Learn Agent Skill
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/Joonghyun-Lee-Frieren/oh-my-antigravity --skill learnThe instruction itself
7 sections, as written by the authorLearn Skill
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.
Other skills for the same job
different authors, same section of the catalogue
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
How to use it
Take joonghyun-lee-frieren/learn from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.