linkedin-abm-1to1-few-many

linkedin-abm-1to1-few-many is a skill for Claude Code, Codex from swan-gtm/gtm-skills. It costs 71 tokens per session (2,833 once invoked), scanned A, original, MIT.

A guide to three levels of LinkedIn account-based marketing: one specific company, a small named group of companies, or a larger industry segment. It explains how to target companies and contacts and when to personalise the ad creative.

In plain words
What is it for?
Use it to design 1:1, 1:few, or 1:many LinkedIn campaigns, upload company lists, target contacts, personalise ads, and track reach across named accounts.
Why use it?
It helps B2B teams choose an account-targeting approach that matches the size and importance of their sales targets. It also highlights the need to reach enough people within each target company.

Skill for Claude CodeCodex

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

Good fit Use it to design 1:1, 1:few, or 1:many LinkedIn campaigns, upload company lists, target contacts, personalise ads, and track reach across named accounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many
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 swan-gtm/gtm-skills --skill linkedin-abm-1to1-few-many
Clone the repo
git clone --depth 1 https://github.com/swan-gtm/gtm-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 linkedin-abm-1to1-few-many

README.md
[![agentmods](https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many/github.svg)](https://agentmods.dev/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many.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 2,833 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 $0.00071 $0.02833
Opus 5 $0.00036 $0.01417
Sonnet 5 $0.00014 $0.00567
Haiku 4.5 $0.00007 $0.00283

Measured 9d ago against content hash bd9492a1cabb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkedin-abm-1to1-few-many 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 9d 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.

skills/ivan-falco/linkedin-abm-1to1-few-many/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn 1:1 / 1:few / 1:many ABM

The account-based advertising skill for LinkedIn - how to run 1:1 (single whale account), 1:few (named account lists), and 1:many (vertical/segment) campaigns, including personalized 1:1 ad creative.

Core Principle

ABM campaigns are not just about targeting your ideal accounts - they are about reaching them. A perfectly targeted list that only reaches 15% of its companies is wasting 85% of its potential.

ABM Campaign Types

Type Accounts Targeting Method Best For
1:1 Single company Add company name directly to targeting Whale accounts, strategic deals
1:few Up to 10-20 companies Company list upload Named account programs
1:many Multiple companies (industry, segment) Company list or native targeting Vertical campaigns, segment-level ABM

1:1 campaigns: Simply add the company name to your targeting. The simplest approach, but only works for large enough companies with enough LinkedIn members.

1:few and 1:many campaigns: Use list-based targeting for better optimization and performance tracking. You can technically add companies one by one, but lists unlock better analytics.

Lists: Company vs Contact

Company Lists (Recommended)

Company lists are generally preferred for ABM campaigns for three reasons:

  1. Easier to obtain - Contact lists require accurate business emails that match LinkedIn profiles
  2. Better matching - LinkedIn matches company names more reliably than individual email addresses to profiles
  3. Less maintenance - People constantly leave and join companies; company lists stay relevant longer

Contact Lists

Contact lists can still be useful when you have a clear identification of the best people to reach at target companies. They allow more precise targeting of specific roles within accounts.

When to use contact lists:

  • You have verified, high-quality business email lists
  • You need to reach very specific individuals (e.g., named decision-makers)
  • Your ABM motion requires person-level targeting

Read the full file on GitHub · 255 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. 9d ago First seen · 255 lines · 71 tokens per session scan A bd9492a1cabb

Subscribe to this mod's changes

linkedin-abm-1to1-few-many is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 2,833 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 2026-09-03.

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