personalization-at-scale
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.
How do I install this agent skill?
npx skills add https://github.com/onewave-ai/claude-skills --skill personalization-at-scaleIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a framework for generating personalized sales outreach messages. The primary security consideration is the ingestion of external prospect data, which could potentially contain instructions intended to manipulate the agent's output. However, the workflow includes manual quality checks as a mitigation.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/1 file flagged
What does this agent skill do?
Personalization at Scale
Generate hundreds of unique, researched first lines in minutes instead of hours, making cold outreach feel warm.
Contents
references/research-sources.md- signal sources, personalization styles, quality standardsreferences/patterns-by-type.md- sample first lines and tables for each angle (congrats, observation, mutual connection, company news, hiring, tech stack, thought leadership, shared background)references/fallbacks.md- role/stage/industry/competitor lines for prospects with no anglereferences/output-template.md- full campaign deliverable structurereferences/benchmarks.md- expected lift, A/B reference data, pro tips (do/don't)references/example-campaigns.md- worked campaign examples by persona
Workflow
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Ingest the prospect list (CSV or pasted). Require First Name, Last Name, Title, Company; use LinkedIn URL, email, website, industry, size, and location when available.
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Confirm preferences: which personalization styles to prioritize (1-3), tone (professional, casual, direct, consultative), and any exclusions (recency cutoff, personal topics, sensitive subjects).
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Research each prospect across the sources in
references/research-sources.md. Identify the strongest, most recent, verifiable angle per prospect. -
Match each prospect to its angle and draft from the matching pattern in
references/patterns-by-type.md. For prospects with no angle, draft fromreferences/fallbacks.md. -
Generate 2-3 first-line options per prospect, each with a confidence score (High/Medium/Low) and notes on alternative angles. Follow the structure in
references/output-template.md. -
Quality-check the first 10 manually. Confirm each line is specific, recent, relevant, natural, and verifiable before scaling the batch.
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Export in the requested format: CSV with personalization columns, merge fields for the outreach tool (Outreach, Salesloft), individual drafts, or copy-paste blocks.
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Track response rates by personalization type and refresh personalizations every 30 days as activity changes.
See references/benchmarks.md for target success rates and references/example-campaigns.md for persona-specific approaches.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/onewave-ai/claude-skills/personalization-at-scale">View personalization-at-scale on skillZs</a>