knowledge-ontology面向AI Agent的类型化知识图谱系统,提供实体关系建模、约束校验引擎、模式演进管理、图遍历规划四大核心能力. 内置15+实体类型与7类约束规则,支持append-only历史保留与三步迁移法,确保模式变更不破坏旧数据. 将多步计划建模为图操作序列,每步执行前自动校验约束,违反约束自动回滚. 适用于需要结构化查...
Install via ClawdBot CLI:
clawdbot install thcjp/knowledge-ontologyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://skillhub.cn/skill/Audited Aug 11, 2026 · audit v1.0
Generated Aug 11, 2026
Manage complex project tasks and dependencies using a typed knowledge graph. Traverse task blocking relationships to determine execution order and identify bottlenecks.
Securely store and manage credentials by enforcing constraints that prevent sensitive data like passwords from being stored in plain text. Use references to external vaults for actual secrets.
Structure organizational knowledge as a graph of entities such as documents, people, and projects, enabling powerful queries and impact analysis for informed decision-making.
Model multi-step workflows as graph transformations with validation at each step, ensuring consistency and automatic rollback on failure. Useful for complex automation pipelines.
Analyze the downstream impact of changes to entities (e.g., postponing a task) by traversing dependency relationships, helping teams proactively manage risks and adjust schedules.
Offer the knowledge ontology tool as a cloud-based service with tiered subscriptions (e.g., free tier for individuals, premium for teams). Revenue from monthly/annual subscription fees.
Provide specialized implementations, integration, and support for enterprises that need tailored ontology systems. Charge for consulting, implementation, and maintenance services.
Release the core tool as open source to foster community adoption, then offer premium features such as advanced analytics, dedicated support, and SLA guarantees for a fee.
💬 Integration Tip
Integrate with existing AI agent frameworks by using the provided CLI tools for create/query operations. Ensure to set up initial schema and validation rules before usage.
Scored Aug 11, 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