auto-skill

Automate continuous knowledge accumulation and cross-skill memory retention for AI agents.

195|21|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/Toolsai/auto-skill --skill auto-skill-toolsai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-skill
Source: https://github.com/Toolsai/auto-skill/tree/main
Command: npx skills add https://github.com/Toolsai/auto-skill --skill auto-skill-toolsai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auto-Skill addresses the challenge of cognitive drift in AI agents by continuously accumulating experience, indexing it, and enabling cross-skill memory so that past insights inform current decisions.

Core Features & Use Cases

  • Real-time memory: auto-scan knowledge base, apply best practices, and recall past solutions across tasks.
  • Cross-skill memory: when calling other skills, automatically consult the experience library and surface improvements from history.
  • Proactive experience capture: after task completion or user satisfaction, prompt to store insights in the knowledge base.
  • Structured knowledge storage: lightweight JSON indexes paired with Markdown notes for human and machine readability.

Quick Start

Enable auto-skill at the start of every task and let it autonomously manage cross-skill experiences.

Frequently Asked Questions about auto-skill

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

FAQPage Schema
How do I prevent cognitive drift in AI agents during task-based conversations?

Cross-skill memory allows AI agents to recall past solutions by auto-reading a knowledge base and applying best practices. Auto-skill implements this by indexing successful experiences and surfacing historical improvements across different tasks.

What's the best way to automate knowledge accumulation for AI agents?

The best way to automate knowledge accumulation is to proactively capture insights after task completion and store them in structured formats. Auto-skill handles this by writing experiences back as lightweight JSON indexes paired with Markdown notes for human and machine readability.

How does cross-skill memory work when calling different AI tasks?

Cross-skill memory works by automatically consulting an experience library and surfacing improvements from history when other skills are called. Auto-skill enforces this by strictly initializing rules at the start of every task to recall relevant past solutions.

Can I use a markdown knowledge base to retain AI agent memory across sessions?

Yes, you can retain AI agent memory using a markdown knowledge base paired with lightweight JSON indexes. Auto-skill exposes structured knowledge through these formats, ensuring both human and machine readability for cross-skill memory retention.

Do I need to manually save experiences for AI memory retention to work?

No, manual saving is not needed because auto-skill proactively captures experiences after user satisfaction or task completion. It autonomously manages cross-skill experiences by auto-scanning the knowledge base and writing back insights without manual intervention.