Log and organize dream entries in append-only JSONL files.
npx skills add https://github.com/alex-place/lantern-os --skill dream-journal-v2
Please help me install this Agent Skill. Skill: dream-journal-v2 Source: https://github.com/alex-place/lantern-os/tree/main/skills/dream_journal Command: npx skills add https://github.com/alex-place/lantern-os --skill dream-journal-v2
Dream logging often loses detail, mixes structure with freeform notes, and makes recurring symbols or trends hard to revisit later. This Skill keeps dream records local, organized, and ready for interpretation without replacing the existing Dreamer notebook flow.
Ask the skill to log a dream entry and generate a concise mirror prompt from the latest local dream notes.
High-intent search queries and answers about installing and using this skill.
To log and analyze dreams locally, you record entries in an append-only JSONL storage format. This enables structured logging of content, lucidity levels, emotions, and tags for subsequent retrieval and cognitive analysis.
Yes, you can import existing dream records through backward-compatible ingestion from legacy dreamer notebooks. This allows you to migrate old notes into the structured JSONL storage without losing previous data.
Mirror prompts facilitate symbolic dream interpretation by generating concise, grounded reflections based on your latest local dream notes. They apply cognitive analysis and fallacy checks to help explore recurring symbols and persistent characters.
Yes, the dream journaling tool supports optional Discord, Flask, voice, and agent integrations. This allows you to extend structured logging and retrieval capabilities across different communication and web platforms.
The best way to manage long-term dream journal storage is through monthly JSONL file rotation. This append-only approach organizes records chronologically, ensuring efficient recent-dream retrieval and preventing data corruption.
Lucidity normalization in a cognitive dream journal standardizes varying awareness levels across different entries. This ensures consistent structured logging, allowing you to accurately track lucid dreaming trends and compare dream states over time.
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