This prompt instructs the AI to act as an expert B2B cold email copywriter and, using your provided business inputs (target persona, core problem/value hook, product details, tone preferences, and optional relevance triggers), produce three high-open-rate subject line options plus a concise 100–150 word personalized cold email. The resulting email is designed to feel natural and non-fluffy, lead with an ICP-relevant hook, include a standout insight or stat, connect the offering directly to th...
Scanned 9/12/2026
Install to Claude Code
npx -y skills add BetterPromptme/skills --skill high-conversion-b2b-cold-email-copywriter-prompt --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of High Conversion B2b Cold Email Copywriter Prompt?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/betterpromptme-high-conversion-b2b-cold-email-copywriter-prompt)More formats (shields.io, HTML) on the badges page.
---
name: high-conversion-b2b-cold-email-copywriter-prompt
description: This prompt instructs the AI to act as an expert B2B cold email copywriter and, using your provided business inputs (target persona, core problem/value hook, product details, tone preferences, and optional relevance triggers), produce three high-open-rate subject line options plus a concise 100–150 word personalized cold email. The resulting email is designed to feel natural and non-fluffy, lead with an ICP-relevant hook, include a standout insight or stat, connect the offering directly to the recipient’s pain point, spark curiosity rather than oversell, and finish with a clear low-friction call to action, optionally capped with a brief P.S. for personality or urgency.
compatibility: Requires betterprompt >= 0.1.3
metadata:
openclaw:
homepage: https://github.com/BetterPromptme/skills
emoji: 🧩
requires:
anyBins:
- betterprompt
- bp
os:
- linux
- darwin
install:
- id: node
kind: node
package: betterprompt
bins: [betterprompt, bp]
label: Install BetterPrompt CLI (node)
---
## What it does
This prompt instructs the AI to act as an expert B2B cold email copywriter and, using your provided business inputs (target persona, core problem/value hook, product details, tone preferences, and optional relevance triggers), produce three high-open-rate subject line options plus a concise 100–150 word personalized cold email. The resulting email is designed to feel natural and non-fluffy, lead with an ICP-relevant hook, include a standout insight or stat, connect the offering directly to the recipient’s pain point, spark curiosity rather than oversell, and finish with a clear low-friction call to action, optionally capped with a brief P.S. for personality or urgency.
> For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
## Inputs
### textInputs
Pass each text input using `--input <key>=<value>` flags.
| Variable key | Required? | Description | Defaults |
| --- | ---: | --- | --- |
| `Action` | Required | | (none) |
| `Product` | Required | | (none) |
| `Preference` | Required | | (none) |
| `Target_Persona` | Required | | (none) |
| `Core_topic_or_problem` | Required | | (none) |
| `Trigger_for_relevance` | Required | | (none) |
### Models and options
This skill's modality is: **`text`**.
To discover which `model` values you can use (and which `options` keys/values are valid for each model), run:
```bash
betterprompt resources --models-only --json
```
Then filter the returned JSON array to entries where `modality` is `"text"`.
## How to run
### Step 1: Collect inputs
First, run `betterprompt resources --models-only --json` and filter to `modality: "text"` to discover valid models and available options:
```bash
betterprompt resources --models-only --json
```
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
- Required text inputs:
- `Action`
- `Product`
- `Preference`
- `Target_Persona`
- `Core_topic_or_problem`
- `Trigger_for_relevance`
- Optional: model and options.
- Present the human with the default model **`gpt-4.1-mini`** and its available options. Look up `gpt-4.1-mini` in the `betterprompt resources` output (filtered to modality `"text"`) and show its `availableOptions` as: `key: val1, val2 (default), val3 | key2: ...`. Mark a value `(default)` if it matches these defaults: `{}`.
- If the human does not specify, defaults are used: model `gpt-4.1-mini`, options `{}`. Other models from the resources call are also available.
If any required text input is missing, **ask the human for what's missing**. Do not assume or fabricate values.
### Step 2: Run via BetterPrompt CLI
Use the frontmatter's `name` as the positional argument (for this skill, use `high-conversion-b2b-cold-email-copywriter-prompt`).
Command form:
```bash
betterprompt generate high-conversion-b2b-cold-email-copywriter-prompt \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
```
Notes:
- Pass each text input as a separate `--input <key>=<value>` flag.
- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`gpt-4.1-mini`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{}`**.
- If the run times out, the response will include a `runId` you can use to fetch the result later.
Example (using defaults shown above):
```bash
betterprompt generate high-conversion-b2b-cold-email-copywriter-prompt \
--input Action=<value> \
--input Product=<value> \
--input Preference=<value> \
--input Target_Persona=<value> \
--input Core_topic_or_problem=<value> \
--input Trigger_for_relevance=<value> \
--model gpt-4.1-mini \
--options '{}'
```Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!