zqtestTyped 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 ywqsimmon/zqtestGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Aug 11, 2026
Create a structured personal database to track contacts, projects, tasks, and events. Use the ontology to remember details about people, link tasks to projects, and query dependencies between goals and tasks.
A small team uses the ontology to manage project tasks, assign owners, track blockers, and visualize dependencies. The constraint system ensures tasks have required fields and statuses are valid, preventing miscommunication.
Freelancers can use the ontology to store client information, project requirements, and communication logs. Link clients to projects and track interactions, making follow-ups and status updates easier.
Researchers can model their literature, notes, and experiments as entities. Link documents to projects and experiments, and query dependencies between hypotheses and results, aiding in systematic reviews.
Plan events by creating Event entities with attendees, locations, and related tasks. Link tasks to events, assign responsible persons, and validate constraints like date order, ensuring smooth execution.
Offer the ontology as a cloud-based knowledge management service with a subscription fee. Provide features like data storage, query performance, and collaboration, charging monthly or annually per user.
Provide consulting services to help organizations implement the ontology, including custom schema design, integration with existing tools, and training. Charge per project or hourly.
Release the ontology as open-source, but offer premium support, deployment assistance, and advanced features (e.g., SQLite migration) as paid services.
💬 Integration Tip
Start by defining a minimal schema (Person, Task, Project) and use the provided CLI to create a few entities. Integrate with existing tools by logging ontology mutations to other systems, such as a causal action log.
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