cross-task-learner
CommunityLearn and share across AI tasks.
Authorrobit-man
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables AI agents (specifically "Ralph loops") to learn from past task executions and apply that learned knowledge to future, similar tasks, thereby improving efficiency and success rates.
Core Features & Use Cases
- Pattern Extraction: Automatically identifies and stores reusable solutions (patterns) from completed AI tasks.
- Pattern Injection: Proactively suggests relevant learned patterns to new AI tasks based on their descriptions.
- Use Case: If an AI agent repeatedly struggles with a specific type of bug, this Skill will learn the fix for that bug and then automatically suggest the fix the next time a similar bug is encountered, speeding up resolution.
Quick Start
Use the cross-task-learner skill to extract patterns from the completed loop with ID 'ralph-fix-auth-a1b2c3d4'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cross-task-learner Download link: https://github.com/robit-man/transcribe-cli/archive/main.zip#cross-task-learner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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