twitter-cultivate_skill

This skill analyzes your Twitter health, uncovers engagement opportunities, and suggests actions to grow reach and optimize activity.

5

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

3 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 phy041/claude-agent-skills --skill twitter-cultivate

  • SKILL.md8.0 KB

Overview

This skill is a Twitter/X account cultivation and growth system that audits account health, surfaces engagement opportunities, and delivers actionable recommendations to improve reach. It evaluates signal metrics like following/follower ratio, media usage, reply behavior, and shadowban risk, then prescribes pruning and content tactics to boost algorithm favor. Triggers include phrases like "/twitter-cultivate", "check my twitter", and "grow my twitter".

How this skill works

The skill inspects your public timeline, follower/following lists, recent tweet performance, and interaction history to compute a health score and TweepCred estimate. It detects inactive or bot-like follows, searches for high-opportunity tweets in your niche, and recommends targeted replies, quote-tweets, and unfollows. It also offers scheduling and a weekly report to track progress and ratio improvements.

When to use it

  • After a sudden drop in impressions or reach
  • When follower growth stalls or feels low-quality
  • Before a product launch or growth push
  • When cleaning up your following list to improve signal
  • To find high-leverage reply and quote-tweet opportunities

Best practices

  • Prioritize media-first tweets (image, short video, poll, or threads)
  • Reply to every comment quickly—author replies boost visibility
  • Unfollow inactive or non-engaging accounts in staged weekly batches
  • Maintain a content mix: value, engagement, build-in-public, promotion
  • Monitor shadowban status and run full health checks weekly

Example use cases

  • Run a full health audit to lower following/follower ratio below target thresholds
  • Generate daily lists of rising niche tweets to reply to with contextual value
  • Create weekly unfollow plans: inactive accounts, non-engagers, and low-value follows
  • Automate monitoring of target influencers and approve contextual replies
  • Produce weekly performance reports to iterate posting cadence and content mix

FAQ

You can see ratio improvements within weeks; algorithmic lift depends on scale of pruning and consistent content changes.

Do I need cookies or API access?

The system requires an authenticated scraping context (exported cookies or equivalent) to inspect your account and monitor targets.

Can it post or reply automatically?

Yes—interactive modes suggest replies for approval; fully automated posting should be used cautiously and monitored.

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