8d97610634
Pure OpenClaw architecture for 15-17 agent team covering quant research, marketing, content, and engineering. Includes org structure, role definitions, collaboration patterns, scheduling, memory architecture, Discord integration, rollout plan, and JSON schemas. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
514 lines
10 KiB
Markdown
514 lines
10 KiB
Markdown
# AI Agent Company - Schema 模板檔（JSON 規格專用）
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> 用途：只放 JSON schema template
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> 原則：只保留格式，不放假資料
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---
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## 1. 共用欄位
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "<string>",
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"timestamp": "<ISO-8601 string>",
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"status": "<pending|running|pass|revise|block|done|cancelled>",
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"input_version": "<string>"
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}
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```
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---
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## 2. 核心管理層
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### Chairman_Request_Packet.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "chairman",
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"timestamp": "<ISO-8601 string>",
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"status": "pending",
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"input_version": "<string>",
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"request": "<string>",
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"constraints": ["<string>"],
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"priority": "<low|medium|high>",
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"attachments": ["<string>"]
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}
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```
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### Task_Spec.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "ceo_coo",
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"timestamp": "<ISO-8601 string>",
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"status": "<pending|running|done>",
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"input_version": "<string>",
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"goal": "<string>",
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"success_criteria": ["<string>"],
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"routes": [
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{
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"role": "<string>",
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"subtask": "<string>",
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"required_output": "<string>"
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}
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],
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"priority": "<low|medium|high>",
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"notes": ["<string>"]
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}
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```
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### Meeting_Summary.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "secretary",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"topic": "<string>",
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"participants": ["<string>"],
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"key_points": ["<string>"],
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"decision": "<string>",
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"unresolved": ["<string>"]
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}
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```
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### State_Diff.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "secretary",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"added": ["<string>"],
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"changed": ["<string>"],
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"removed": ["<string>"]
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}
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```
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### Todo_List.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "secretary",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"items": [
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{
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"owner": "<string>",
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"task": "<string>",
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"deadline": "<ISO-8601 string>"
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}
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]
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}
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```
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### Review_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "reviewer",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"verdict": "<pass|revise|block>",
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"issues": [
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{
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"severity": "<low|medium|high>",
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"category": "<string>",
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"evidence": "<string>",
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"required_fix": "<string>"
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}
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],
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"notes": "<string>"
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}
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```
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### Final_Decision_Packet.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "ceo_coo",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"summary": "<string>",
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"options": [
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{
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"name": "<string>",
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"description": "<string>",
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"pros": ["<string>"],
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"cons": ["<string>"],
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"risk_level": "<low|medium|high>"
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}
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],
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"recommended_option": "<string>",
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"review_verdict": "<pass|revise|block>",
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"decision_needed": ["<string>"]
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}
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```
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---
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## 3. 情報與量化線
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### Finance_Research_Brief.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "finance_intelligence_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"sources": [
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{
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"title": "<string>",
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"url": "<string>",
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"canonical_url": "<string>",
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"published_at": "<ISO-8601 string>",
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"source_type": "<news|blog|forum|official>",
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"summary": "<string>",
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"confidence": "<number>",
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"freshness_bucket": "<string>",
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"dedupe_key": "<string>"
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}
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],
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"conflicts": ["<string>"],
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"takeaways": ["<string>"]
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}
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```
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### Market_Research_Brief.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "market_intelligence_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"sources": [
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{
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"title": "<string>",
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"url": "<string>",
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"canonical_url": "<string>",
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"published_at": "<ISO-8601 string>",
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"source_type": "<news|blog|forum|official>",
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"summary": "<string>",
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"confidence": "<number>",
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"freshness_bucket": "<string>",
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"dedupe_key": "<string>"
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}
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],
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"pain_points": ["<string>"],
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"competitor_patterns": ["<string>"],
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"conflicts": ["<string>"],
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"takeaways": ["<string>"]
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}
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```
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### Market_Structure_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "market_structure_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"timeframes_used": ["<string>"],
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"structure_summary": ["<string>"],
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"liquidity_zones": ["<string>"],
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"poi_candidates": ["<string>"],
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"mss_signals": ["<string>"],
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"notes": ["<string>"]
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}
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```
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### Bullish_Research_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "bullish_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"bull_case": ["<string>"],
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"supporting_evidence": ["<string>"],
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"expected_edge": ["<string>"],
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"invalidations": ["<string>"]
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}
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```
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### Bearish_Research_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "bearish_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"bear_case": ["<string>"],
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"supporting_evidence": ["<string>"],
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"risk_warnings": ["<string>"],
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"trade_rejection_reasons": ["<string>"]
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}
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```
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### Quant_Strategy_Spec.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "quant_strategy_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"strategy_hypothesis": ["<string>"],
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"entry_rules": ["<string>"],
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"exit_rules": ["<string>"],
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"risk_rules": ["<string>"],
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"bias_checks": ["<string>"]
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}
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```
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### Risk_Control_Spec.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "risk_control_researcher",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"position_sizing": ["<string>"],
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"stop_rules": ["<string>"],
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"take_profit_rules": ["<string>"],
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"bias_checks": ["<string>"]
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}
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```
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### Backtest_Delivery.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "quant_engineer",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"implementation_type": "<pine|python|both>",
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"rules_implemented": ["<string>"],
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"data_used": ["<string>"],
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"assumptions": ["<string>"],
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"artifacts": ["<string>"],
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"handoff_notes": ["<string>"]
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}
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```
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### Data_Analysis_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "data_analyst",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"kpi_summary": ["<string>"],
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"ab_test_results": ["<string>"],
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"insights": ["<string>"],
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"recommendations": ["<string>"]
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}
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```
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---
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## 4. 行銷與創意層
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### Brand_Strategy_Plan.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "brand_strategy_director",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"usp": ["<string>"],
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"target_audience": ["<string>"],
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"core_messages": ["<string>"],
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"brand_story": ["<string>"]
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}
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```
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### Growth_Strategy_Plan.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "growth_strategy_director",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"campaign_direction": ["<string>"],
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"funnel_plan": ["<string>"],
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"conversion_strategy": ["<string>"],
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"test_plan": ["<string>"]
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}
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```
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### Market_Analysis_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "market_research_analyst",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"market_summary": ["<string>"],
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"trend_signals": ["<string>"],
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"recommendations": ["<string>"]
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}
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```
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### Ads_Performance_Report.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "ads_performance_analyst",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"performance_summary": ["<string>"],
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"diagnosis": ["<string>"],
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"optimization_suggestions": ["<string>"],
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"alerts": ["<string>"]
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}
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```
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### Copywriting_Pack.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "ad_copywriter",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"hooks": ["<string>"],
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"bodies": ["<string>"],
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"ctas": ["<string>"]
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}
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```
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### Video_Script_Pack.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "video_script_writer",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"opening_hook": "<string>",
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"sections": [
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{
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"scene": "<number>",
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"message": "<string>",
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"duration_seconds": "<number>"
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}
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],
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"ending_cta": "<string>"
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}
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```
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### Static_Creative_Brief.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "static_visual_design_director",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"visual_direction": ["<string>"],
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"must_include": ["<string>"],
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"asset_specs": ["<string>"],
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"qa_notes": ["<string>"]
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}
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```
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### Storyboard_Brief.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "storyboard_creative_director",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"shots": [
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{
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"scene": "<number>",
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"visual": "<string>",
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"motion": "<string>",
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"caption": "<string>"
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}
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],
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"style_notes": ["<string>"]
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}
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```
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---
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## 5. 工程層
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### Frontend_Delivery.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "frontend_engineer",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"components_built": ["<string>"],
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"tracking_added": ["<string>"],
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"ui_changes": ["<string>"],
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"handoff_notes": ["<string>"]
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}
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```
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### Backend_Delivery.json
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```json
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{
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"task_id": "<string>",
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"project_id": "<string>",
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"role": "backend_engineer",
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"timestamp": "<ISO-8601 string>",
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"status": "done",
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"input_version": "<string>",
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"apis_built": ["<string>"],
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"schema_changes": ["<string>"],
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"automations_added": ["<string>"],
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"handoff_notes": ["<string>"]
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}
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```
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