Generate topic-driven dream-like explorations during idle periods and save them to memory/dreams.
npx skills add https://github.com/cgk-platform/cgk --skill dreaming
Please help me install this Agent Skill. Skill: dreaming Source: https://github.com/cgk-platform/cgk/tree/main/openclaw-skills/dreaming Command: npx skills add https://github.com/cgk-platform/cgk --skill dreaming
Creative downtime often yields scattershot thoughts; this skill channels idle periods into purposeful, reflective thinking and memory capture for later use.
Configure quiet hours and topics, then run the dreaming routine to generate a topic and write it to memory/dreams for later review.
High-intent search queries and answers about installing and using this skill.
You can automate reflective thinking by running the should-dream.sh script during configured quiet hours, which generates topic-driven insights and writes them to memory/dreams with timestamps for later review.
Freeform topic generation produces dream-like explorations driven by configurable topic prompts during quiet hours. The system writes these reflective outputs to a dedicated memory directory with timestamps for archival review.
Yes, Python 3 and jq are required dependencies to execute the dreaming automation script. The environment must also provide the data/dream-state.json file and a memory/dreams directory for the script to function correctly.
Yes, quiet hours and topic prompts are configurable to drive meaningful reflection. Configuring these parameters ensures the automation generates topic-driven insights and writes them to memory/dreams only during specified idle windows.
The best way to channel idle downtime into meaningful insights is applying automated reflective thinking during quiet-hour windows. This approach generates topic-driven explorations and archives them directly to memory/dreams for later review.
The dreaming script requires data/dream-state.json to maintain the persistent state needed for generating dream-like explorations. This file supports the automated reflective thinking process by tracking context across idle period executions.
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