cross-task-learner
CommunityAI learns from past tasks.
Authorjmagly
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of AI agents repeating past mistakes or failing to leverage successful strategies by enabling them to learn from previous task executions and apply that knowledge to new, similar tasks.
Core Features & Use Cases
- Pattern Extraction: Automatically identifies and stores reusable solutions (error fixes, successful approaches, code templates) from completed AI loops.
- Pattern Injection: Proactively injects relevant learned patterns into the context of new AI loops, guiding them towards more efficient and successful outcomes.
- Use Case: An AI developer assistant, after successfully debugging a common "null pointer exception" in one project, stores this fix as a pattern. When another project encounters a similar error, the assistant automatically suggests the previously successful fix, saving debugging time.
Quick Start
Use the cross-task-learner skill to inject relevant patterns into the current AI loop.
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/jmagly/aiwg/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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