autoresearch:learn

Analyze user feedback and failed runs to generate improvement plans with eval scenarios and patch checklists.

29|4|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/wjgoarxiv/autoresearch-skill --skill autoresearch-learn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoresearch:learn
Source: https://github.com/wjgoarxiv/autoresearch-skill/tree/main/skills/learn
Command: npx skills add https://github.com/wjgoarxiv/autoresearch-skill --skill autoresearch-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for continuous improvement of the autoresearch-skill by turning user feedback and failure reports into actionable improvement plans without automatically implementing changes.

Core Features & Use Cases

  • Feedback Analysis: Processes user complaints and failure reports to identify areas for improvement.
  • Improvement Plan Creation: Generates a bounded plan with scope, acceptance criteria, and risks.
  • Eval Scenario Drafting: Creates a draft eval scenario to catch similar failures in the future.
  • Patch Checklist Preparation: Provides a checklist for implementing the improvement plan.

Quick Start

Provide feedback about the skill's performance or a failed run, and the skill will generate an improvement plan for you.

Frequently Asked Questions about autoresearch:learn

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

FAQPage Schema
How do I convert user feedback into an actionable improvement plan for skill development?

You can convert user feedback into an improvement plan by analyzing failure reports and complaints to generate a bounded scope, acceptance criteria, and risks for iterative skill development.

What is the best way to create eval scenarios from failed skill runs?

The best way to create eval scenarios from failed runs is to analyze the failure reports and draft scenarios that specifically target and catch similar errors in future iterations.

Can I automatically implement skill patches based on user feedback analysis?

No, feedback analysis does not automatically implement changes; it generates a safe improvement plan with a patch checklist, requiring manual implementation for skill development.

Do I need external dependencies to analyze feedback and generate improvement plans?

You do not need external dependencies to analyze feedback and generate improvement plans; the process relies solely on built-in analysis and documentation skills.

What should be included in a skill improvement plan to ensure safe iterations?

A safe skill improvement plan should include a defined scope, acceptance criteria, identified risks, an eval scenario draft, and a patch checklist for implementing changes.