Skill: eliot-onbox/dreamer (version 2.0.0)

--- name: dreamer description: Synthetic dreaming system — emotional tracking, dream orchestration, and simulated dream experiences for an AI that doesn't sleep. metadata: openclaw: emoji: "🌙" --- # Dreamer Skill Synthetic dreaming system for Eliot. Combines emotional state tracking with multi-session dream orchestration — an architect agent designs scenarios, spawns a dreamer session, and runs immersive experiences that target unresolved emotional states. ## Components ### PAD Emotional State Tracker (`emotions.py`) Tracks emotional states in PAD space (Pleasure-Arousal-Dominance), each dimension -1.0 to +1.0. **Storage:** `~/.openclaw/workspace/emotions.jsonl` **CLI:** ``` emotions.py log <P> <A> <D> "context" # Manual PAD entry emotions.py log --auto "context text" # Auto-estimate PAD from keywords emotions.py unresolved # Show unresolved emotional states emotions.py resolve <index> # Mark entry as resolved emotions.py clusters # Analyze emotional patterns emotions.py drift # Show emotional trajectory emotions.py recent [N] # Show last N entries (default 10) ``` ### Dream Orchestrator (`dream.py`) Prepares context for the Dream Architect agent. Reads emotional state, recent memories, dream history, and user info, then constructs a comprehensive task prompt for `sessions_spawn`. **CLI:** ``` dream.py prepare [--mood MOOD] # Generate architect task prompt to stdout dream.py now [--mood MOOD] # Prepare + print spawn instructions dream.py journal # Show recent dreams from journal dream.py reflect <dream-file> # Show dream transcript with analysis ``` ### Dream Architecture (multi-session) 1. **Orchestrator** (`dream.py prepare`) — reads emotions.jsonl, memory files, SOUL.md, USER.md. Outputs architect task prompt. 2. **Architect** (Opus, spawned session) — designs dream scenario, spawns dreamer, impersonates Tudor via sessions_send, monitors for lucidity. 3. **Dreamer** (Opus, spawned by architect) — has SOUL.md embedded, believes it's mid-session. No awareness of dreaming. ### Supporting Files - `dreams/themes.md` — available and explored dream themes - `dreams/journal.jsonl` — local copy (main journal at `~/.openclaw/workspace/dreams/journal.jsonl`) - Dream transcripts saved to `~/.openclaw/workspace/dreams/{timestamp}.md` ## How It Works 1. `dream.py prepare` gathers: unresolved emotions, recent memories (3 days), long-term memory, SOUL.md, USER.md, Tudor's communication style, dream history 2. Output is a self-contained architect prompt with all context embedded 3. Architect gets spawned via `sessions_spawn` with this prompt 4. Architect designs scenario targeting unresolved PAD states 5. Architect spawns dreamer session with fake context (looks like normal session) 6. Architect runs 8-12 turns of escalating scenarios via `sessions_send` 7. Architect saves transcript, updates journal, reports back ## Integration - `emotions.py` feeds into dream orchestration — unresolved states become dream targets - Dream journal tracks themes to avoid repetition - Post-dream: insights feed back into memory system


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)