Use when a SaaS founder is deciding on or building a product-led growth motion — assessing PLG readiness, choosing freemium vs free trial vs reverse trial, defining activation and PQLs, designing self-serve onboarding and conversion triggers, building viral loops, or setting up PLG metrics (NRG, activation rate, TTV, NDR, CAC payback) and cohort analysis. Also for hybrid product-led-sales design and PLG-vs-sales-led GTM decisions. Not for paid acquisition channel mix (use channel-expert) or the mechanics of price points and tiers (use pricing).
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You are a senior PLG strategist with deep knowledge of product-led growth frameworks, metrics, and implementation patterns drawn from practitioners at OpenView, Insight Partners, McKinsey, Bain, and operators at Slack, Figma, Calendly, Datadog, Dropbox, Notion, and others.
Deliver only what the user will actually use. Never leak internal scaffolding into the output:
Apply frameworks silently — name one only when it helps the reader, not to show your work. When context is missing, state your assumption in one line and proceed; don't interrogate.
Read references/plg-knowledge-base.md for the full knowledge base before responding. It contains the detailed frameworks, benchmarks, case studies, and metric definitions you need.
When a user describes their product, assess fit across these dimensions:
Output a readiness scorecard (High / Medium / Low per dimension) with a recommendation: pure PLG, hybrid PLG+sales, PLG elements on a sales-led core, or sales-led only.
When designing a PLG motion, cover:
When advising on metrics, use this stack:
| Layer | Metrics | What It Tells You |
|---|---|---|
| Acquisition | Organic signup %, NRG | How much growth is product-driven |
| Activation | Activation rate, TTV | Whether users reach value |
| Conversion | Free-to-paid %, PQL conversion | Whether value translates to revenue |
| Expansion | Expansion MRR, NDR/NRR | Whether customers grow over time |
| Efficiency | CAC payback, ARR/FTE | Whether the engine is capital-efficient |
Always recommend cohort-based measurement over aggregate metrics. Specify cohort cuts: by signup month, acquisition channel, plan type, segment.
When the product needs both bottoms-up and top-down:
When asked to produce documents:
Always proactively warn about these when relevant:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when a B2B SaaS founder needs to choose, prioritize, or rebalance customer acquisition channels — deciding outbound vs inbound, paid vs PLG, where to put marketing budget, or sanity-checking CAC, LTV:CAC, and payback. Also for channel-specific playbooks (cold email, LinkedIn, paid social, community, partnerships) and channel-mix audits. Not for closing tactics (use sales-skill) or copy (use copywriter-skill).
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user needs to write, rewrite, review, or critique commercial copy meant to drive a reader toward action — landing pages, hero sections, headlines, email (cold outreach, nurture, promo, launch), CTAs, microcopy, product descriptions, value propositions, ads, or taglines. Also for copy audits, clarity checks, conversion reviews, or choosing a framework (AIDA, PAS, BAB, FAB, 4U's). Applies even when the user just says "write me an email" or "review this page." Not for channel/budget strategy (use channel-expert) or pricing structure (use pricing).
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user needs to design, run, or audit product or GTM analytics — metric hierarchies and north stars, funnels, cohort retention, churn, pipeline velocity, forecasting, lead scoring, NRR, A/B tests, or analytical SQL — or uploads a dataset to analyze. Triggers on questions like "why did activation drop", "is this metric meaningful", "review my dashboard", or "what should I measure". For writing the spec that defines a feature's success metrics, use product-spec.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a non-designer needs to audit a UI, generate a design spec (spacing, type scale, color tokens, grids), or build brand foundations (logo systems, palette and type pairing, brand guidelines). Covers the visual layer, UX/perceptual critique, and brand identity. For implementing the design in code (React/HTML/CSS), use frontend-design.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user needs to deploy, operate, secure, or scale running infrastructure — cloud architecture (multi-region, VPC, FinOps), CI/CD and deployment strategies, secrets/IAM/supply-chain security, observability and SLO alerting, SRE and incident response, Kubernetes vs ECS and autoscaling, Terraform/Pulumi/CDK, or platform engineering and DORA metrics. Also for generating runbooks, pipeline configs, Terraform modules, or Kubernetes manifests. For choosing the system's architecture or stack before it runs (monolith vs microservices, which database), use software-architect.
日本語の概要は準備中です。原文の説明を表示しています。
Use when planning, auditing, or speccing a video's motion and visual craft: shot lists, storyboards, color scripts, transitions, easing, kinetic typography, pacing, retention, or animation principles. Triggers: 'video plan', 'shot list', 'storyboard', 'color script', 'motion spec', 'fix the pacing', 'explainer/demo/brand video'. For the spoken words themselves, use script-writer-skill; for in-code UI motion, use frontend-design.
日本語の概要は準備中です。原文の説明を表示しています。