emotional-memoryGive your AI agent emotional continuity across sessions. Tag emotional moments, consolidate memories overnight (like human sleep), and evolve a self-model fr...
Install via ClawdBot CLI:
clawdbot install artemis-lgtm/emotional-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
AI therapists or wellness coaches use this skill to track emotional highs and lows across sessions, identifying patterns like recurring anxiety triggers or progress in mood. This enables personalized, continuous care by recalling past emotional contexts without starting fresh each time.
Support AI agents tag emotional moments from user interactions, such as frustration or satisfaction, to build a memory of customer sentiment. This allows for more empathetic, consistent responses by referencing past issues and emotional weights in ongoing support conversations.
Tutoring AI uses emotional memory to log student reactions to lessons, like pride in mastering a concept or frustration with difficult topics. Over time, it adapts teaching strategies based on emotional patterns, providing tailored encouragement and review sessions.
AI writing assistants tag emotional moments in collaborative storytelling, such as excitement over plot twists or disappointment in character arcs. This helps maintain narrative continuity and emotional depth by evolving a self-model of the story's emotional journey.
In project management tools, AI agents track team emotions during meetings or milestones, tagging moments like stress over deadlines or satisfaction with achievements. This aids in improving team dynamics by identifying recurring emotional patterns and suggesting interventions.
Offer this skill as a cloud-based service with tiered plans, charging monthly fees for features like advanced pattern detection and higher memory limits. Revenue comes from businesses integrating it into their AI systems for enhanced emotional intelligence.
Sell custom licenses to large organizations for on-premise deployment, with pricing based on user count or data volume. This includes dedicated support and integration services, targeting industries like healthcare or customer service.
Provide a free basic version for individual developers or small projects, with paid upgrades for advanced features like decay-resistant memory slots or detailed self-model analytics. Monetize through in-app purchases or annual subscriptions.
💬 Integration Tip
Set up cron jobs for nightly consolidation and weekly self-model evolution as described in the SKILL.md to ensure continuous emotional memory processing without manual intervention.
Scored Apr 19, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
LLM-driven epistemic reasoning engine. Evaluates claims against evidence, outputs calibrated confidence and structured belief state (VERIFIED/CONTESTED/UNCER...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files