docs(registry): seed 10 examples + 5 skills (LI SDD M3.1 + M3.3)

Leo/Arcrun

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>

This commit is contained in:

richblack

2026-05-16 16:33:54 +08:00

parent 989fbeb9ac

commit 388c193ae7

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				name: webhook_to_http

				description: 收 webhook → 轉發到另一個 HTTP API

				flow:

				  - "input >> ON_SUCCESS >> forward"

				config:

				  forward:

				    component: http_request

				    url: "https://httpbin.org/post"

				    method: POST

				    headers:

				      Content-Type: "application/json"

				    body_json:

				      received: "{{input}}"

				      timestamp: "{{_now}}"