Learn Skill
SkillAI & modelsAutomatically evaluates OmA sessions to extract reusable patterns (error resolutions, workarounds, conventions) and save them to .omg/rules/learned/.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Learn Skill skill
About this capability
Context-engineering-powered multi-agent team workflow pack for Antigravity CLI.
What this skill tells your AI
The instructions your AI receives, as published by joonghyun-lee-frieren/oh-my-antigravity in skills/learn/SKILL.md and read by ahel’s review.
Automatically evaluates OmA sessions to extract reusable patterns (error resolutions, workarounds, conventions) and save them to .omg/rules/learned/.
When to Activate
- Setting up automatic pattern extraction from OmA sessions.
- Configuring the
SessionEndhook for session evaluation. - Reviewing or curating learned skills in
.omg/rules/learned/. - Adjusting extraction thresholds or pattern categories.
How It Works
This skill runs as a SessionEnd hook at the end of each session:
- Session Evaluation: Checks if session has enough messages (default: 10+).
- Pattern Detection: Identifies extractable patterns (errors, workarounds, styles).
- Skill Extraction: Saves useful patterns as new rules in
.omg/rules/learned/.
Interactive Selective Save
When /oma:learn is run, the agent will:
- Identify high-signal reusable patterns.
- List these patterns with unique IDs.
- Ask the user whether to save all or specific ones.
- Default to saving all if not specified.
Extraction Focus
The learn skill focuses on reusable patterns rather than simple chat history:
- Common Error Resolutions: How recurring errors were fixed.
- Environment Workarounds: Fixes for tool or framework quirks.
- Style/Conventions: Project-specific rules identified during work.
- Corrected Behaviors: Mistakes the agent should avoid in the future.
Configuration
Edit .omg/rules/learn.json to customize:
{
"min_session_length": 10,
"extraction_threshold": "medium",
"auto_approve": false,
"learned_skills_path": ".omg/rules/learned/",
"patterns_to_detect": [
"error_resolution",
"user_corrections",
"workarounds",
"debugging_techniques",
"project_specific"
],
"ignore_patterns": [
"simple_typos",
"one_time_fixes",
"external_api_issues"
]
}
Related
/oma:memory- Project-level knowledge./oma:rules- Context-aware rule application./oma:learn- Manual pattern extraction command.
Signals
- GitHub stars
- 211
- Forks
- 28
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
learn-joonghyun-lee-frieren- Source
- github.com/joonghyun-lee-frieren/oh-my-antigravity