cold-email-writer
This skill guides agents to write personalized cold emails to hiring managers and founders that sound human and specific rather than generic pitches.
Community author
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- MIT (permissive)
- Pin
- 02cfefbpinned Oct 9, 2026
- Context cost
- about 1,800 tokenswhen the skill loads
- GitHub stars
- 139on infrasity-labs/dev-gtm-claude-skills
- Scripts
- None found
What it does
“Write personalized cold outreach emails to hiring managers and founders — specific, human, not a pitch deck”
Generated summary from the skill's own text
This skill guides agents to write personalized cold emails to hiring managers and founders that sound human and specific rather than generic pitches. It provides templates and principles for crafting subject lines, hooks based on company research, background context, and closings that demonstrate genuine interest in the role and company. The skill emphasizes finding one specific detail about the company to mention and keeping emails concise while avoiding common mistakes like overconfidence or excessive credential-listing.
When to use it
- Reaching out to hiring managers about unadvertised or referred job openings
- Writing introductory emails to founders or specific companies of interest
- Crafting outreach from candidates in different countries or with experience gaps
- Building cold outreach campaigns with personalized, research-backed messaging
When not to
- Responding to recruiter inbound messages or referrals
- Writing formal cover letters for posted applications
- Creating mass template emails without customization per recipient
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add infrasity-labs/dev-gtm-claude-skills --skill cold-email-writerInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install infrasity-labs/dev-gtm-claude-skills cold-email-writer@02cfefb3a213041de8b80bc659ebc5f17b5e746aInstalls the commit we checked (02cfefb).
Copy by hand
Download the folder at 02cfefb and put it in .claude/skills/cold-email-writer for Claude Code and in .agents/skills/cold-email-writer for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "cold-email-writer" by Infrasity-Labs. Source, pinned to commit 02cfefb3a213041de8b80bc659ebc5f17b5e746a: https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb3a213041de8b80bc659ebc5f17b5e746a/job-search/cold-email-writer 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/cold-email-writer/ for Claude Code and .agents/skills/cold-email-writer/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/infrasity-labs/cold-email-writer
SKILL.md at the pin
---
name: cold-email-writer
description: Write personalized cold outreach emails to hiring managers and founders — specific, human, not a pitch deck
---
# Cold Email Writer
## When to Use This Skill
Use this skill when the user wants to:
- Write a cold outreach email to a hiring manager, founder, or recruiter
- Reach out about a job opening they weren't referred to
- Introduce themselves to a company they want to work at
- Mentions: "cold email", "reach out", "intro email", "outreach", "contact hiring manager"
## Core Principle
Cold emails fail because they sound like cover letters. The goal is to sound like a smart person who genuinely noticed something specific about the company — not a candidate broadcasting their credentials.
**The email should feel like:** A colleague mentioning something interesting they read, not a sales pitch.
## The Template Structure
### Subject
```
Quick intro — [First Name Last Name]
```
Simple. No clickbait. No role title. Just a name.
### Opening — The Hook (2-3 sentences)
Start with what genuinely pulled the candidate in. Must be specific to this company — not a generic compliment.
```
I just came across [Company] and ended up spending more time on it than I expected.
[One specific thing that caught their attention — a stat, a product decision, a market insight from the JD or website]
```
**What makes a good hook:**
- A specific number or stat from the company's materials ("only 5% of the market is online")
- A product decision that shows you understand the domain ("you're building from scratch alongside underwriters, not just distribution")
- A technical insight from the JD ("improving the data infrastructure for LLM usage, not just the model layer")
**What makes a bad hook:**
- Generic: "I love what you're building"
- Vague: "Your mission resonates with me"
- Flattering: "You're one of the most exciting companies in the space"
### Location Disclosure (if international)
If the candidate is in a different country from the company, disclose it early and casually:
```
Before you read further, I should mention I'm based in [country]. But if we both
feel there's a strong fit, I'd be open to figuring things out.
```
### Experience Gap (if applicable)
If the role lists more years than the candidate has, acknowledge it briefly and redirect:
```
The role mentions [X] years of experience — I'm at [Y], but the work I've
shipped is production-facing and I'd rather you judge that directly.
```
### The Body — Who They Are (3-5 sentences)
Current role → relevant past → one or two projects. Keep it contextual, not a list.
```
A bit about me: I currently work at [Company], [one line on what the company does],
where I [what they actually do there — not a job title]. Before that I worked
with teams in [region], mostly around [relevant domain].
On the side I've been building [Project] ([link if applicable]) — [one line: what
it is and one proof point like "got to paying clients" or "20K downloads"].
```
**Rules:**
- Mention work as context, not as proof of greatness
- No achievement listings ("I increased X by Y%") — let the project speak
- If current company is remote with a European/international team, say so explicitly
- Keep project mentions to one or two max — the most relevant ones only
### The Connection (1-2 sentences)
Bridge between their background and the specific role. Should feel like an observation, not a claim.
```
I think you're looking for [what the role actually wants] — that's the kind of
work I've been doing, and honestly I feel like I'd be a strong fit.
```
Or more specific:
```
My stack maps naturally to yours — [specific tech overlap]. But more than the
stack, it's the [domain/problem] that I'm genuinely interested in.
```
### Portfolio Link
```
More about me: [portfolio URL]
```
One line. No elaboration.
### Closing
End with low-pressure, confident energy. Not desperate, not corporate.
```
I'm currently at [Company] and open to what's next. I think my experience lends
nicely to what you're building — so I think we'd both get something out of a
conversation.
[First Name]
[email]
```
**Avoid:**
- "I look forward to hearing from you"
- "Please find attached my resume"
- "I would love the opportunity to..."
- "I am excited to potentially join..."
## Research Before Writing
Before writing the email, gather:
1. **Company angle** — read their website, JD, or About page. Find one specific thing worth mentioning.
2. **Recipient name** — LinkedIn, team page, or AngelList. "Hi [Name]" beats "Hi Hiring Manager" every time.
3. **Relevant projects** — match the candidate's most relevant work to the role domain.
4. **Stack overlap** — mention it only if there's a genuine match.
If the user provides a JD but no company website, ask for it or fetch it before writing.
## Length Guidelines
- **Ideal:** 200–300 words
- **Maximum:** 400 words
- **Minimum:** 150 words (don't strip out substance for brevity)
Longer is fine if every sentence earns its place. Cut anything that could apply to any company.
## Output Format
Always wrap the final email in a plain code block for clean copy-paste:
```
Subject: Quick intro — [Name]
Hi [Name],
[Email body]
[First Name]
[email]
```
## Common Mistakes to Avoid
**Too confident:**
❌ "I would be an exceptional addition to your team"
❌ "My background uniquely positions me for this role"
✅ "I feel like I'd be a strong fit" — states a belief, doesn't claim certainty
**Too humble:**
❌ "I know I may not have all the experience you're looking for, but..."
❌ "I'm just reaching out on the off chance..."
✅ Acknowledge gaps directly and move on — don't apologize
**Too long:**
❌ Three paragraphs listing every achievement
✅ One paragraph on background, one on the connection
**Too generic:**
❌ Opening with "I am writing to express my interest in..."
✅ Opening with what specifically pulled them to this company
**No research:**
❌ "I love your product and mission"
✅ "The 5% stat — only 5% of a $25B market online — doesn't feel like a feature gap, it feels like an entire industry that hasn't digitised"
## Example Email
```
Subject: Quick intro — Sarah Chen
Hi Marcus,
I just came across Meridian and spent more time on your site than I planned.
What pulled me in was the framing around your data infrastructure — you're not
just building an LLM layer on top of existing records, you're rethinking how
clinical data flows through the system in the first place. That's a harder
problem and a more interesting one.
I'm based in India, flagging that upfront. Happy to figure out the rest if
there's a real fit.
I currently work at Lune, a London-based climate intelligence company, where I
build event-driven data pipelines and agentic AI workflows for emissions
compliance — regulated, data-intensive systems where reliability isn't optional.
I also built Memos, a RAG system from scratch: hybrid retrieval, reranking,
ChromaDB, FastAPI. And InframetAI, an SDK for LLM cost and latency
observability that came out of seeing what breaks when the data layer isn't
designed around how models actually work.
I think you're looking for engineers who've actually built AI systems end to
end, not just wrapped APIs. That's the work I've been doing.
More about me: yourportfolio.com/about
I'm currently at Lune and open to what's next. I think my experience maps
closely to what you're building — so I think we'd both get something out of
a conversation.
Sarah
sarah@email.com
```
From infrasity-labs/dev-gtm-claude-skills at 02cfefb, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.
View SKILL.md on GitHub at 02cfefbFiles
- SKILL.md7.6 KB · b8b576b5e917
1 file, 7.6 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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