prompt-writer

prompt-writer is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 71 tokens per session (5,599 once invoked), scanned A, original, MIT.

A campaign-planning skill that writes prompts for an AI to personalize cold emails for each prospect. It uses the campaign strategy and its variables to create prompts for an AI tool or language model.

In plain words
What is it for?
Use it after creating a campaign strategy or when adding prompts to an existing email sequence. It helps generate personalized lines such as first lines, subject lines, or postscript lines.
Why use it?
It saves the writer from creating separate personalization instructions for every campaign variable. It also keeps prompt names and formatting consistent with the email workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter; mentions subagents.

Good fit Use it after creating a campaign strategy or when adding prompts to an existing email sequence. It helps generate personalized lines such as first lines, subject lines, or postscript lines.

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Install with agentmods
npx agentmods add skills/ken-technology/cold-email-skills/prompt-writer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ken-Technology/cold-email-skills --skill prompt-writer
Clone the repo
git clone --depth 1 https://github.com/Ken-Technology/cold-email-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prompt-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/prompt-writer/github.svg)](https://agentmods.dev/skills/ken-technology/cold-email-skills/prompt-writer)
Your own site
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/prompt-writer"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/prompt-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prompt-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/prompt-writer"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/prompt-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,599 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.05599
Opus 5 $0.00036 $0.02799
Sonnet 5 $0.00014 $0.01120
Haiku 4.5 $0.00007 $0.00560

Measured 11d ago against content hash 2edbf4c4ebf9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prompt-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

prompt-writer/SKILL.md · 512 lines

How it starts

The opening of the file, as written. The whole thing — 512 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prompt Writer Skill

Generate detailed AI personalization prompts based on campaign strategy AI variables. These prompts instruct your personalization tool or the LLM to create personalized content for each prospect.

Output Contract

prompts.md is the handoff artifact for personalization. Hard rules this skill must honor:

  • ## User Prompts (To output: true) H2 heading - exact phrasing.
  • One H3 per variable using Title Case (### First Line, not ### first_line). H3 name is ≤30 chars.
  • Every H3 must contain a **Prompt**: marker followed by the prompt text.
  • Prompt text ≤4096 chars. Runs until next ### , ## , or ---. Do NOT use --- inside a prompt body - it cuts the prompt short.
  • Variable names must match exactly what emails_v2.md uses in {{Title Case}} braces (e.g. {{First Line}}, {{PS Line}}, {{Subject Line}}).
  • Optional ## Rewriting Instructions H2 at the bottom - a short steering paragraph for a rewriter pass, if you use one.

Plan Folder Resolution

This skill receives a {segment_folder} path (e.g., {workspace}/03-15 - plan 1/1 - early-stage/). Resolve {plan_folder} as the parent directory of {segment_folder} when you need plan-level files such as plan.md.

Execution Tasks

Execute these tasks in order. Do NOT skip any task unless noted.

Task 1: Load Context

  • Read {segment_folder}/strategy.md - Extract AI variables section
  • Read {segment_folder}/emails_v2.md - Reviewed email copy (fall back to emails.md if not found)
  • Read {workspace}/research.md - ICP, value prop, messaging themes, product info, case studies ({workspace} = the client campaign workspace, default ./cold-email/{slug}/ under the current directory)
  • Read {workspace}/notes.md (if exists) - Client-specific preferences

Task 2: Build User Prompts

Note: You write user prompts that generate personalized variables (to_output: true). Company context, base rules, and the email sequence are supporting context for the LLM - pull them from research and the sequence file rather than inventing a separate backend. The default rewriting rules (core principles, style, spam/deliverability, flow) are tool-side if your stack rewrites outputs - you SHOULD still write a short optional steering paragraph for rewriting (see Task 2b). The to_rewrite field on each user prompt controls whether that variable's output should go through a rewriter.

Read the full file on GitHub · 512 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 512 lines · 71 tokens per session scan A 2edbf4c4ebf9

Subscribe to this mod's changes

prompt-writer is a skill published in the GitHub repository Ken-Technology/cold-email-skills (3 stars, last pushed 14d ago), licensed MIT. It adds 71 tokens to every session and 5,599 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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