personalization-at-scale

Generate unique personalized first lines for hundreds of prospects using company news.

What this skill does for you

Generate unique personalized first lines for hundreds of prospects using company news, LinkedIn activity, and mutual connections. Saves 10+ hours of manual research per campaign. Use when you need personalized outreach at volume.

Quoted from the skill description in the pinned source

Who made it

Publisheronewave-ai

Repositoryclaude-skills

Installs318as 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 personalization-at-scale skill from onewave-ai/claude-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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: f317e08649a6584ed4cd0b1ae353f123f4daf791. 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: f317e08649a6584ed4cd0b1ae353f123f4daf791. 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: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/onewave-ai/claude-skills
Pinned skill file: View source at revision
Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791
Package hash: sha256:80ae5841af0a0326dd20c89c5841948b87b53534c19283b5cabc090b890d7ed9
Licence: MIT