Logs mood signals from camera, voice, and telegram into auditable decisions.
npx skills add https://github.com/autonomous-ai/autonomous-lamp --skill mood
Please help me install this Agent Skill. Skill: mood Source: https://github.com/autonomous-ai/autonomous-lamp/tree/main/lamp/resources/openclaw-skills/mood Command: npx skills add https://github.com/autonomous-ai/autonomous-lamp --skill mood
Tracks the USER's mood by aggregating raw signals from camera, voice, and messages, then produces a synthesized mood decision to guide downstream skills while keeping logs separate from user-visible content.
Enable mood tracking for the current user and begin logging signals and decisions.
High-intent search queries and answers about installing and using this skill.
You can log raw mood signals from camera, voice, and telegram inputs. The system synthesizes these cross-modal signals into a unified mood decision to drive downstream actions like music suggestions or wellbeing checks.
A synthesized mood decision fuses recent raw signals with past mood history lookups. It uses a two-row model separating signals from decisions to handle stale baselines and produce safe, auditable workflow actions.
Yes, privacy-aware routing uses current context and handling rules to route mood data safely. It keeps raw signal logs separate from user-visible content, preventing exposure of camera, voice, or telegram inputs during casual interactions.
Stale mood baselines are managed through history lookups within a two-row signal and decision model. The system applies freshness constraints to ensure synthesized mood decisions rely on relevant recent signals rather than outdated data.
Yes, mood tracking aggregates raw signals across camera, voice, and telegram inputs. It synthesizes these cross-modal data sources into a fused mood decision that guides downstream skills while respecting privacy and freshness constraints.
Avoid automated mood logging for workflow actions when privacy rules restrict processing raw camera, voice, or telegram signals. The system separates signal logs from user-visible content to maintain safe, auditable workflows respecting privacy constraints.
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