design-compounder

Consolidate design sprint learnings into cross-sprint knowledge artifacts.

28|2|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/labs21-dev/agents-stack --skill design-compounder-labs21-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-compounder
Source: https://github.com/labs21-dev/agents-stack/tree/main/templates/.agents/skills/frontend-design/design-compounder
Command: npx skills add https://github.com/labs21-dev/agents-stack --skill design-compounder-labs21-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Design Compounder consolidates decisive, artifact-backed learnings from sprint design outcomes into cross-sprint knowledge, ensuring durable insights survive across future cycles without rehashing conversations.

Core Features & Use Cases

  • Artifact-backed consolidation: extracts concrete lessons from sprint decisions (design-qa.md verdicts, design-handoff.md evidence, and design.md criteria) and preserves provenance.
  • Scoped reference updates: optionally updates .agents-stack/reference/design.md and related scoped references to codify durable decisions.
  • Deterministic learning handoff: writes durable insights to the session log and clears the queued feature in tracked-work.json to complete the handoff.

Quick Start

Provide the design sprint's compound_pending_feature_id to trigger compounding; the worker will read decisive sprint files, produce durable learnings, and update session logs and references as needed.

Frequently Asked Questions about design-compounder

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

FAQPage Schema
How do I consolidate design learnings across multiple sprints?

Cross-sprint design learnings are consolidated by reading decisive sprint files such as design-qa.md and design-handoff.md, extracting durable insights, and writing them to session-log.md and design.md references.

What is artifact-backed design knowledge compounding?

Artifact-backed knowledge compounding extracts concrete lessons and provenance from sprint outcome files, ensuring durable design insights survive across future cycles without rehashing past conversations.

How do I trigger design learning extraction from sprint outcomes?

Provide the design sprint's compound_pending_feature_id to trigger extraction; the worker reads sprint evidence files, produces durable learnings, updates session logs and references, then clears the queued feature in tracked-work.json.

Do I need specific files to extract cross-sprint design insights?

Yes, extracting cross-sprint design insights requires reading AGENTS.md, .agents-stack/tracked-work.json, and sprint decisive evidence files including design-qa.md, design-handoff.md, and design.md criteria to ensure accurate consolidation.

What is the best way to preserve design decisions for future sprints?

The best way to preserve design decisions is patching .agents-stack/reference/design.md and related scoped references with durable insights extracted from sprint outcomes, ensuring design criteria survive across future cycles.

Can I use design compounding without a queued feature in tracked-work.json?

No, design compounding applies when sprint results are reconciled and queued in compound_pending_feature_ids, requiring a valid feature ID to read decisive evidence and complete the deterministic learning handoff.