autodream-core通用记忆整理引擎 — 基于适配器模式的跨平台记忆整理技能。自动去重、合并、删除过时条目。| Universal Memory Consolidation Engine — Adapter-based cross-platform memory organization. Auto-dedup, merge, pr...
Install via ClawdBot CLI:
clawdbot install bigkingcn/autodream-coreGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/yourusername/autodream-coreAudited Apr 18, 2026 · audit v1.0
Generated May 7, 2026
A research agent uses autodream-core to automatically consolidate notes and references across multiple projects, merging duplicates and pruning outdated citations. This ensures that the agent's memory remains accurate and relevant over long-term research endeavors.
A customer support AI agent running on platforms like OpenClaw uses this skill to keep its knowledge base up-to-date by merging similar resolved tickets and removing obsolete solutions referencing deleted files or deprecated features.
A coding assistant agent leverages autodream-core to manage its memory of codebase changes, automatically consolidating duplicated insights from multiple sessions and removing stale references to removed or renamed modules.
An AI advisor helps students track their course progress and research interests, using this skill to merge overlapping notes and discard outdated academic plans or deadlines, ensuring personalized and up-to-date guidance.
A DevOps agent monitors incident reports and runbooks, using autodream-core to consolidate repeated incident patterns and prune obsolete recovery steps, improving response accuracy over time.
Offer a free version with basic memory consolidation for limited platforms (e.g., personal use) and a premium subscription with advanced features like custom adapters, higher frequency consolidation, and analytics dashboards.
License the skill to AI agent platforms (e.g., OpenClaw, Claude Code) as an integrated memory management module, charging per agent instance or a revenue share on platform subscriptions.
Provide consulting services to customize the skill for enterprise-specific platforms or workflows, including custom adapter development and performance tuning.
💬 Integration Tip
Use the adapter pattern to quickly integrate with any platform by implementing the base interface; start with the OpenClaw adapter as a reference for custom adapters.
Scored May 7, 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