jpeng-knowledge-graph-memoryBuilds and maintains a knowledge graph for long-term memory with concept drift detection and temporal reasoning. Use when storing structured knowledge, detec...
Install via ClawdBot CLI:
clawdbot install jpengcheng523-netizen/jpeng-knowledge-graph-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Jul 12, 2026
An EdTech platform uses the knowledge graph to model student knowledge and track concept mastery over time. Drift detection identifies when a student's understanding changes, enabling adaptive curriculum adjustments.
A CRM system builds a knowledge graph of customer interactions and sentiment trends. Concept drift detection alerts when customer sentiment shifts, allowing proactive engagement.
A research tool constructs a knowledge graph from academic papers to identify emerging topics and relationships. Temporal reasoning tracks how concepts evolve, helping researchers spot groundbreaking ideas.
A health analytics platform creates a knowledge graph of patient symptoms, diagnoses, and treatments. Drift detection identifies changing health patterns, enabling early intervention.
Offer tiered subscriptions (e.g., monthly/annually) for access to knowledge graph features such as drift detection and temporal queries. Higher tiers include advanced analytics and larger node limits.
Provide a RESTful API for knowledge graph operations, charging per API call or per node/edge stored. Ideal for developers integrating memory into their apps.
License the full skill package to enterprises for internal use, including custom deployment, support, and SLAs. Suitable for large-scale knowledge management systems.
💬 Integration Tip
Start by defining core concepts and relationships in your domain, then integrate drift detection on high-importance concepts to monitor changes efficiently.
Scored Jul 12, 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