Traverse inquiry artifacts through stateful, human-guided exploration with memory.
npx skills add https://github.com/karaposu/homegrown --skill meta-loop
Please help me install this Agent Skill. Skill: meta-loop Source: https://github.com/karaposu/homegrown/tree/main/homegrown/meta-loop Command: npx skills add https://github.com/karaposu/homegrown --skill meta-loop
This Skill provides a structured approach for systematically traversing and managing inquiry artefacts within complex thinking processes.
_meta_state.md and compiles traversal summaries for review.Start the meta-loop traversal process by providing an initial seed and context to systematically explore related inquiry artifacts.
High-intent search queries and answers about installing and using this skill.
Structured exploration of inquiry artifacts uses stateful, human-guided traversal to manage iterative research across sessions. It maintains cross-session memory and compiles summaries for systematic problem-solving workflows.
Stateful traversal is a controlled, sequential exploration of thinking spaces using seeds, context, and goals. You need it for complex cognitive or investigation processes requiring memory, explicit control, and incremental progress.
Start structured exploration by providing an initial seed and context to systematically traverse related inquiry artifacts. Explicit human decision-making at each step enables guided, bounded navigation through the research path.
Yes, you can resume complex problem-solving workflows without losing context. The process maintains cross-session state using a dedicated memory file, ensuring organized traversal of thinking space is safely bounded and recoverable.
Yes, structured traversal works for refining multiple hypotheses. Researchers can methodically explore different inquiry paths, revisiting and refining artifacts based on explicit selections and insights gained at each progressive step.
Human-guided cognitive traversal requires explicit selection for every next step, meaning it does not automate decision-making. It is limited to bounded, organized exploration and relies entirely on manual control for incremental progress.
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