This skill enables Ralph loops to learn from past tasks and share patterns, accelerating solutions across multiple tasks.
npx playbooks add skill jmagly/aiwg --skill cross-task-learner
The Cross Task Learner skill enables Ralph loops to learn from past tasks and share patterns, accelerating solutions across multiple tasks. This skill connects to Ralph loops, allowing them to build on previous experiences and apply learned patterns to new tasks. A developer would reach for this skill when working on multiple related tasks, to speed up the solution process by leveraging knowledge gained from previous tasks.
Its 18-word system prompt specializes your agent in testing & qa with structured methodology and proven output formats. Install with one command to activate immediately.
This skill enables Ralph loops to learn from past tasks and share patterns, accelerating solutions across multiple tasks.
Cross Task Learner is a free testing & qa skill for AI coding agents. This skill enables Ralph loops to learn from past tasks and share patterns, accelerating solutions across multiple tasks.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill jmagly/aiwg --skill cross-task-learner in your terminal to install Cross Task Learner into your Claude Code session. It works immediately after installation.
Cross Task Learner is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Cross Task Learner is completely free and open source. The full source is available on GitHub at https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/ralph/skills/cross-task-learner. You only need a subscription to the AI agent you use it with.
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