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.

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Repository: OneWave-AI/claude-skills
Last source activity: June 8, 2026 at 01:17
Detected SKILL.md language: English
Stars: 256
Forks: 42

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npx skills add https://github.com/OneWave-AI/claude-skills --skill personalization-at-scale

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SKILL.md

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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 standards

references/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 angle

references/output-template.md - full campaign deliverable structure

references/benchmarks.md - expected lift, A/B reference data, pro tips (do/don't)

references/example-campaigns.md - worked campaign examples by persona

Workflow

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.

Confirm preferences: which personalization styles to prioritize (1-3), tone (professional, casual, direct, consultative), and any exclusions (recency cutoff, personal topics, sensitive subjects).

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 from references/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.

Export in the requested format: CSV with personalization columns, merge fields for the outreach tool (Outreach, Salesloft), individual drafts, or copy-paste blocks.

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.