overrides breaking the "Pay Now" button on iPhone SE screens. | Critical (Zero conversion) |
Content Strategy Directions
1. The "App Audit" Authority Post
- Concept: A technical breakdown of how "one-click" upsell apps inject unoptimized Javascript.
Angle: Contrarian. Explain why removing 3 apps actually increases LTV more than the apps' claimed "revenue lift."
2. The "Hidden Leak" Thread
- Concept: Focus on the mobile layout breakage identified in the data.
Hook: "Your Shopify checkout looks perfect on your MacBook Pro. It's currently broken for 12% of your mobile users. Here is how to check."
3. Lead Magnet: The Checkout Performance Checklist
- Concept: A 10-point technical audit specifically for Shopify Plus merchants.
Call to Action: "We fixed these 3 specific issues for a $10M brand, increasing checkout completion by 4% overnight."
Next steps
- Draft the "App Audit" post focusing on the Liquid renderer bottleneck.
- Check your existing client base for the iPhone SE button alignment bug.
- Use these pain points to update your Shopify service landing page copy.
x-research-twitter-content-intelligence.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Twitter is a goldmine of client pain points and market trends, but manual analysis is slow. You waste hours scrolling through threads and profiles without turning that data into usable content or leads.
What it does
- Analyzes Twitter profiles to extract positioning, target audience, and engagement patterns.
- Deconstructs viral threads to identify hook structures and core ideas for repurposing.
- Identifies specific frustrations from replies regarding WordPress performance and Shopify conversion rates.
- Generates actionable content maps including contrarian takes and lead magnet concepts.
- Spots hiring signals and growth indicators in bios to qualify potential leads.
Why this beats prompting it yourself
Generic prompts often miss the nuances of authority building and lead signals. This skill uses a structured framework to categorize social data into specific business opportunities for WordPress and Shopify professionals, ensuring you get strategy instead of just summaries.
Use cases
- Turn a competitor's viral thread into a list of 10 contrarian blog posts.
- Audit a prospect's profile to find their specific technical bottlenecks before a pitch.
- Monitor Twitter replies to find recurring Shopify checkout issues for product ideas.
Known limitations
Requires you to provide the text content or data from Twitter. It does not have real-time API access to browse the platform autonomously.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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