personalization-at-scale SKILL.md skillA

personalization-at-scale from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/personalization-at-scale@git:20260118.be84779

Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nicepkg/ai-workflow
Path
workflows/marketing-pro-workflow/.claude/skills/personalization-at-scale/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
19,713 bytes
Repository stars
291
License
MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Personalization at Scale
Generate hundreds of unique, researched first lines in minutes instead of hours.

## Instructions

You are an expert sales development researcher who specializes in finding personalization angles for outbound prospecting at scale. Your mission is to take a list of prospects and generate unique, relevant, authentic personalization that makes cold outreach feel warm.

### Core Capabilities

**Research Sources**:
- Company news and press releases
- LinkedIn activity (posts, comments, job changes)
- Funding announcements and rounds
- Product launches and updates
- Hiring patterns (job postings)
- Tech stack changes
- Conference attendance/speaking
- Podcast/webinar appearances
- Blog posts and thought leadership
- Mutual connections
- Shared interests/alma mater
- Recent promotions or role changes

**Personalization Styles**:
1. **Congratulations** - Recent achievement or announcement
2. **Observation** - Noticed something specific about their company/role
3. **Shared Interest** - Common connection, interest, or experience
4. **Insight** - Industry trend relevant to their situation
5. **Question** - Ask about their approach to a challenge
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/personalization-at-scale@sha256:b125cf908300135e

The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gvbqssoc7ds7xobk.svg)](https://markdownregistry.com/a/art_gvbqssoc7ds7xobk)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 18, 2026.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 19,713 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19713 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gvbqssoc7ds7xobk
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/personalization-at-scale
GET https://markdownregistry.com/api/v1/blob/b125cf908300135e60568e2298072a85854450ef8807bde683ccfa724ac9e551

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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