linkedin-abm-skills
CLAUDE.md26 starsChanged 4 months agoMITView on GitHub
This repository is a collection of four Agent Skills by ZenABM that run a LinkedIn account-based-marketing (ABM) program end to end: plan it, design it, audit it, report it. Each skill is self-contained (SKILL.md + its own references/, assets/, scripts/) and lives under skills/. They are packaged together as one Claude Code plugin and share the ZenABM data connector (.mcp.json). Note on loading: Claude Code does not load a plugin-root CLAUDE.md as context — plugins contribute context through their skills.…
We split this CLAUDE.md into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 43
Use real data when connected: All four skills read live LinkedIn spend, CPC/CPM/CTR, audience size, pipeline and account engagement through …
- Distinctive: line 46
Never fabricate: Do not invent metrics, TLA authors, customer stories or a strategy.
- Distinctive: line 48
Deliver a downloadable artifact: Every skill produces a branded, self-contained HTML document with a Download-PDF button.
- Distinctive: line 53
Treat outputs as directional planning figures,: not precise forecasts — say so on the document.
≈ “Common” is an estimate: at least 1 in 5 of the 25,680 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LinkedIn ABM Skills — operating guide
This repository is a collection of four Agent Skills by ZenABM that run a
LinkedIn account-based-marketing (ABM) program end to end: plan it, design it, audit it, report it.
Each skill is self-contained (SKILL.md + its own references/, assets/, scripts/) and lives under
skills/. They are packaged together as one Claude Code plugin and share the ZenABM data connector
(.mcp.json).
Note on loading: Claude Code does not load a plugin-root
CLAUDE.mdas context — plugins contribute context through their skills. This file is documentation for humans and for anyone who opens the repo directly as a project. Each skill routes itself through thedescriptionin its ownSKILL.md; the table below just makes that routing legible in one place.
The skills
| Skill | Use it when the user wants to… | Core deliverable |
abm-strategy-planning | plan a new campaign, size a budget, decide how many ads/campaigns to run, before spending | A branded "[Company] LinkedIn ABM Strategy" (HTML → PDF): budget math, audience sizing, campaign structure, ad plan, best practices |
abm-campaign-execution | execute a finished strategy — build the actual ads, briefs and mockups | A campaign outline, one briefs document per ad, on-brand image-ad mockups (HTML + PNG), optional Notion database |
linkedin-abm-audit | audit / grade / fix their own LIVE ads from the last 30 days of spend | A branded "[Company] LinkedIn Ads & ABM Audit" (HTML → PDF) with a prioritized fix list |
linkedin-abm-report | a monthly performance report for the last full calendar month, month-over-month | A shareable "[Company] LinkedIn ABM Ad Report — [Month Year]" (HTML → PDF) |
The ABM journey
Strategy → Design → Launch → Audit → Report
(plan) (execute) (LinkedIn) (fix) (recap)Skills feed into each other: strategy decides what to run, execution decides what each ad says and looks like, audit grades what's live, report recaps the month. Use them together, or reach for the one that matches the request.
Routing (do-not-confuse)
- Plan a new campaign / budget →
abm-strategy-planning(not audit/report — nothing is live yet). - Build the ads from a plan →
abm-campaign-execution(needs a strategy in the conversation first). - "Are my live ads any good / what do I fix" (trailing 30 days) →
linkedin-abm-audit. - "Report on last month" (full calendar month, MoM) →
linkedin-abm-report.
Operating principles
- Use real data when connected. All four skills read live LinkedIn spend, CPC/CPM/CTR, audience size,
pipeline and account engagement through the ZenABM MCP (
https://app.zenabm.com/api/mcp, bundled in.mcp.json). Prefer real numbers over benchmarks; fall back to benchmarks and say so on the document. - Never fabricate. Do not invent metrics, TLA authors, customer stories or a strategy. Ask, or pull from ZenABM. State assumptions and footnote defaults.
- Deliver a downloadable artifact. Every skill produces a branded, self-contained HTML document with a Download-PDF button. Design for light mode; inline CSS/JS.
- Follow the skill, in order. Each
SKILL.mdis the source of truth for its steps, formulas and templates. Work through multi-step skills sequentially — present, get feedback, advance; don't dump everything at once. - Treat outputs as directional planning figures, not precise forecasts — say so on the document.
ZenABM connector
The skills work with smart benchmarks and no account, but shine with the user's real data. To connect:
start a free trial (no credit card) at https://app.zenabm.com/signup and approve the ZenABM connector
when Claude prompts. The connector is defined once at the repo root in .mcp.json and shared by every skill.
Repository layout
.
├── README.md # front door: what each skill does + how to install
├── CLAUDE.md # this file: routing + operating principles
├── LICENSE # MIT
├── .mcp.json # ZenABM data connector (shared by all skills)
├── .claude-plugin/
│ ├── plugin.json # one plugin, bundles the four skills
│ └── marketplace.json # makes this repo an installable marketplace
└── skills/
├── abm-strategy-planning/ # SKILL.md + references/
├── abm-campaign-execution/ # SKILL.md + references/ + assets/ + scripts/ + evals/
├── linkedin-abm-audit/ # SKILL.md + references/ + assets/
└── linkedin-abm-report/ # SKILL.md + references/ + assets/In this repository4 other files it gives its agents.
- abm-campaign-executionSkill
- abm-strategy-planningSkill
- linkedin-abm-auditSkill
- linkedin-abm-reportSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

