tweets

Index and extract insights from Soli's Twitter archive using Node.js parsing.

2|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/soliblue/cloude --skill tweets
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tweets
Source: https://github.com/soliblue/cloude/tree/main/.claude/skills/tweets
Command: npx skills add https://github.com/soliblue/cloude --skill tweets

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly surface context, tone, and recurring patterns from Soli's Twitter archive to inform writing, interviews, or analysis.

Core Features & Use Cases

  • Archive mining: Search, filter, and summarize Soli's tweets (462 tweets) and long-form note-tweets (39) to extract actionable insights.
  • Voice matching: Analyze vocabulary, phrasing, and sentiment to align AI-generated content with Soli's style.
  • Context for interviews and content: Provide topic-oriented context for discussions, articles, or content planning.

Quick Start

Search the archive for keywords like AI or startup in the .claude/skills/tweets/data directory and run the provided examples to generate a concise insight report.

Frequently Asked Questions about tweets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a Twitter archive to extract context and tone patterns?

Analyzing a Twitter archive to extract context and tone patterns involves indexing tweets and note-tweets to surface vocabulary, phrasing, and sentiment insights. This Skill processes 462 tweets and 39 note-tweets to support context-aware AI interactions and content ideation.

What's the best way to match AI-generated content to a specific writing voice from tweets?

Matching AI-generated content to a specific writing voice requires analyzing tweet vocabulary, phrasing, and sentiment. This Skill mines the archive to align AI outputs with the author's style by extracting recurring patterns and tone markers from historical posts.

Do I need Node.js to parse local Twitter archive data files for analysis?

Node.js is required to parse local Twitter archive data files for this analysis. The Skill relies on Node.js-based parsing to process local data files located in the .claude/skills/tweets/data directory, specifically tweets.js and note-tweet.js.

Can I search and filter a personal Twitter archive for interview preparation topics?

You can search and filter a personal Twitter archive for interview preparation by mining tweets and note-tweets for topic-oriented context. This Skill summarizes relevant posts to provide discussion context, supporting trend analysis and content planning across 501 total entries.

How do I identify recurring patterns and sentiment in a set of long-form note-tweets?

Identifying recurring patterns and sentiment in long-form note-tweets involves indexing and filtering the 39 note-tweets alongside standard tweets. This Skill extracts actionable insights by searching the archive for specific keywords and generating concise insight reports.

Why does Twitter archive parsing require local data files instead of direct API access?

Twitter archive parsing requires local data files because the Skill operates on pre-exported archive data rather than live API streams. This approach enables offline analysis of historical tweets and note-tweets for voice matching and trend analysis without API rate limits.