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lab:autoresearch

Propose, evaluate, and implement improvements to .NET plugin skills.

2|Updated Apr 19, 2026
Search Tags:#dotnet#skill enhancement#plugin improvement#autoresearch#mutation strategies
One-click install
npx skills add https://github.com/dimsour/dotnet-ai-toolkit --skill lab-autoresearch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lab:autoresearch
Source: https://github.com/dimsour/dotnet-ai-toolkit/tree/main/lab/autoresearch
Command: npx skills add https://github.com/dimsour/dotnet-ai-toolkit --skill lab-autoresearch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, lab.eval.scorer, lab.eval.schemas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of continuously improving plugin skills within the .NET ecosystem by providing a self-improving loop that proposes, evaluates, and implements changes to enhance the performance and functionality of these skills.

Core Features & Use Cases

  • Self-Improving Loop: Automatically proposes and evaluates changes to plugin skills.
  • Mutation Strategies: Applies various mutation strategies to improve skills, such as compressing sections, adding Iron Laws, and rewriting descriptions.
  • Evaluation Framework: Scores skills across multiple dimensions, including completeness, accuracy, and conciseness.
  • Use Case: Use this Skill to enhance the capabilities of your .NET plugin skills, ensuring they stay up-to-date and effective.

Quick Start

Run the autoresearch skill with the command: /lab:autoresearch

Frequently Asked Questions about lab:autoresearch

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

FAQPage Schema
How do I iteratively improve .NET plugin skills automatically?▼

You can iteratively improve .NET plugin skills by running an automated self-improving loop that proposes changes, scores them against a deterministic evaluation framework, and implements the best enhancements to boost performance.

What is the self-improving loop mechanism for .NET skill enhancement?▼

The .NET skill enhancement loop applies mutation strategies like compressing sections and adding Iron Laws to propose changes, evaluates them across dimensions like completeness and accuracy, and implements the validated improvements.

Do I need Python to run automated evaluation for .NET plugin skills?▼

Yes, Python is required to run automated evaluation for .NET plugin skills, as the self-improving loop and deterministic scorer depend on Python alongside various .NET-related libraries to execute.

How do I evaluate .NET skills for accuracy and completeness?▼

You evaluate .NET skills using a deterministic scorer that measures performance across multiple dimensions including completeness, accuracy, and conciseness, validating proposed mutations before they are implemented.

What are the limitations of using mutation strategies for .NET plugin improvement?▼

Mutation strategies for .NET plugin improvement rely on deterministic scoring, meaning they require Python and .NET library dependencies, and are constrained to optimizing only the defined evaluation dimensions like completeness and conciseness.

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