Edge Copy setup link
Skill evidence / tweet-writer
Skill profile

tweet-writer

Write high-engagement tweets and X/Twitter threads.

What this skill does for you

Write high-engagement tweets and X/Twitter threads, grounded in live research of what's currently working in the user's niche: researches viral examples via web search, then drafts hook variants, a single-tweet version, and a thread version with alternates to test. Use when the user says 'write a tweet about X', 'turn this into a thread', 'help me go viral', 'grow my X/Twitter account', 'my tweets get no engagement', or shares an idea/article to tweet : any X/Twitter content request. Produces a Tweet Package: 3 hook options, final single tweet, full thread, and posting notes.

Quoted from the skill description in the pinned source

Who made it

Publishersanky369
Installs314as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the tweet-writer skill from sanky369/vibe-building-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: e9714d8decbc9a76eaab3bd85866117b8010e9bc. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: e9714d8decbc9a76eaab3bd85866117b8010e9bc. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: e9714d8decbc9a76eaab3bd85866117b8010e9bc. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/sanky369/vibe-building-skills
Pinned skill file
View source at revision
Revision
e9714d8decbc9a76eaab3bd85866117b8010e9bc
Package hash
sha256:1b9def9a52ff370a9e53bde2ad1a24043e634b5f4b6671976c9a01b49dadea09
Licence
MIT