autoresearch

Automate goal-directed iteration to refine measurable targets with verification and rollback.

4|1|Updated May 31, 2015

Search Tags:#automation #git #logging #metrics #iteration #autoresearch

Ready to run

npx skills add https://github.com/samcdavid/dotfiles --skill autoresearch-samcdavid

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/samcdavid/dotfiles/tree/main/claude/skills/autoresearch
Command: npx skills add https://github.com/samcdavid/dotfiles --skill autoresearch-samcdavid

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates autonomous goal-directed iteration to refine a measurable target by proposing changes, validating outcomes, and deciding to keep or rollback.

Core Features & Use Cases

Constraint-driven autonomous iteration that progresses toward a target metric.
Mechanical verification and results logging, enabling repeatable experiments.
Use cases include improving tests, benchmarks, coverage, build size, or performance.

Quick Start

Provide an initial goal and optional iteration limit using the /autoresearch argument, then confirm to start the loop.

Frequently Asked Questions about autoresearch

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

FAQPage Schema

How do I automate autonomous iteration to reach a measurable development goal?▼

You can automate autonomous iteration by defining a target metric, a verification command, and a commit policy. The automation proposes changes, validates outcomes, and keeps or rolls back commits to reach the measurable goal.

What is constraint-driven autonomous iteration for development workflows?▼

Constraint-driven autonomous iteration is a process that progresses toward a target metric by automatically proposing code changes and mechanically verifying results. It enables repeatable experiments for improving tests, benchmarks, and coverage.

How do I set up automated benchmark and coverage improvement loops?▼

You set up automated loops by providing an initial goal and a verifiable metric command. You can configure a user-defined iteration limit or run indefinitely while the tool logs results and handles rollbacks.

Can I use autonomous iteration to reduce build size without manual intervention?▼

Yes, autonomous iteration can reduce build size by applying a policy for committing changes and handling rollbacks. It continuously proposes modifications, validates the build size metric, and decides whether to keep the outcome.

Does autonomous iteration require a specific testing framework to validate outcomes?▼

No specific testing framework is required, but you must provide a verifiable metric and a verification command. The tool uses mechanical verification to validate outcomes and log results for repeatable experiments.

What are the limitations of running autonomous goal-directed iteration indefinitely?▼

Running indefinitely means the loop continues until a user-defined limit is reached or it is stopped manually. Without a limit, it relies entirely on the verification command and commit policy to manage continuous changes and rollbacks.