auto-memory-uploader自动记忆上传技能。每2条对话自动将重要信息保存到记忆文件。 使用场景:(1) 用户要求自动保存对话记忆,(2) 需要持续追踪对话上下文, (3) 希望自动归档重要决策和信息。触发条件:每2条对话、用户说"保存记忆"、 对话结束时检测到重要信息。
Install via ClawdBot CLI:
clawdbot install nameefef/auto-memory-uploaderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
Automatically logs key customer interactions, preferences, and resolutions after every two exchanges, ensuring continuity across support sessions. Ideal for tracking recurring issues and personalizing responses based on saved user history.
Captures decisions, task assignments, and project status updates during team discussions, automatically archiving them to memory files. Helps maintain a clear record of progress and agreements without manual note-taking.
Saves user preferences, scheduled tasks, and important reminders from conversations, enabling the assistant to recall details like deadlines or favorite settings over time. Enhances personalization and reduces repetition.
Records learning objectives, student progress, and customized lesson plans during tutoring sessions, automatically updating memory files to track educational milestones and adapt teaching strategies.
Offer the skill as part of a monthly or annual subscription for businesses needing automated memory logging, with tiered plans based on storage capacity and advanced features like analytics. Revenue comes from recurring payments.
Provide basic auto-save functionality for free to attract individual users, while charging for premium features such as enhanced memory organization, integration with third-party tools, or priority support. Revenue is generated from upgrades.
Sell customized licenses to large organizations for integrating the skill into their internal systems, with added security, compliance features, and dedicated support. Revenue is based on one-time or annual licensing fees.
💬 Integration Tip
Ensure memory file paths are accessible and regularly backed up to prevent data loss, and test trigger conditions like 'save memory' commands in diverse conversation flows.
Scored Jun 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