Agent skill · marketing growth · borghei
x-twitter-growth
This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or "create a Twitter content strategy".
Why this skill is useful
Adds 3 executable scripts for analyzing tweet performance, structuring threads, and tracking engagement metrics that aren't commonly known.
What it needs
Requires python installed locally. Requires twitter account access. About 3k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
X/Twitter Growth Skill Overview Production-ready X/Twitter growth toolkit for analyzing tweet performance patterns, structuring optimal threads, and tracking engagement metrics. Designed for creators, marketers, and brand accounts looking to grow audience and engagement systematically through data-driven content decisions. Clarify First Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Deliverable — content performance audit, thread building, or growth review — selects which tool runs [ ] Data or source content — exported tweet/analytics CSV (for audits) or the long-form draft (for threads) — required input for the chosen tool [ ] Niche & audience — the one topic and who you're growing — shapes the hook and content pillars [ ] Growth goal — followers, engagement, or replies — sets which benchmark and CTA to optimize for Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. Quick Start Tools Overview Tool Purpose Input Output ------ --------- ------- -------- tweetanalyzer.py Performance pattern analysis CSV with tweet data Engagement patterns + insights threadbuilder.py Thread structuring Text file or JSON Formatted thread + hooks growthtracker.py Growth & engagement tracking CSV with analytics data Growth report + best times Workflows Workflow 1: Content Performance Audit 1. Export tweet data from X Analytics or third-party tool as CSV 2. Run tweetanalyzer.py to identify top-performing patterns 3. Identify which content types, formats, and topics drive engagement 4. Use insights to refine content strategy and posting schedule 5. Re-audit monthly to track improvement Workflow 2: Thread Creation Pipeline 1. Draft long-form content in text or markdown format 2. Run threadbuilder.py to split into optimal thread structure 3. Review hook tweet (tweet 1) for maximum engagement potential 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/x-twitter-growth