campaign-strategy

campaign-strategy is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 67 tokens per session (3,860 once invoked), scanned A, original, MIT.

A guide for planning an email campaign for one audience segment. It produces the sequence outline and the specific pieces of information later used to personalize each email.

In plain words
What is it for?
It helps define email sequences, subject-line and opening-message variables, segment-specific angles, and prompts for writing the campaign.
Why use it?
It gives copywriting a clear audience, message, and personalization structure, while avoiding variables that the available data cannot support.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter; positional $N argument.

Good fit It helps define email sequences, subject-line and opening-message variables, segment-specific angles, and prompts for writing the campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ken-technology/cold-email-skills/campaign-strategy
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 campaign-strategy
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 campaign-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/campaign-strategy/github.svg)](https://agentmods.dev/skills/ken-technology/cold-email-skills/campaign-strategy)
Your own site
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/campaign-strategy/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 campaign-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/campaign-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,860 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 $0.00067 $0.03860
Opus 5 $0.00034 $0.01930
Sonnet 5 $0.00013 $0.00772
Haiku 4.5 $0.00007 $0.00386

Measured 12d ago against content hash 1d1b8a93b82c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

campaign-strategy 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 12d 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.

campaign-strategy/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Campaign Strategy Skill

Transform client research into an actionable email strategy for a single segment. Output email sequence blueprints and AI personalization variables for the Email Copywriting skill to execute.

Output Contract

strategy.md is not machine-parsed - it's read by downstream skills (email-copywriting, prompt-writer) for context. Hard rules this skill must honor anyway, since its output flows into files that other tools read:

  • AI variable names must be Title Case with spaces: Subject Line, First Line, PS Line. They become [Title Case] brackets in emails.md and H3 headings in prompts.md - the three have to agree exactly.
  • AI variable names ≤30 chars (enforced in prompts.md by the prompt-writer contract).
  • Never reference data sources personalization tools typically lack (news, funding, events, social media, blogs) - these propagate into prompts.md and break at runtime when the data is not available.

Required Context

Before creating a strategy, always load the client context:

  1. Read {workspace}/research.md - Client research: overview, ICP, value prop, case studies, lead magnets
  2. Read {workspace}/notes.md (if it exists) - Client-specific preferences
  3. Read plan.md from parent directory - Get segment definition, angle, ICP, and testing hypothesis

Directory Structure Reference ({workspace} = the client campaign workspace, default ./cold-email/{slug}/):

{workspace}/
├── research.md       # Client research - ICP, value prop, case studies
├── notes.md          # Optional client preferences and feedback
└── {plan_folder}/    # One per campaign, e.g. "03-15 - plan 1"
    ├── plan.md           # Plan with ICP, segments, angles, testing hypothesis
    ├── 1 - {segment}/
    │   └── strategy.md   # THIS file - segment strategy
    ├── 2 - {segment}/
    │   └── strategy.md
    └── ...

Required Inputs

After loading context, gather:

  1. Segment folder path - e.g., {workspace}/03-15 - plan 1/1 - early-stage/
  2. Plan.md - Read from parent directory of segment folder to get:
    • Broad ICP definition
    • Segment-specific criteria
    • Messaging angle for this segment
    • Testing hypothesis (if any)
  3. Client Research Document - Check {workspace}/research.md or uploads
  4. Campaign Goal - What action to drive:
    • Book demos/meetings
    • Drive traffic to landing page
    • Get replies for qualification
    • Promote lead magnet

Read the full file on GitHub · 401 lines

Files

What ships with it

4 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. 12d ago First seen · 401 lines · 67 tokens per session scan A 1d1b8a93b82c

Subscribe to this mod's changes

campaign-strategy is a skill published in the GitHub repository Ken-Technology/cold-email-skills (3 stars, last pushed 15d ago), licensed MIT. It adds 67 tokens to every session and 3,860 once invoked, about $0.0003 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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