b2b-pmm-orchestrator

b2b-pmm-orchestrator is a skill for Claude Code from adam-lagerhausen/b2b-marketing-skills. It costs 49 tokens per session (2,855 once invoked), scanned A, original, MIT.

A routing and planning guide for business-to-business product marketing work. Product marketing explains a product’s value to the right customers and supports sales and launches.

In plain words
What is it for?
It helps route requests about positioning, launches, customer research, sales decks, website reviews, market viewpoints, and broader go-to-market planning to the appropriate workflow.
Why use it?
It helps decide which kind of work is needed before producing an unnecessary document or campaign. It also sequences several marketing tasks when a request covers more than one problem.

Skill for Claude Code

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

Part of the b2b-marketing-skills plugin — 9 skills shipped together

Good fit It helps route requests about positioning, launches, customer research, sales decks, website reviews, market viewpoints, and broader go-to-market planning to the appropriate workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adam-lagerhausen/b2b-marketing-skills/b2b-pmm-orchestrator
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 adam-lagerhausen/b2b-marketing-skills --skill b2b-pmm-orchestrator
Clone the repo
git clone --depth 1 https://github.com/adam-lagerhausen/b2b-marketing-skills

Made for: Claude Code.

Or install b2b-marketing-skills, the plugin that ships this one along with the rest of its 9 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 b2b-pmm-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/adam-lagerhausen/b2b-marketing-skills/b2b-pmm-orchestrator/github.svg)](https://agentmods.dev/skills/adam-lagerhausen/b2b-marketing-skills/b2b-pmm-orchestrator)
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/adam-lagerhausen/b2b-marketing-skills/b2b-pmm-orchestrator"><img src="https://agentmods.dev/badge/skills/adam-lagerhausen/b2b-marketing-skills/b2b-pmm-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,855 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 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 $0.00049 $0.02855
Opus 5 $0.00024 $0.01427
Sonnet 5 $0.00010 $0.00571
Haiku 4.5 $0.00005 $0.00285

Measured 12d ago against content hash 083f708991c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

b2b-pmm-orchestrator 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 12d 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/b2b-pmm-orchestrator/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

B2B PMM Orchestrator

When to use

Use this skill first when the user has a B2B product marketing problem but has not already named the exact downstream skill or workflow.

Use it for requests like:

  • "Help me with positioning."
  • "We need a launch plan."
  • "Turn these customer notes into messaging."
  • "Make this sales deck better."
  • "What should our GTM story be?"
  • "Review this landing page."
  • "We need a category POV."
  • "Help us build the full GTM system for this product."

This is not a content-generation skill. It is the front door, router, and sequencing layer for the rest of the B2B PMM skill suite.

Core principle

Do not make artifacts just because the agent can.

Move the GTM system forward.

Before choosing a skill, identify:

  • What decision needs to be made?
  • What asset needs to ship?
  • Who is the audience?
  • What evidence exists?
  • What is the highest-leverage next artifact?
  • What would be overkill right now?

The best PMM work starts with judgment, not output volume.

Skill routing

Use this table to choose the right downstream skill.

User situation Use this skill Why
Raw customer calls, notes, sales feedback, interviews, win/loss notes, surveys, support themes, or research voice-of-customer-synthesis Turns messy customer evidence into PMM inputs: pains, triggers, jobs, alternatives, objections, exact language, proof, and implications.
Need sharper positioning, messaging, homepage copy, one-liner, ICP clarity, value proposition, or differentiated narrative positioning-messaging-framework Makes the core choices: segment, buyer, alternative, differentiated value, proof, positioning statement, and messaging pillars.
Need a sales deck, sales story, founder pitch, first-call narrative, or executive/investor narrative sales-narrative-deck Turns positioning into a story a seller can actually use in conversation.
Need a launch plan, launch tier, roadmap GTM strategy, feature announcement plan, or season-of-launch plan launch-tier-framework Decides how much GTM weight a product moment deserves and how to sequence launch activity.
Need customer proof, case study, customer story, sales proof point, reference narrative, or one-pager customer-story-engine Turns customer wins into credible proof without inventing claims.
Need demo flow, sales demo, founder demo, discovery-led demo, or demo narrative demo-storyline Builds demos around buyer pain, realistic data, discovery, proof, and recap.
Need market thesis, thought leadership, category narrative, problem ownership, or strategic POV category-point-of-view Helps define the problem, shift, category frame, narrative pillars, and content system.
Need critique, cleanup, QA, or sharpening of AI-generated marketing work ai-pmm-reviewer Reviews against customer truth, positioning, proof, voice, plain English, and AI tells.

Read the full file on GitHub · 331 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. 12d ago First seen · 331 lines · 49 tokens per session scan A 083f708991c2

Subscribe to this mod's changes

b2b-pmm-orchestrator is a skill published in the GitHub repository adam-lagerhausen/b2b-marketing-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 2,855 once invoked, about $0.0002 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 2026-08-31.

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