archive

Archive an experiment line while preserving lessons, artifacts, and memory.

1|Updated Mar 23, 2026

Search Tags:#workflow #memory #evidence #archive #experiment #lessons-learned #preservation

Ready to run

npx skills add https://github.com/LinkDry/Link-Research --skill archive-linkdry

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: archive
Source: https://github.com/LinkDry/Link-Research/tree/main/skills/archive
Command: npx skills add https://github.com/LinkDry/Link-Research --skill archive-linkdry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Archive closes an experiment line without losing what it taught us, enabling safe preservation of evidence, artifacts, and reusable lessons for future reference and recovery.

Core Features & Use Cases

Preserve project-local case detail and promote reusable lessons into global memory
Move-or-snapshot oriented closure that preserves evidence while leaving active project state recoverable
Supports conservative closure under judge verdict or explicit human request

Quick Start

Archive the current active line using the standard archive protocol.

Frequently Asked Questions about archive

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

FAQPage Schema

How do I preserve experiment lessons and evidence without deleting active project state?▼

To preserve experiment lessons without deleting active project state, you can archive the experiment line. This snapshots workspace artifacts and appends an archive record while keeping the active project state fully recoverable.

What is the best way to close an experiment line while promoting local lessons to global memory?▼

Closing an experiment line while promoting lessons involves archiving case details locally and moving reusable lessons into global memory. This ensures evidence preservation and future reference without losing project context.

When should I use an archive protocol for experiment preservation?▼

You should use an archive protocol for experiment preservation when a judge verdict or explicit human request requires safe closure. It applies when you need to retain evidence and learning for future recovery without disrupting active workflows.

Does archiving an experiment coordinate with existing project-brief and memory files?▼

Yes, archiving an experiment coordinates directly with project-brief, STATE, and memory files. It follows a defined contract to append archive records accurately, ensuring workspace artifacts are safely snapshotted alongside existing project data.

Can I recover an active project state after moving workspace artifacts to preservation?▼

Yes, you can recover an active project state after preservation because the process uses a move-or-snapshot oriented closure. This approach explicitly preserves evidence and lessons while leaving the active project state recoverable for future reuse.