autoreskill-project-memory

Manage .autoreskill files, decision logs, and evidence carts with Python scripts.

Updated May 27, 2026
One-click install
npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-project-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoreskill-project-memory
Source: https://github.com/Iranb/codex-autoresearch-skill-pack/tree/main/skills/autoreskill-project-memory
Command: npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-project-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps researchers maintain and organize memory and evidence for AutoResearch projects, improving the efficiency and coherence of the research process.

Core Features & Use Cases

  • Memory and Evidence Cart: Organize all evidence, decisions, and project information in one place.
  • Script Execution: Utilize Python scripts to read, write, and manage memory and evidence carts.
  • Use Case: Ideal for researchers who need to manage .autoreskill memory files, decision logs, and evidence carts during their research activities.

Quick Start

Initialize your AutoResearch project memory with the following command: python skills/autoreskill-project-memory/scripts/memory_init.py --project /path/to/autoresearch-project

Frequently Asked Questions about autoreskill-project-memory

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

FAQPage Schema
How do I organize project memory and evidence carts for AutoResearch workflows?

You can organize project memory and evidence carts for AutoResearch workflows by running Python scripts that manage .autoreskill files, decision logs, and evidence carts. This consolidates all project information and decisions in one place.

Do I need Python to manage .autoreskill memory files?

Yes, you need Python installed to manage .autoreskill memory files because this Skill utilizes Python scripts to read, write, and execute memory and evidence cart operations during your research activities.

What is the best way to maintain decision logs during AutoResearch projects?

The best way to maintain decision logs is using a dedicated project memory management system that automatically tracks and stores decisions within .autoreskill files via Python scripts, ensuring research coherence and efficiency.

How do I initialize memory for an AutoResearch project?

You initialize memory for an AutoResearch project by executing the memory initialization Python script via command line, pointing it to your project directory to set up the required .autoreskill files and evidence carts.

Can I use this approach to consolidate evidence and project information in one place?

Yes, you can consolidate evidence, decisions, and project information in one place by utilizing the memory and evidence cart management scripts designed specifically for organizing AutoResearch workflows.