product-delivery

Plan staged product bet rollouts with metrics hierarchies and retrospectives.

65|11|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/ericgandrade/claude-superskills --skill product-delivery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-delivery
Source: https://github.com/ericgandrade/claude-superskills/tree/main/skills/product-delivery
Command: npx skills add https://github.com/ericgandrade/claude-superskills --skill product-delivery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning and executing bets with measurable outcomes can be risky and iterative. This skill provides a Delivery System framework to align discovery and delivery, enable staged rollouts, design a clear metrics hierarchy, and integrate GTM and retrospectives into one end-to-end workflow.

Core Features & Use Cases

  • Dual-track development: discover and deliver bets in parallel to accelerate learning.
  • Staged rollout planning: internal dogfooding to GA with guardrails and feature flags.
  • Metrics hierarchy & bet retrospectives: leading/core/lagging metrics plus explicit Scale/Iterate/Kill decisions.
  • GTM integration: documentation, enablement, and communications as part of delivery.

Quick Start

Ask Claude to design a staged rollout plan for a new feature.

Frequently Asked Questions about product-delivery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan a staged rollout for a new feature with guardrails?

Staged rollout planning structures delivery phases from internal dogfooding to general availability using feature flags and predefined guardrail metrics. This controlled rollout process minimizes risk by validating outcomes at each stage before expanding user exposure.

What is dual-track development and how does it manage product bets?

Dual-track development is a workflow framework that runs discovery and delivery in parallel to accelerate product learning. By managing product bets concurrently, teams validate hypotheses and measure outcomes continuously rather than sequentially.

How do I design a metrics hierarchy for bet retrospectives?

A metrics hierarchy for bet retrospectives organizes measurements into leading, core, and lagging indicators to evaluate product bets. This structured approach informs explicit Scale, Iterate, or Kill decisions based on measured outcomes.

Can I integrate GTM execution into my product delivery workflow?

Yes, GTM execution integrates directly into the product delivery workflow through documentation, enablement, and communications. This integration aligns go-to-market activities with staged rollouts, ensuring delivery and market readiness happen cohesively.

When do I need a centralized learning repository for product delivery?

A centralized learning repository is needed when executing iterative product bets that require accumulated knowledge to guide future decisions. It captures outcomes from bet retrospectives and staged rollouts to inform subsequent delivery planning.