This repository provides a skill for writing cold emails targeting engineers and technical buyers in developer tools/SaaS, emphasizing conciseness, specificity, and A/B subject lines.

Stars

8

7-day growth

No data

Forks

5

Open issues

0

License

MIT

Last updated

2026-07-29

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It addresses a common pain point in technical outbound sales by offering a configurable, low-cringe approach that respects the recipient's time and focuses on devtools and infrastructure niches.

Who it is for

  • Developer tool and SaaS founders or sales teams
  • Growth marketers targeting technical buyers
  • Freelance sales engineers or SDRs in B2B tech
  • Engineers who occasionally need to send professional outreach

Use cases

  • Crafting a cold email to demo a new API or devtool to a startup CTO
  • A/B testing subject lines for a sequence of 3–5 variant prospecting emails
  • Writing a <80-word ultra-short email to invite an engineer to a technical webinar
  • Generating a bilingual (EN/ZH) email for outreach to Chinese developer audiences

Strengths

  • Deliberately short and specific output reduces cringe and increases reply likelihood
  • Built-in A/B subject line variants with configurable count (1, 3, or 5)
  • Supports multiple output lengths (ultra, short, standard) and CTAs (reply, link, book)
  • Scoped to devtools and infrastructure, avoiding generic sales language

Considerations

  • Designed only for developer tools, infra, AI coding, and technical B2B SaaS — not for consumer or non‑tech products
  • Requires the `npx skills` ecosystem and an agent that supports the skill workflow; not a standalone email tool
  • Deliverable and hard rules are defined in an external SKILL.md file, adding dependency on that document for full usage

README quick start

Cold Email

Write cold emails for developer tools/SaaS: short, specific, low-cringe, A/B subject lines.

中文简介: 你写工程师可能愿意看的开发信:具体、克制。 — 详见 README.zh.md.

What this skill does

  • You write outbound emails engineers might actually read — specific and respectful
  • Scope: Devtools, infra, AI coding, B2B SaaS to technical buyers
  • Deliverable: See SKILL.md deliverable.
  • Triggers: cold email, outbound, sales email, devtools email, prospecting email.

Install

After this package is on GitHub:

npx skills add / --skill cold-email-devtools

Local monorepo: point your agent at skills/cold-email-devtools/ (this folder).

Options

OptionValuesDefault
langen · zh · bilingualen
variants1 · 3 · 53
lengthultra (<80 words) · short · standardshort
ctareply · link · bookreply

Runtime output language follows lang (default en). Skill docs stay EN-primary.

When to use

UseDon't
(see bullets)(see bullets)

Use

  • When you need cold-email-devtools workflow

Don't

  • Out-of-scope tasks listed in SKILL.md

Deliverable

See SKILL.md deliverable.

Full workflow, hard rules, and QA: see SKILL.md.

Example

Monorepo sample (if present): ../../output/samples/cold-email-devtools-example-01.md

License

MIT — see LICENSE.

Related repositories

Similar projects matched by category, topics, and programming language.

MoonshotAI
Featured
MoonshotAI GitHub avatar

Kimi-K3

Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.

AI & Machine LearningAI Agents
3,348
lopopolo
Featured
lopopolo GitHub avatar

harness-engineering

Harness Engineering is a methodology for improving coding agent outputs by carefully crafting the environment around them—providing curated context, tools, and executable constraints that encode an organization’s nonfunctional requirements and cumulative lessons.

AI & Machine LearningAI Agents
2,390
slvDev
Featured
slvDev GitHub avatar

esp32-ai

A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.

AI & Machine LearningLarge Language Models
1,960