技能版本 1.0.0
ontology
类型化知识图谱,用于结构化智能体记忆与可组合技能。适用于以下场景:创建/查询实体(人物、项目、任务、事件、文档)、关联相关对象、强制执行约束、将多步操作规划为图谱变换,或当技能需要共享状态时。触发关键词包括"记住""我知道关于什么""将X链接到Y""显示依赖关系"、实体增删改查操作,以及跨技能数据访问。
价格
免费
- 安装:免费
在组织开通时一次性收取;再次读取清单或下载不重复收费。
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如何使用
为组织安装
开通即安装:组织固定使用开通时的版本(当前为 1.0.0)。升级到新版本需要取消后重新开通。
创建凭证
客户端使用组织凭证读取;绑定到数字人后,数字人使用绑定凭证按需加载。请求中携带:
Authorization: Bearer $ZGI_MARKET_KEY读取清单与安装包
清单列出版本、文件和校验值;安装包是一个 zip 文件。
读取清单 curl "https://market-api.zgi.im/v1/market/skills/ontology/manifest" \ -H "Authorization: Bearer $ZGI_MARKET_KEY"下载安装包 curl "https://market-api.zgi.im/v1/market/skills/ontology/package" \ -H "Authorization: Bearer $ZGI_MARKET_KEY" \ -o ontology.zip读取清单和下载安装包不计入用量。下载后请用响应头中的 SHA-256 校验文件。
技能说明
- 名称
- ontology
- 说明
- Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
会运行代码Python
技能包内含脚本文件,加载技能的运行时可能会执行它们,安装前请先阅读。
SKILL.md 节选
# Ontology
A typed vocabulary + constraint system for representing knowledge as a verifiable graph.
## Core Concept
Everything is an **entity** with a **type**, **properties**, and **relations** to other entities. Every mutation is validated against type constraints before committing.
```
Entity: { id, type, properties, relations, created, updated }
Relation: { from_id, relation_type, to_id, properties }
```
## When to Use
| Trigger | Action |
|---------|--------|
| "Remember that..." | Create/update entity |
| "What do I know about X?" | Query graph |
| "Link X to Y" | Create relation |
| "Show all tasks for project Z" | Graph traversal |
| "What depends on X?" | Dependency query |
| Planning multi-step work | Model as graph transformations |
| Skill needs shared state | Read/write ontology objects |
## Core Types
```yaml
# Agents & People
Person: { name, email?, phone?, notes? }
Organization: { name, type?, members[] }
# Work
Project: { name, status, goals[], owner? }
Task: { title, status, due?, priority?, assignee?, blockers[] }
Goal: { description, target_date?, metrics[] }
# Time & Place
Event: { title, start, end?, location?, attendees[], recurrence? }
Location: { name, address?, coordinates? }
# Information
Document: { title, path?, url?, summary? }
Message: { content, sender, recipients[], thread? }
Thread: { subject, participants[], messages[] }
Note: { content, tags[], refs[] }
# Resources
Account: { service, username, credential_ref? }
Device: { name, type, identifiers[] }
Credential: { service, secret_ref } # Never store secrets directly
# Meta
Action: { type, target, timestamp, outcome? }
Policy: { scope, rule, enforcement }
```
## Storage
Default: `memory/ontology/graph.jsonl`
```jsonl
{"op":"create","entity":{"id":"p_001","type":"Person","properties":{"name":"Alice"}}}
{"op":"create","entity":{"id":"proj_001","type":"Project","properties":{"name":"Website Redesign","status":"active"}}}
{"op":"relate","from":"proj_001","rel":"has_owner","to":"p_001"}
```
Query via scripts or direct file ops. For complex graphs, migrate to SQLite.
### Append-Only Rule
When working with existing ontology data or schema, **append/merge** changes instead of overwriting files. This preserves history and avoids clobbering prior definitions.
## Workflows
### Create Entity
```bash
python3 scripts/ontology.py create --type Person --props '{"name":"Alice","email":"alice@example.com"}'
```
### Query
```bash
python3 scripts/ontology.py query --type Task --where '{"status":"open"}'
python3 scripts/ontology.py get --id task_001
python3 scripts/ontology.py related --id proj_001 --rel has_task
```
### Link Entities
```bash
python3 scripts/ontology.py relate --from proj_001 --rel has_task --to task_001
```
### Validate
```bash
python3 scripts/ontology.py validate # Check all constraints
```
## Constraints
Define in `memory/ontology/schema.yaml`:
```yaml
types:
Task:
required: [title, status]
status_enum: [open, in_progress, blocked, done]
Event:
required: [title, start]
validate: "end >= start if end exists"
Credential:
required: [service, secret_ref]
forbidden_properties: [password, secret, token] # Force indirection
relations:
has_owner:
from_types: [Project, Task]
to_types: [Person]
cardinality: many_to_one
blocks:
from_types: [Task]
to_types: [Task]
acyclic: true # No circular dependencies
```
## Skill Contract
Skills that use ontology should declare:
```yaml
# In SKILL.md frontmatter or header
ontology:
reads: [Task, Project, Person]
writes: [Task, Action]
preconditions:
- "Task.assignee must exist"
postconditions:
- "Created Task has status=open"
```
## Planning as Graph Transformation
Model multi-step plans as a sequence of graph operations:
```
Plan: "Schedule team meeting and create follow-up tasks"
1. CREATE Event { title: "Team Sync", attendees: [p_001, p_002] }
2. RELATE Event -> has_project -> proj_001
3. CREATE Task { title: "Prepare agenda", assignee: p_001 }
4. RELATE Task -> for_event -> event_001SKILL.md 不止这些内容,安装后可阅读全文。
技能包内容
共 5 个文件,合计 39.6 KiB
- SKILL.md6.5 KiB
- _meta.json127 B
- references/queries.md5.3 KiB
- references/schema.md6.5 KiB
- scripts/ontology.py21.1 KiB
来源与审核
- 审核状态
- 尚未审核,内容来自上游来源
- 许可证
- 未说明
审核状态是平台对上架信息的记录,不构成对上游服务质量或可用性的担保。