auto-skill

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

195|21|Updated Feb 9, 2026

Search Tags:#automation #memory #ai-agent #knowledge-base #cross-skill #auto-skill

Ready to run

npx skills add https://github.com/Toolsai/auto-skill --skill auto-skill-toolsai

💬 Prompt for ChatGPT / Claude Chat▼

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.