X growth review
Skill mikaelaldy/x-algorithm-skills/skills/growth/x-growth-review
Audit an X growth system. Use when reviewing positioning, content mix, reply strategy, profile conversion, analytics, and fit with public algorithm signals.From its SKILL.md
npx -y skills add mikaelaldy/x-algorithm-skills --skill x-growth-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.5 KB, as published. Nobody here has run it
X Growth Review
Use this to audit an account, plan, or week of activity.
Review Areas
Positioning
- Is the target audience specific?
- Does the account repeat recognizable topics?
- Is the follow promise obvious?
Content
- Does the mix create dwell, replies, reposts, and follows?
- Is there enough proof of work?
- Are posts specific or generic?
- Are opinions useful, not just angry?
Replies
- Is the user replying under the right accounts?
- Do replies add evidence, frameworks, or sharp questions?
- Do replies create profile-click curiosity?
Profile
- Does bio match content?
- Is the pinned post strong?
- Would a stranger know why to follow?
Analytics
- Are winners logged?
- Are winners turned into series?
- Are replies turned into standalone posts?
- Are weak formats stopped?
Output
Return:
- Verdict
- Scores: positioning, content, replies, profile, analytics
- Biggest bottleneck
- Prioritized fixes
- Next 7 days
- 3 experiments
Operating Principle
Treat the public X algorithm as a signal map, not a cheat code. Optimize for posts and replies that earn useful positive actions (dwell, replies, reposts, shares, profile clicks, follows) while avoiding negative actions (not interested, mute, block, report, fast skips).