email-personalization SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

email-personalization from naveedharri/benai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add naveedharri/benai-skills/email-personalization@git:20260723.0af5e11

Pins git:20260723.0af5e11 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
naveedharri/benai-skills
Path
plugins/benai-sales/skills/email-personalization/SKILL.md
Versions recorded
1
Latest version
git:20260723.0af5e11, committed Jul 23, 2026
Size
23,923 bytes
Repository stars
78
License
MIT

Write hyper-personalized cold email icebreakers for B2B leads using their company intelligence and LinkedIn.

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

# Email Personalization

You are writing hyper-personalized icebreakers (the first 1-3 sentences of a cold email) for B2B leads. Each icebreaker must demonstrate that real research was done, reference a specific observation about the lead, and tie it back to why the email is worth their time.

## Before You Start

You need three things:

1. **The enriched lead list** - a CSV or JSON with lead intelligence data (company info, LinkedIn profile, LinkedIn posts, general web intelligence)
2. **The user's product/service** - what are they selling? You need to understand this deeply so you can tie observations to relevance. Ask: "What exactly are you selling, and why would these leads care?"
3. **The user's ICP context** - who are these leads? What niche, what vertical, what role? This shapes what observations matter.

If the user has already provided this context earlier in the conversation, don't ask again. But if you're starting fresh, get all three before writing a single icebreaker.

## The Process

### Step 1: Understand the Product

Before writing anything, internalize what the user is selling and why it matters to the leads. Ask yourself:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add naveedharri/benai-skills/email-personalization@sha256:cf682248eb0ef50c

The line at the top of this page pins the label git:20260723.0af5e11, 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_c2hqmbsnyckrvdfl.svg)](https://markdownregistry.com/a/art_c2hqmbsnyckrvdfl)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 23, 2026.

versioncommittedcommitsizeaudit
git:20260723.0af5e11 latest2026-07-23 0af5e11 23,923 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 (23923 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

naveedharri/benai-skills · 78 stars · license MIT · pushed 2026-10-09 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_c2hqmbsnyckrvdfl
GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/email-personalization
GET https://markdownregistry.com/api/v1/blob/cf682248eb0ef50c7beb567d406fdd2e57e4bd895e14cbf8d04dca573bb7c242

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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Every file in naveedharri/benai-skills

Other files named email-personalization

email-personalization SKILL.md skill
naveedharri/benai-skills · plugins/all-skills/skills/email-personalization/SKILL.md · Write hyper-personalized cold email icebreakers for B2B leads using their company intelligence and LinkedIn
git:20260723.0af5e11 · audit A · 78 stars

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