SKILL.md
唯讀
名稱
ontology
描述
類型化知識圖譜,用於結構化代理記憶與可組合技能。當需要建立/查詢實體(Person、Project、Task、Event、Document)、連結相關物件、強制約束、將多步驟行動規劃為圖形轉換,或技能需要共享狀態時使用。觸發詞包含「記住」、「我知道關於…的什麼」、「連結 X 到 Y」、「顯示依賴關係」、實體 CRUD 或跨技能資料存取。
本體論
一個類型化詞彙表 + 約束系統,用於將知識表示為可驗證的圖形。
核心概念
一切都是實體,具有類型、屬性以及與其他實體的關係。每次變更在提交前都會根據類型約束進行驗證。
Entity: { id, type, properties, relations, created, updated }
Relation: { from_id, relation_type, to_id, properties }
使用時機
| 觸發詞 | 動作 |
|---|---|
| 「記住…」 | 建立/更新實體 |
| 「我知道關於 X 的什麼?」 | 查詢圖譜 |
| 「連結 X 到 Y」 | 建立關係 |
| 「顯示專案 Z 的所有任務」 | 圖形遍歷 |
| 「什麼依賴於 X?」 | 依賴查詢 |
| 規劃多步驟工作 | 建模為圖形轉換 |
| 技能需要共享狀態 | 讀寫本體物件 |
核心類型
# 代理與人員
Person: { name, email?, phone?, notes? }
Organization: { name, type?, members[] }
# 工作
Project: { name, status, goals[], owner? }
Task: { title, status, due?, priority?, assignee?, blockers[] }
Goal: { description, target_date?, metrics[] }
# 時間與地點
Event: { title, start, end?, location?, attendees[], recurrence? }
Location: { name, address?, coordinates? }
# 資訊
Document: { title, path?, url?, summary? }
Message: { content, sender, recipients[], thread? }
Thread: { subject, participants[], messages[] }
Note: { content, tags[], refs[] }
# 資源
Account: { service, username, credential_ref? }
Device: { name, type, identifiers[] }
Credential: { service, secret_ref } # 永遠不要直接儲存機密
# 元資料
Action: { type, target, timestamp, outcome? }
Policy: { scope, rule, enforcement }
儲存
預設路徑:memory/ontology/graph.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"}
可透過腳本或直接檔案操作查詢。對於複雜圖譜,建議遷移至 SQLite。
工作流程
建立實體
python3 scripts/ontology.py create --type Person --props '{"name":"Alice","email":"alice@example.com"}'
查詢
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
連結實體
python3 scripts/ontology.py relate --from proj_001 --rel has_task --to task_001
驗證
python3 scripts/ontology.py validate # 檢查所有約束
約束
定義在 memory/ontology/schema.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] # 強制間接引用
relations:
has_owner:
from_types: [Project, Task]
to_types: [Person]
cardinality: many_to_one
blocks:
from_types: [Task]
to_types: [Task]
acyclic: true # 禁止循環依賴
技能合約
使用本體論的技能應宣告:
# 在 SKILL.md 的 frontmatter 或標頭中
ontology:
reads: [Task, Project, Person]
writes: [Task, Action]
preconditions:
- "Task.assignee must exist"
postconditions:
- "Created Task has status=open"
規劃為圖形轉換
將多步驟計劃建模為一系列圖形操作:
Plan: "安排團隊會議並建立後續任務"
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_001
5. CREATE Task { title: "Send summary", assignee: p_001, blockers: [task_001] }
每個步驟在執行前都會經過驗證。若違反約束則進行回滾。
整合模式
與因果推論整合
將本體變更記錄為因果動作:
# 建立/更新實體時,同時記錄到因果動作日誌
action = {
"action": "create_entity",
"domain": "ontology",
"context": {"type": "Task", "project": "proj_001"},
"outcome": "created"
}
跨技能通訊
# Email 技能建立承諾
commitment = ontology.create("Commitment", {
"source_message": msg_id,
"description": "Send report by Friday",
"due": "2026-01-31"
})
# Task 技能接手
tasks = ontology.query("Commitment", {"status": "pending"})
for c in tasks:
ontology.create("Task", {
"title": c.description,
"due": c.due,
"source": c.id
})
快速開始
# 初始化本體儲存
mkdir -p memory/ontology
touch memory/ontology/graph.jsonl
# 建立 schema(建議但非必要)
cat > memory/ontology/schema.yaml << 'EOF'
types:
Task:
required: [title, status]
Project:
required: [name]
Person:
required: [name]
EOF
# 開始使用
python3 scripts/ontology.py create --type Person --props '{"name":"Alice"}'
python3 scripts/ontology.py list --type Person
參考資料
references/schema.md— 完整類型定義與約束模式references/queries.md— 查詢語言與遍歷範例






