abm-1-to-1

abm-1-to-1 is a skill for Claude Code from LeadMagic/gtm-skills. It costs 76 tokens per session (1,587 once invoked), scanned A, original, MIT.

A high-touch account-marketing process for pursuing 5–15 important business customers individually. Account-based marketing, or ABM, focuses marketing and sales work on named companies rather than a broad audience.

In plain words
What is it for?
Building account plans, researching stakeholders, creating custom content or microsites, arranging executive contact, and planning personalized outreach for selected enterprise accounts.
Why use it?
It organizes detailed research and personalized contact for large potential deals where generic campaigns are not enough.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

Part of the gtm-skills plugin — 196 skills shipped together

Good fit Building account plans, researching stakeholders, creating custom content or microsites, arranging executive contact, and planning personalized outreach for selected enterprise accounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leadmagic/gtm-skills/abm-1-to-1
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 LeadMagic/gtm-skills --skill abm-1-to-1
Clone the repo
git clone --depth 1 https://github.com/LeadMagic/gtm-skills

Made for: Claude Code.

Or install gtm-skills, the plugin that ships this one along with the rest of its 196 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 abm-1-to-1

README.md
[![agentmods](https://agentmods.dev/badge/skills/leadmagic/gtm-skills/abm-1-to-1/github.svg)](https://agentmods.dev/skills/leadmagic/gtm-skills/abm-1-to-1)
Your own site
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/abm-1-to-1"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/abm-1-to-1/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 abm-1-to-1

Your own site · 80×15
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/abm-1-to-1"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/abm-1-to-1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,587 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 $0.00076 $0.01587
Opus 5 $0.00038 $0.00794
Sonnet 5 $0.00015 $0.00317
Haiku 4.5 $0.00008 $0.00159

Measured 7d ago against content hash 60a5cd04e09f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

abm-1-to-1 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check-output.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/abm/abm-1-to-1/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ABM 1-to-1 (Strategic)

Overview

Strategic ABM for 5-15 named accounts where you're pursuing $100K+ ACV deals. This is custom, high-touch, relationship-driven — not automated sequences. You research the account like you're writing a case study about them, then design interactions that feel like the entire company exists to serve this one account.

Authoritative Foundations

  • ITSMA Strategic ABM — Tier-based ABM (1:1 / 1:few / 1:many); measure pipeline from target accounts, not lead volume.
  • Force Management Command of the Message — Command of the Message — persona-specific value narrative and differentiation per stakeholder.
  • John Ruhlin Giftology — Go-deep-not-wide relationship gifting; remarkable personalization beats logo swag.
  • Sendoso Sending Platform — Sending platform for physical touchpoints — address verify, warehouse, CRM triggers.

When to Use

  • "Run 1-to-1 ABM on [account]"
  • "Build strategic account plan"
  • "Custom ABM for enterprise"
  • "Named account marketing play"

Step-by-Step Process

Phase 1: Account Deep Dive (2-4 hours per account)

Research across 10+ dimensions:

  1. Financial: Revenue, growth rate, profitability, recent funding/earnings
  2. Strategic: 10-K/earnings call priorities, analyst reports, CEO interviews
  3. Org chart: Economic buyer, champion, influencers, blockers, exec sponsor
  4. Tech stack: BuiltWith/Wappalyzer teardown, gaps your product fills
  5. Initiatives: Hiring patterns, new offices, product launches, reorgs
  6. Competitors: Who they use now, contract renewal timing, dissatisfaction signals
  7. Content: What they read, who they follow, conference talks they give
  8. Network: Board members, investors, advisors — who can make an introduction
  9. Pain points: Specific to their industry, size, and stage
  10. Value hypothesis: Dollarized impact your product would have on their specific business

Phase 2: Account Plan

Build a 1-page account plan:

  • Opportunity hypothesis: What problem do they have, why now, what's the cost of inaction
  • Stakeholder map: Each person's role, power, influence, and current relationship
  • Buying process: Their procurement steps, legal requirements, security review
  • Competitive landscape: Incumbent, competitors, build-vs-buy risk
  • Value prop per persona: Custom messaging for CFO (ROI), CRO (pipeline), CTO (architecture)
  • Engagement calendar: 90-day touch plan with specific plays per week

Read the full file on GitHub · 133 lines

Files

What ships with it

3 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. 7d ago Changed 60a5cd04e09f
  2. 11d ago First seen · 133 lines · 76 tokens per session scan A 6003b485cfc9

Subscribe to this mod's changes

abm-1-to-1 is a skill published in the GitHub repository LeadMagic/gtm-skills (49 stars, last pushed 3d ago), licensed MIT. It adds 76 tokens to every session and 1,587 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 2026-08-30.

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