campaign-strategy

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

A campaign-planning skill that creates many cold-outreach ideas by combining different target groups with different offers and personalization approaches.

In plain words
What is it for?
Choosing who to contact, developing campaign concepts, planning AI-personalized messages, and shaping offers around making money, saving time, saving money, or reducing risk.
Why use it?
It helps turn a client's business context into distinct experiments instead of relying on one broad audience and one message.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the coldoutboundskills plugin — 28 skills shipped together

Good fit Choosing who to contact, developing campaign concepts, planning AI-personalized messages, and shaping offers around making money, saving time, saving money, or reducing risk.

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

Made for: Claude Code.

Or install coldoutboundskills, the plugin that ships this one along with the rest of its 28 skills.

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/alexismarasigan/coldoutboundskills/campaign-strategy/github.svg)](https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/campaign-strategy)
Your own site
<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/alexismarasigan/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/alexismarasigan/coldoutboundskills/campaign-strategy"><img src="https://agentmods.dev/badge/skills/alexismarasigan/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.
Origin 100% copy Near-identical to another mod 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

This is a copy

100% identical to campaign-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

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 AlexisMarasigan/coldoutboundskills (5 stars, last pushed 6mo 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. It is 100% identical to campaign-strategy, differing in 0 lines, and is treated as a copy.

Related

campaign-strategy compared with skills from other repositories

campaign-strategy next to 6 skills from other repositories
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campaign-strategyAlexisMarasigan/coldoutboundskillsSkill56mo agoMITA43Claude Code
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