How do I install the Personalization At Scale skill?

Run npx skillmds add onewave-ai/personalization-at-scale in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Personalization At Scale safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Personalization At Scale?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Personalization At Scale free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Personalization At Scale?

onewave-ai (@onewave-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Personalization At Scale by onewave-ai

Name: Personalization At Scale
Rating: 4.5 (4 reviews)
Author: onewave-ai

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.

onewave-ai 15f72bb 7 files · 17.0 KB Updated Sep 9, 2026

File contents

Personalization at Scale

Generate hundreds of unique, researched first lines in minutes instead of hours, making cold outreach feel warm.

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.

---name: personalization-at-scaledescription: 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.---# Personalization at ScaleGenerate 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## Workflow1. 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.2. Confirm preferences: which personalization styles to prioritize (1-3), tone (professional, casual, direct, consultative), and any exclusions (recency cutoff, personal topics, sensitive subjects).3. Research each prospect across the sources in `references/research-sources.md`. Identify the strongest, most recent, verifiable angle per prospect.4. 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`.5. 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`.6. Quality-check the first 10 manually. Confirm each line is specific, recent, relevant, natural, and verifiable before scaling the batch.7. Export in the requested format: CSV with personalization columns, merge fields for the outreach tool (Outreach, Salesloft), individual drafts, or copy-paste blocks.8. 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.

Frequently asked questions