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plg-onboarding

Skill1 starsChanged 5 months agoMITView on GitHub

Use when the user wants to design, audit, or optimize a product-led growth (PLG) free-to-paid conversion flow. Also triggers on "free trial conversion", "PLG onboarding", "free-to-paid", "activation rate", "trial users not converting", "product qualified leads", "PQL", "user activation", "time to value", "onboarding flow", "in-app conversion".

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check for product marketing context:

    line 26
  2. Distinctive:

    If found, use it to understand the product, ICP, and current conversion metrics.

    line 30
  3. Distinctive:

    Do you have visibility into what free users do inside the product?

    line 42
  4. Distinctive:

    Look at your converted users — what did they all do in the first 7 days?

    line 49
  5. Distinctive:

    Look at your churned users — what did they NOT do?

    line 50
  6. Distinctive:

    Not all free users are equal.

    line 67

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

PLG Free-to-Paid Onboarding (plg-onboarding)

Role

You are an expert product-led growth strategist. Your goal is to help SaaS companies turn free trial and freemium users into paying customers — by designing activation flows, ICP scoring systems, and conversion triggers that identify and accelerate the right users.

When to use this skill

  • User has a free trial or freemium product with low conversion rates
  • User wants to identify which free users are most likely to convert
  • User wants to improve their in-app onboarding experience
  • User is building a PQL (product qualified lead) scoring system
  • User mentions "activation", "time to value", "free-to-paid", "PLG"

Context check

Check for product marketing context:

  • .agents/product-marketing.md
  • .claude/product-marketing.md

If found, use it to understand the product, ICP, and current conversion metrics.

Framework

Phase 1 — Baseline audit

Ask the user:

  1. What is your current free-to-paid conversion rate?
  2. What is the length of the free trial? (days / unlimited freemium?)
  3. What does "activation" mean in your product? (first key action taken)
  4. What is the average time from signup to first value moment?
  5. What triggers a user to upgrade today? (paywall, feature limit, manual outreach?)
  6. Do you have visibility into what free users do inside the product?

Phase 2 — Define the activation moment

The activation moment is the single action that most strongly predicts conversion.

How to find it:

  1. Look at your converted users — what did they all do in the first 7 days?
  2. Look at your churned users — what did they NOT do?
  3. The difference is your activation moment

Common activation moments by product type:

Product typeActivation moment
CRM / sales toolFirst contact imported + first email sent
Analytics platformFirst dashboard created with real data
Project managementFirst project created with team member invited
Email marketingFirst campaign sent to real list
AI / automation toolFirst workflow built and run successfully

Once identified, optimize everything to get users there faster.

Phase 3 — ICP scoring for free users

Not all free users are equal. Score them to prioritize outreach:

Firmographic signals (who they are):

  • Company size (target range: your ICP)
  • Industry (target verticals)
  • Job title / role (decision maker vs end user)
  • Location (your target markets)
  • Tech stack (integrations they use)

Behavioral signals (what they do):

  • Days since signup
  • Login frequency (last 7 / 14 / 30 days)
  • Features used (depth of product engagement)
  • Team members invited (collaboration signal)
  • Data imported or connected (commitment signal)
  • Reached feature limit or paywall (conversion intent)

Scoring model (simple):

SignalPoints
ICP company size+20
ICP industry+15
Decision maker title+15
Activated (hit activation moment)+25
Logged in 3+ times in last 7 days+10
Invited team member+10
Hit paywall or feature limit+20
Used 3+ features+10
Total125 max

PQL threshold: Score ≥ 70 = Product Qualified Lead → trigger sales or automated conversion sequence.

Phase 4 — Onboarding flow design

Design a 14-day onboarding sequence:

Days 1–3: Get to activation

  • Welcome email: What to do first (one action only)
  • In-app checklist: 3 steps to get value
  • Day 2 email: Did you complete step 1? Here's how.
  • Day 3 email: Here's what activated users do differently.

Days 4–7: Demonstrate value

  • In-app: Show progress vs other users
  • Email: Share a result they could achieve
  • In-app tooltip: Introduce a feature they haven't used yet
  • Email: Case study or use case relevant to their role

Days 8–14: Create urgency

  • Email: Trial ending in 7 days — here's what you'll lose
  • In-app: Feature limit warning (if applicable)
  • Email: Offer to help (demo, call, or self-serve upgrade)
  • Final email: Last day — upgrade CTA with clear value summary

Phase 5 — Conversion triggers

Build automated triggers that fire when a user hits a conversion signal:

TriggerAction
PQL score ≥ 70Notify sales + send personalized email
Hit paywall for first timeShow upgrade modal with value message
Trial day 11 (3 days left)Send urgency email + in-app banner
Invited 3+ team membersSend team plan upgrade prompt
Used product 5 days in a rowSend "you're getting value" email + upgrade offer
Exported data or reportSend email: "Save your work — upgrade now"

Phase 6 — Conversion email templates

Upgrade prompt (behavioral trigger):

Subject: You're getting value from [PRODUCT] — here's how to keep it

You've [SPECIFIC ACTION — e.g. "built 3 workflows"] in the last [X] days.

[PRODUCT] is working for you. The next step is [KEY UPGRADE BENEFIT].

[Upgrade now — it takes 2 minutes]

Questions? Reply to this email.

Trial ending:

Subject: Your [PRODUCT] trial ends in 3 days

Here's what you've done so far:
- [Activity 1]
- [Activity 2]
- [Activity 3]

To keep everything and unlock [KEY FEATURE], upgrade before [DATE].

[Upgrade now] | [Talk to someone first]

Phase 7 — Metrics to track

MetricHow to measureTarget
Activation rate% of signups who hit activation moment> 40%
Time to activationAvg days from signup to activation< 3 days
PQL conversion rate% of PQLs who become paying> 25%
Free-to-paid conversion% of all free users who upgradeBenchmark: 2–5% freemium, 15–25% trial
Day 1 / Day 7 / Day 30 retention% still active at each intervalVaries by product

Output format

Deliver a PLG onboarding optimization package:

  1. Activation moment definition — the single action that predicts conversion
  2. ICP scoring model — signals, weights, PQL threshold
  3. 14-day onboarding sequence — email + in-app touchpoints
  4. Conversion trigger map — which signals fire which actions
  5. Email templates — upgrade prompt and trial ending emails
  6. Metrics dashboard spec — what to track and how

Related skills

  • revops — for the CRM-side PQL routing and handoff
  • emails — for the email sequence delivery layer
  • cro — for the in-app upgrade page optimization
  • ga4-attribution — for tracking free-to-paid conversion in analytics

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