autoskill

Extract durable preferences from coding sessions and propose SKILL.md edits.

2|Updated Sep 28, 2025

Search Tags:#skill-management #pattern-detection #skill-improvement #session-learning #autoskill #reversible-edits

Ready to run

npx skills add https://github.com/abhay-rana/create-modern-react --skill autoskill-abhay-rana

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autoskill
Source: https://github.com/abhay-rana/create-modern-react/tree/main/.claude/skills/autoskill
Command: npx skills add https://github.com/abhay-rana/create-modern-react --skill autoskill-abhay-rana

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the process of learning from coding sessions by extracting durable preferences (corrections, approvals, and recurring patterns) and proposing targeted improvements to Skills, ensuring improvements persist across sessions.

Core Features & Use Cases

Signal detection: Identifies corrections, recurring patterns, and approvals observed during a session.
Skill mapping: Associates signals with the relevant Skill files and sections.
Propose edits: Generates minimal, reversible edits to SKILL.md for review.
Review workflow: Requires user confirmation before applying changes.
Cross-session learning: Ensures improvements persist across sessions and projects.

Quick Start

Trigger autoskill after a session to extract durable preferences and propose edits to relevant Skill files. Review the proposed changes and apply approved edits to keep skills up to date.

Frequently Asked Questions about autoskill

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

FAQPage Schema

How do I automatically extract coding preferences from a session to update my skills?▼

Automate learning from coding sessions by triggering an analysis that detects corrections, recurring patterns, and approvals. The tool maps these signals to relevant Skill files and proposes targeted improvements for review.

Can I review and revert changes made to SKILL.md files during session learning?▼

Yes, session learning generates minimal, reversible edits to SKILL.md files. A review workflow requires your explicit confirmation before applying changes, ensuring you maintain control over skill modifications.

What is the best way to persist recurring code patterns and corrections across multiple projects?▼

To persist recurring patterns across projects, analyze session data to extract durable preferences. These preferences are mapped to relevant Skill files, ensuring improvements are retained for future cross-session workflows.

Does skill management work without manual intervention to detect approved coding patterns?▼

Yes, skill management automatically identifies approvals and corrections observed during a session. It associates these signals with the appropriate Skill files and generates updates without requiring manual pattern tagging.

How do I ensure my automated session learning only applies safe modifications to skill files?▼

Automated session learning ensures safe modifications by generating minimal, reversible edits to SKILL.md files. The built-in review workflow requires user confirmation before any changes are applied to the skill definitions.