x-blogger-analyzer_skill

This skill analyzes an X/Twitter blogger's content strategy, extracts growth factors, and generates a comprehensive report for publication notes.
  • Python

79

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 zephyrwang6/myskill --skill x-blogger-analyzer

  • SKILL.md4.1 KB

Overview

This skill analyzes an X/Twitter blogger’s content style, creation strategy, and growth drivers. It ingests tweet text (manual copy or attempted automated fetch), identifies repeatable patterns behind viral posts, and produces a structured analysis saved as a report note. The tool highlights practical tactics you can adopt and pitfalls to avoid.

How this skill works

The skill extracts the username from a provided X/Twitter link and then accepts tweet content either pasted by the user (recommended) or fetched by a script (low success rate due to Cloudflare). It analyzes engagement patterns, language style, posting frequency, media usage, and thread behavior, then generates a formatted report and saves it to a notes folder.

When to use it

  • You want a concise report on why a specific account grows or goes viral.
  • You have 20–50 tweets copied from the account and want pattern extraction.
  • You need actionable, copyable strategies to test on your own account.
  • You want a saved note summarizing content style, cadence, and tactics.
  • You need help interpreting which post types drive highest engagement.

Best practices

  • Prefer manual copy: open the profile, scroll to load 20–50 tweets, then paste content for analysis.
  • Provide tweet timestamps and engagement numbers when possible for more accurate cadence and impact insights.
  • Include a mix of viral and typical posts to reveal distinguishing features.
  • If using automated fetch, expect failures due to Cloudflare and treat results as partial.
  • Use the generated report as a hypothesis list to A/B test on your own account.

Example use cases

  • Analyze a competitor’s top-performing tweets to replicate effective formats.
  • Audit a creator’s posting rhythm and adjust your publication schedule accordingly.
  • Extract wording patterns and hooks that consistently drive replies or retweets.
  • Identify media and thread strategies that correlate with spikes in follower growth.
  • Compile a monthly notes file summarizing multiple bloggers for content planning.

FAQ

Automatic fetching often fails due to Cloudflare. Use the manual copy workflow: open the profile, scroll to load tweets, copy and paste them into the tool.

How many tweets do I need for a reliable analysis?

At least 20 tweets is recommended. More samples (40–50) improve accuracy for cadence and pattern detection.

Where is the analysis saved?

The skill generates a markdown report and saves it under the notes folder following the naming convention for easy reference.

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