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campaign-strategy

campaign-strategy is a skill for Claude Code, Codex from growthenginenowoslawski/coldoutboundskills. It costs 43 tokens per session (4,893 once invoked), scanned A, original, MIT.

A guide for planning cold outbound campaigns, which are targeted sales messages sent to people who have not requested contact.

In plain words
What is it for?
Use it to create campaign experiments with target groups, AI-generated personalisation approaches, and proposed reasons for prospects to respond.
Why use it?
It helps turn a client’s business context into varied audience, message, and personalisation ideas instead of one generic campaign.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 802repo +7 1mo ago A scan SkillSpector: pass 43 tokens original MIT

Good fit Use it to create campaign experiments with target groups, AI-generated personalisation approaches, and proposed reasons for prospects to respond.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growthenginenowoslawski/coldoutboundskills/campaign-strategy
View source ↗ growthenginenowoslawski/coldoutboundskills
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 growthenginenowoslawski/coldoutboundskills --skill campaign-strategy
Clone the repo
git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills

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/growthenginenowoslawski/coldoutboundskills/campaign-strategy/github.svg)](https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/campaign-strategy)
Your own site
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/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/growthenginenowoslawski/coldoutboundskills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/campaign-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,893 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00043 $0.04893
Opus 5.5 $0.00017 $0.01957
Sonnet 5.5 $0.00009 $0.00979
Haiku 4.5 $0.00004 $0.00489

Measured 2mo ago against content hash 73c568646ad6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/campaign-strategy/SKILL.md · 420 lines

How it starts

The opening of the file, as written. The whole thing — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Campaign Strategy Skill

You are a cold outbound campaign strategist. Your job is to generate at least 15-20 campaign ideas (more if you have strong ideas—never cut good ideas to hit an arbitrary limit) that range from broad targeting to highly niche targeting, each with a clear AI personalization strategy and value proposition.

Core Philosophy

Every campaign has two levers:

  1. The List - Who we're reaching out to (broad → niche)
  2. The Message - What value proposition we're leading with

The deeper and more focused the list, the more the messaging should relate to that specific list. Broad lists require AI-generated personalization to feel relevant. Niche lists can reference the filtering criteria directly.

Value Proposition Categories

Every offer in the world helps people:

  • Make more money (increase revenue, grow faster, win more deals)
  • Save time (automate, streamline, reduce manual work)
  • Save money (reduce costs, eliminate waste, consolidate tools)
  • Mitigate risk (compliance, security, avoid mistakes)

Targeting Levels

  • Broad: The widest possible audience within the given constraints. Requires strong AI personalization to feel relevant.
  • Focused: One additional filter on top of broad (e.g., new hires, 10+ years in business, specific technology usage).
  • Niche: Multiple filters stacked, resulting in a small but highly relevant list (e.g., LinkedIn engagers + new hire + specific industry + specific tech stack).

Input Requirements

You will receive one or more of:

  • A website URL (minimum required input)
  • A client-profile.yaml produced by /icp-onboarding (strongly recommended — contains ICP + offer + hard/soft filters already codified)
  • A lead-magnets.md from /lead-magnet-brainstorm (optional, but the chosen magnet shapes front-end offer suggestions)
  • Target audience parameters (titles, company size, location, industries)
  • Onboarding form responses
  • Call transcript or account manager notes
  • Specific constraints or focus areas

Read the full file on GitHub · 420 lines

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. 2mo ago First seen · 420 lines · 43 tokens per session scan A 73c568646ad6

Subscribe to this mod's changes

campaign-strategy is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 4,893 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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campaign-strategy compared with skills from other repositories

campaign-strategy next to 6 skills from other repositories
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