Leo
388c193ae7
對應 .agents/specs/llm-interface/ Milestone 3.1 + 3.3。
registry/examples/ — 10 個可直接 push 的 workflow 範本：
starter: webhook-to-http
common: cron-watcher, llm-classify, rag-search-answer, daily-digest
external: email-summary (gmail+claude+telegram), pdf-to-blocks,
github-issue-bot
advanced: parallel-fanout (trigger_workflow fan-out),
error-retry (try_catch+wait pattern)
每個含：workflow.yaml（可直接 push）+ description.md（解決什麼問題 /
改成你自己的 / 學到什麼）+ tags.json（搜尋用）
registry/skills/ — 5 個 AI playbook（markdown）：
build_watcher_workflow — cron + filter + trigger 模式
debug_paused_workflow — claude_api callback paused 怎麼追
migrate_http_to_trigger_workflow — 從 self-fetch 換 trigger_workflow
rag_with_arcrun — KBDB + claude_api 組裝 RAG
add_new_wasm_component — TinyGo 寫 + 部署全流程
兩者差異：
examples = 可直接拿來改的 YAML
skills = 面對 X 問題該怎麼想 + 該用哪個 example
兩者後續：CI 自動同步進 KBDB（type=workflow-example / type=agent-skill），
MCP arcrun_search_examples / arcrun_list_skills 走 KBDB semantic search。
（CI sync 是 M3.4 工作）
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
33 lines
837 B
YAML
33 lines
837 B
YAML
name: llm_classify_example
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description: webhook 收文字 → claude 分類 → 寫 KBDB 加 tag
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flow:
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- "input >> ON_SUCCESS >> classify"
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- "classify >> ON_SUCCESS >> save_with_tag"
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config:
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classify:
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component: claude_api
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timeout_ms: 30000
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_recipe_output_format: json
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_recipe_output_required_fields:
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- category
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- confidence
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prompt: |
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分類以下文字到下列其中一個 category：
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- tech / business / personal / other
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只回 JSON：
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{"category": "tech", "confidence": 0.85, "reason": "..."}
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文字：{{input.text}}
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save_with_tag:
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component: kbdb_create_block
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api_key: "{{api_key}}"
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type: "note"
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source: "llm-classified"
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user_id: "ai_classifier"
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content: "{{input.text}}"
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tags_json: '["llm-classified", "category:{{category}}"]'
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