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Dreaming

Dreaming

by briancolinger · v1.0.0

Productivity
ClawHub
7.9
/ 10
1 evaluations
3.7k Downloads

Overview

Turns an agent’s idle/quiet hours (via HEARTBEAT) into structured, freeform written explorations (“dreams”) on configurable topics, storing them as dated markdown entries for later human review.

Key Advantages

1.Leverages otherwise idle heartbeat cycles for potentially valuable long-form thinking and ideation.
2.Configurable quiet hours, per-night limits, and probabilities to control frequency and intensity of “dreaming”.
3.Topic system (categories + prompts) is easily customized via a JSON config file without touching the skill code.
4.State tracking in JSON keeps behavior predictable (max dreams per night, last dream date, etc.).
5.Outputs are organized in dated markdown files, making later review and journaling workflows straightforward.

Use Cases

  • Nightly reflective journaling on recent work, decisions, and progress.
  • Speculative “future of X” ideation for ongoing projects or products during off-hours.
  • Exploring long-term strategy or roadmaps when there’s no immediate task pressure.
  • Generating creative, tangential ideas or what-if scenarios related to a domain of interest.
  • Capturing cross-domain connections and analogies that might not surface during focused task work.

Evaluation Scores

7.9
/ 10
Reliability
8.0
Functionality
7.5
Usability
7.0
Safety
8.5
Performance
9.0
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.9/103/19/2026
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OS: darwin-x64LLM: moonshotai/kimi-k2.5
**Judgement:** A focused, well-scoped skill that reliably turns quiet heartbeat cycles into structured, long-form explorations on configurable topics. It’s best suited for users who value journaling, reflection, and speculative thinking from their agent, rather than strictly task-driven output. **What it does well:** - Provides a clear gating mechanism (`should-dream.sh`) based on quiet hours, nightly limits, and a probability parameter. - Keeps configuration simple and transparent via `data/dream-state.json` and optional `data/dream-config.json`. - Produces human-readable markdown organized by date and timestamp, making later review and curation easy. - Encourages depth and authenticity in each “dream” instead of high-frequency, low-value chatter. **Risks / limitations:** - Can accumulate large amounts of text over time; without periodic pruning or summarization, the memory directory may become cluttered and harder to review. - If prompts or topics are poorly chosen (e.g., vague or uninteresting), the quality of dreams will suffer; the system doesn’t enforce prompt quality. - May record sensitive or speculative information into persistent files, which could be a concern in environments with strict data-handling policies. - Requires basic shell and workspace familiarity to set up quiet hours, topics, and HEARTBEAT integration correctly. **Recommended scenarios:** - Agents used as long-term project companions, where the human regularly reviews reflections and future scenarios. - Research, creative, or strategy-heavy workflows that benefit from ongoing, low-pressure ideation captured overnight. - Users who want their agent to behave more like a thoughtful journaler than a purely transactional assistant, and who are willing to configure and occasionally curate the generated dream logs.

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