autoreskill-implement-experiment
CommunityImplement reproducible experiment bundles for AutoResearch
Software Engineering#manifest generation#experiment implementation#AutoResearch#baseline code#compute backend
AuthorIranb
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the implementation of reproducible experiment bundles in AutoResearch, ensuring consistency and reliability in research workflows.
Core Features & Use Cases
- Experiment Implementation: Automates the creation of manifests, configurations, and scripts for experiment bundles.
- Baseline and Proposed Code: Ensures that proposed changes are made against a locked baseline, with detailed patch proofs.
- Compute Backend Decision: Handles decisions between local GPU, AutoDL GPU, and other backends.
- Use Case: With this Skill, you can implement an experiment bundle from an
INNOVATION_PACKETandEXPERIMENT_REVIEW_PACKET, consuming locked baseline-code decisions and creating manifests, configurations, and scripts.
Quick Start
Use the 'autoreskill-implement-experiment' skill to implement an experiment bundle from the provided packets.
Dependency Matrix
Required Modules
pythonyaml
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: autoreskill-implement-experiment Download link: https://github.com/Iranb/codex-autoresearch-skill-pack/archive/main.zip#autoreskill-implement-experiment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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