This is a surprisingly comprehensive pricing playbook that treats pricing like the strategic lever it is. You get frameworks for choosing value metrics (per-seat vs. usage vs. flat), tier structure with actual anchor pricing ratios, and research methods like Van Westendorp and MaxDiff for gathering willingness-to-pay data. It walks through freemium vs. free trial tradeoffs, pricing psychology tactics, and expansion mechanics tied to usage triggers. The workspace integration is smart: it reads your brand and audience context first, then generates pricing recommendations or tier structures as markdown artifacts. If you're building a SaaS product or advising founders on monetization, this gives you the mental models and templates to make defensible pricing decisions instead of guessing.

skills.sh installs
249
GitHub stars
110
last updated
Aug 21, 2026

Install

$ npx -y skills add manojbajaj95/claude-gtm-plugin --skill pricing-strategy --agent claude-code

Installs into .claude/skills of the current project.

Files

Pricing Strategy

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Expert guidance on SaaS pricing, value metrics, tier structure, pricing research, and monetization.

Before Starting

Sponsors

Details

Repository
github.com/manojbajaj95/claude-gtm-plugin
Categories
Data Science & ML, Sales & Marketing
First seen
Jun 3, 2026

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