
Gtm Product Led Growth
Choose and operationalize product-led growth versus sales-led GTM, activation, and freemium conversion with testable frameworks.
Overview
gtm-product-led-growth is an agent skill most often used in Launch (also Validate, Grow) that helps solo builders design and test self-serve PLG motions versus sales-led GTM.
Install
npx skills add https://github.com/github/awesome-copilot --skill gtm-product-led-growthWhat is this skill?
- PLG reality check: run parallel PLG vs sales-led motions before committing
- Frameworks for activation, freemium-to-paid conversion, and growth equations
- Triggers for when product complexity demands human touch despite PLG ambition
- Context for developer tools, B2B SaaS, and obvious-value self-serve products
- Documents parallel-test outcome pattern (sales-led can win on ACV) without inventing your metrics
- Parallel PLG vs sales-led test narrative references ~6 months and ~$5K ACV on PLG side in the author’s example—not your
Adoption & trust: 1.4k installs on skills.sh; 34.6k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You are split between PLG and sales-led GTM, freemium is not converting, and you lack a disciplined way to pick channels for a developer or B2B product.
Who is it for?
Indie B2B SaaS and dev-tool founders choosing GTM motion, activation, and freemium strategy with obvious product value and self-serve potential.
Skip if: Pure enterprise-only deals with no self-serve path, or teams that already locked sales-led motion with no appetite to parallel-test PLG.
When should I use this skill?
Deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when complexity needs human touch.
What do I get? / Deliverables
You align on a tested motion (or hybrid), clearer activation and conversion levers, and channel priorities grounded in whether self-serve can carry your complexity and ACV.
- PLG vs sales-led recommendation
- Activation and conversion hypotheses
- Growth channel prioritization notes
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
PLG is shelved under Launch distribution because self-serve acquisition and channel motion are the first place builders explicitly design how the product reaches users without a sales call. Bottom-up and developer-led adoption are distribution problems—who discovers, activates, and expands without human touch.
Where it fits
Decide freemium tiers and whether self-serve can support your target ACV before building checkout.
Design developer-led distribution and parallel-test PLG against a lightweight sales motion.
Tune activation and expansion loops when paid conversion stalls after signups.
How it compares
Strategic GTM skill package—not a landing-page generator or analytics MCP; complements validate pricing work and grow lifecycle experiments.
Common Questions / FAQ
Who is gtm-product-led-growth for?
Solo and indie builders on developer tools and B2B SaaS who need to decide PLG versus sales-led and improve self-serve activation and conversion.
When should I use gtm-product-led-growth?
In Validate when scoping pricing and motion; in Launch when designing distribution and developer-led adoption; in Grow when optimizing expansion and channel mix after initial traction.
Is gtm-product-led-growth safe to install?
It provides business strategy guidance only—review the Security Audits panel on this skill’s detail page before installing any catalog package.
SKILL.md
READMESKILL.md - Gtm Product Led Growth
# Product-Led Growth Build self-serve acquisition and expansion motions. But first, figure out if PLG is even the right motion for your product. ## When to Use **Triggers:** - "Should we build PLG or sales-led?" - "How do we drive self-serve adoption?" - "Freemium to paid conversion isn't working" - "Developer-led adoption strategy" - "Which growth channels should we invest in?" - "How do I know if PLG will work?" **Context:** - Developer tools and platforms - B2B SaaS with self-serve potential - Products where value is obvious without demo - Bottom-up adoption motions - Growth channel prioritization --- ## Core Frameworks ### 1. The PLG Reality Check (Test Before You Commit) **What I Learned Running Both Motions in Parallel:** Classic startup debate. PLG camp: "Developers want self-serve." Sales camp: "Enterprises need hand-holding." Instead of arguing, we tested both for 6 months. Same product, two GTM motions, tracked everything. **The Results:** PLG: High volume, low ACV (~$5K), fast time-to-revenue, higher churn. Sales-led: Lower volume, high ACV (~$50K), slower time-to-revenue, lower churn. **Sales won 10x on dollars despite 10x less volume.** **Why:** Product complexity + buyer seniority = sales-led wins. The product required integration with existing infrastructure, change management across teams, and multi-stakeholder alignment. Developers loved self-serve. But they weren't the economic buyer. **PLG works when:** - Value is obvious in first 5 minutes - Implementation is trivial - Individual user gets value without team buy-in - No procurement/legal hurdles - Buyer = user **Sales-led works when:** - Product requires integration/setup - Multiple stakeholders need alignment - Buyer ≠ user - Deal size justifies human touch - Customer needs education to see value **Before building PLG, test your motion. Don't assume PLG is better because it's trendy.** PLG is efficient at volume, but sales-led can be more profitable with complexity. --- ### 2. The Growth Equation (Map Inputs to Outputs) **The Pattern:** Growth compounds when you systematize the relationship between activities and user acquisition. Not "do more marketing" — map specific inputs to measurable outputs. **How to Build Your Growth Equation:** For each channel, define: Activity (input) → Traffic (output) → Conversions. - **Organic Search:** 1 quality blog post → 400 users/month → 5% conversion = 20 new users - **Paid Ads:** $1K spend at 8% conversion on 100K impressions = 8K clicks → conversions at X% - **Community Events:** 1 event → 60 attendees → 35% conversion = 21 users - **Referral:** 1 integration partner → N referred users → conversions at Y% **Why This Matters:** Once you validate the equation, scaling becomes math. "I need 200 more users next month" → "I need 10 more blog posts" or "I need $5K more ad spend." Without the equation, you're guessing. **Testing the Equation:** 1. Start with hypothesis: "If I create X, it drives Y conversion" 2. Test with small sample: 1 blog post, measure actual conversion 3. Validate: Does reality match hypothesis? 4. Scale with confidence: If yes, increase input 5. Kill if not: 4 weeks of data is enough to decide **Common Mistake:** Guessing at conversion rates without testing. Assuming all users from the same channel are equal quality. Scaling before validating the equation. --- ### 3. Channel Economics (Kill Losers, Double Down on Winners) **The Pattern:** Every channel has economics. Without tracking them, you ove