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feedback-loop

Process adoption reports to create discovery opportunities and system learning signals.

Updated Aug 27, 2026
Search Tags:#discovery#product development#feedback loop#continuous improvement#learning signals#adoption analysis
One-click install
npx skills add https://github.com/tgsatwit/agent-delivery-pub --skill feedback-loop-tgsatwit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feedback-loop
Source: https://github.com/tgsatwit/agent-delivery-pub/tree/main/.claude/skills/feedback-loop
Command: npx skills add https://github.com/tgsatwit/agent-delivery-pub --skill feedback-loop-tgsatwit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that valuable insights from user adoption and system performance are systematically captured and translated into actionable improvements for both the product and the delivery process itself. It prevents feedback from becoming stagnant and drives continuous learning.

Core Features & Use Cases

  • Adoption Feedback Processing: Scans adoption reports to identify key findings and opportunities for product enhancement.
  • Discovery Opportunity Generation: Creates new discovery tasks based on prioritized feedback, ensuring new features address real user needs.
  • System Learning Signals: Identifies systemic issues in the delivery process (e.g., spec clarity, design alignment, testing gaps) and generates signals for targeted improvements.
  • Backlog Integration: Automatically creates work items for new opportunities, integrating them into the development pipeline.
  • Use Case: After a new feature is adopted, this Skill analyzes the feedback, flags suggestions for future development, and identifies if the initial specification was unclear, prompting a review of the /specify command.

Quick Start

Process adoption findings from the last week to create new discovery opportunities and system learning signals.

Frequently Asked Questions about feedback-loop

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

FAQPage Schema
How do I process adoption findings to generate discovery opportunities?▼

To process adoption findings, scan transient adoption reports to identify key user insights, create new opportunity entries, and generate system learning signals for continuous product improvement.

What are system learning signals in continuous improvement?▼

System learning signals are generated by analyzing adoption findings to identify systemic delivery issues like spec clarity or testing gaps, prompting targeted improvements to the development process.

How do I turn user feedback into backlog items for iterative development?▼

You can turn user feedback into backlog items by scanning adoption reports, prioritizing the findings, and automatically creating work items that integrate new discovery opportunities into the pipeline.

Can I use adoption analysis to identify issues with my delivery process?▼

Yes, adoption analysis identifies systemic delivery process issues such as unclear specifications or design alignment gaps, generating signals that prompt reviews of specific delivery stages and commands.

When should I run post-adoption analysis for product enhancement?▼

Run post-adoption analysis after a new feature is adopted to flag user suggestions for future development, create discovery tasks, and evaluate if initial specifications were clear enough.

Continuous improvement feedback loop not capturing insights from new features, what are the limitations?▼

If the feedback loop misses insights, ensure it scans transient adoption reports accurately, as failing to process these reports prevents the generation of discovery opportunities and learning signals.

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