personalization-at-scale
personalization-at-scale is a Cold outreach & sequences skill for AI agents, published by nicepkg in the ai-workflow repository on GitHub. Skillspace rates personalization-at-scale D (62/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 266
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. Generic outbound personalization research method; any sales team could adopt
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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