ontology-clawdTyped knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Install via ClawdBot CLI:
clawdbot install onlyloveher/ontology-clawdGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.com/skills/ontologyAudited Apr 16, 2026 · audit v1.0
Generated May 12, 2026
Use ontology to track project tasks and their interdependencies. Enforce acyclic constraints to prevent circular dependencies and automatically surface blockers when querying task status.
When scheduling events like 'Team Sync', ontology automatically creates follow-up tasks (e.g., 'Prepare agenda') linked to the event and assignees via graph transformations, ensuring no step is missed.
A no-code agent uses ontology to share state between email and task management skills: commitments extracted from emails become tasks with deadlines, all linked via entities and relations.
Store customer interactions, support tickets, and product documentation as typed entities. Query relationships to find relevant knowledge, track issue dependencies, and enforce service-level policies.
Decompose complex workflows (e.g., 'Plan product launch') into a sequence of ontology mutations—create events, assign tasks, link resources—each validated before execution for consistency.
Offer ontology as a service for building custom typed graphs with validation and querying. Price per entity storage and API calls.
Sell pre-built ontology schemas and integration templates for specific industries (e.g., legal case management, healthcare protocols). Charge per download or subscription.
Provide services to migrate existing relational or document data into ontology graphs, with custom schema design and constraint enforcement. Bill hourly or per project.
💬 Integration Tip
Start by defining your core entity types and constraints in a schema.yaml before entering data. Use the 'staging' mode (like prepend-only) to test mutations before finalizing.
Scored May 12, 2026
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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