design-compounder

Extracts artifact-backed design lessons from completed sprint outcomes for cross-sprint knowledge updates.

28|2|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/thompson0012/agents-stack --skill design-compounder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-compounder
Source: https://github.com/thompson0012/agents-stack/tree/main/templates/.agents/skills/frontend-design/design-compounder
Command: npx skills add https://github.com/thompson0012/agents-stack --skill design-compounder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

You are the learning phase of the design harness. Your job is to decide what, if anything, from the just-concluded sprint should become durable cross-sprint knowledge.

Core Features & Use Cases

  • Explicitly evaluates sprint outcomes to extract artifact-linked, cross-sprint design learnings.
  • Updates durable knowledge stores (memory, design references) without re-opening runnable sprint slots.
  • Operates as a non-runnable governance step that guides future design work and documentation.

Quick Start

Queue the completed sprint feature in compound_pending_feature_ids and instruct the compounder to extract enduring design lessons.

Frequently Asked Questions about design-compounder

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

FAQPage Schema
How do I preserve design learnings from a completed sprint for future projects?

To preserve design learnings from a completed sprint, you queue the finished feature IDs and extract artifact-backed lessons into durable memory and design references. This process evaluates sprint outcomes to capture cross-sprint knowledge without re-opening runnable sprint slots.

What is the best way to capture cross-sprint design knowledge with provenance?

Capturing cross-sprint design knowledge with provenance requires enforcing checks that accept only artifact-backed lessons from sprint outcomes. This governance step updates durable knowledge stores, ensuring future design work and roadmaps rely on verified evidence.

How do I update design references after a sprint without triggering rework?

You update design references after a sprint by aligning extracted lessons with the compound_pending_feature_ids queue. This non-runnable governance step updates memory stores while explicitly avoiding the re-opening of runnable sprint slots to prevent rework.

Do I need linked artifacts to extract durable design lessons from sprint outcomes?

Yes, linked artifacts are required to extract durable design lessons from sprint outcomes. The extraction process enforces provenance checks and accepts only artifact-backed lessons to ensure the captured cross-sprint knowledge is verifiable and durable.

Can I use sprint outcomes to guide future design roadmaps and reviews?

Yes, you can use sprint outcomes to guide future design roadmaps and reviews by extracting durable learnings into memory and design references. This captured knowledge operates as a governance step that informs and aligns future design documentation.

When should I avoid using a design compounding step for sprint knowledge capture?

You should avoid using a design compounding step when sprint outcomes lack linked artifacts or provenance evidence. The process strictly enforces provenance checks and rejects lessons without artifact backing, making it unsuitable for undocumented sprint results.