Engineering
resume avatar

resume

Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.

Introduction

The resume skill serves as the central control point for managing the lifecycle of long-running automated research experiments. Designed for developers and engineers working within the autoresearch framework, this skill bridges the gap between a paused experimental state and active development. When triggered via the /ar:resume command, it automatically handles the technical overhead required to pick up exactly where previous attempts left off. It performs a comprehensive restoration process that includes switching to the relevant experiment-specific Git branch, reloading configuration settings from .cfg files, and parsing result history from tabular data logs to provide a quantitative summary of past performance.

  • Automatically lists all available experiments and their status (active, paused, or completed) based on the age of results.tsv files.

  • Performs environment synchronization by checking out the specific autoresearch/{domain}/{name} branch and pulling recent activity from Git logs.

  • Provides an analytical snapshot of experiment progress, including metrics like P50/P99 latency, improvement percentages relative to baselines, and a breakdown of kept versus discarded iterations.

  • Identifies successful and failed patterns (e.g., caching optimizations, algorithm adjustments) to guide future decision-making.

  • Seamlessly integrates with run and loop commands, offering a transition path for single-step execution or scheduled autonomous iterations.

  • Requires a structured experiment directory following the .autoresearch conventions.

  • Designed for use within CLI-based coding agents like Claude Code, Cursor, and similar tools supporting agentic plugins.

  • Expects the presence of configuration files and results.tsv logs to generate accurate state reports.

  • Ideal for long-term optimization tasks where consistent historical tracking is required to avoid regressing on previously validated improvements.

  • Streamlines the workflow for performance tuning, algorithmic research, and iterative code generation.

Repository Stats

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Open Issues
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Language
Python
Default Branch
main
Sync Status
Idle
Last Synced
Apr 30, 2026, 07:59 AM
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