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
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...