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KingClawArmy/docs/agent_company_schema_templates_v2.md
Chris 8d97610634 Initial commit: KingClawArmy AI Agent Team spec v4 
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>
2026-04-09 03:39:29 +08:00

10 KiB
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AI Agent Company - Schema 模板檔（JSON 規格專用）

用途：只放 JSON schema template
原則：只保留格式，不放假資料

1. 共用欄位

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "<string>",
  "timestamp": "<ISO-8601 string>",
  "status": "<pending|running|pass|revise|block|done|cancelled>",
  "input_version": "<string>"
}

2. 核心管理層

Chairman_Request_Packet.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "chairman",
  "timestamp": "<ISO-8601 string>",
  "status": "pending",
  "input_version": "<string>",
  "request": "<string>",
  "constraints": ["<string>"],
  "priority": "<low|medium|high>",
  "attachments": ["<string>"]
}

Task_Spec.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "ceo_coo",
  "timestamp": "<ISO-8601 string>",
  "status": "<pending|running|done>",
  "input_version": "<string>",
  "goal": "<string>",
  "success_criteria": ["<string>"],
  "routes": [
    {
      "role": "<string>",
      "subtask": "<string>",
      "required_output": "<string>"
    }
  ],
  "priority": "<low|medium|high>",
  "notes": ["<string>"]
}

Meeting_Summary.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "secretary",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "topic": "<string>",
  "participants": ["<string>"],
  "key_points": ["<string>"],
  "decision": "<string>",
  "unresolved": ["<string>"]
}

State_Diff.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "secretary",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "added": ["<string>"],
  "changed": ["<string>"],
  "removed": ["<string>"]
}

Todo_List.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "secretary",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "items": [
    {
      "owner": "<string>",
      "task": "<string>",
      "deadline": "<ISO-8601 string>"
    }
  ]
}

Review_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "reviewer",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "verdict": "<pass|revise|block>",
  "issues": [
    {
      "severity": "<low|medium|high>",
      "category": "<string>",
      "evidence": "<string>",
      "required_fix": "<string>"
    }
  ],
  "notes": "<string>"
}

Final_Decision_Packet.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "ceo_coo",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "summary": "<string>",
  "options": [
    {
      "name": "<string>",
      "description": "<string>",
      "pros": ["<string>"],
      "cons": ["<string>"],
      "risk_level": "<low|medium|high>"
    }
  ],
  "recommended_option": "<string>",
  "review_verdict": "<pass|revise|block>",
  "decision_needed": ["<string>"]
}

3. 情報與量化線

Finance_Research_Brief.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "finance_intelligence_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "sources": [
    {
      "title": "<string>",
      "url": "<string>",
      "canonical_url": "<string>",
      "published_at": "<ISO-8601 string>",
      "source_type": "<news|blog|forum|official>",
      "summary": "<string>",
      "confidence": "<number>",
      "freshness_bucket": "<string>",
      "dedupe_key": "<string>"
    }
  ],
  "conflicts": ["<string>"],
  "takeaways": ["<string>"]
}

Market_Research_Brief.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "market_intelligence_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "sources": [
    {
      "title": "<string>",
      "url": "<string>",
      "canonical_url": "<string>",
      "published_at": "<ISO-8601 string>",
      "source_type": "<news|blog|forum|official>",
      "summary": "<string>",
      "confidence": "<number>",
      "freshness_bucket": "<string>",
      "dedupe_key": "<string>"
    }
  ],
  "pain_points": ["<string>"],
  "competitor_patterns": ["<string>"],
  "conflicts": ["<string>"],
  "takeaways": ["<string>"]
}

Market_Structure_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "market_structure_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "timeframes_used": ["<string>"],
  "structure_summary": ["<string>"],
  "liquidity_zones": ["<string>"],
  "poi_candidates": ["<string>"],
  "mss_signals": ["<string>"],
  "notes": ["<string>"]
}

Bullish_Research_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "bullish_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "bull_case": ["<string>"],
  "supporting_evidence": ["<string>"],
  "expected_edge": ["<string>"],
  "invalidations": ["<string>"]
}

Bearish_Research_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "bearish_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "bear_case": ["<string>"],
  "supporting_evidence": ["<string>"],
  "risk_warnings": ["<string>"],
  "trade_rejection_reasons": ["<string>"]
}

Quant_Strategy_Spec.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "quant_strategy_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "strategy_hypothesis": ["<string>"],
  "entry_rules": ["<string>"],
  "exit_rules": ["<string>"],
  "risk_rules": ["<string>"],
  "bias_checks": ["<string>"]
}

Risk_Control_Spec.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "risk_control_researcher",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "position_sizing": ["<string>"],
  "stop_rules": ["<string>"],
  "take_profit_rules": ["<string>"],
  "bias_checks": ["<string>"]
}

Backtest_Delivery.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "quant_engineer",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "implementation_type": "<pine|python|both>",
  "rules_implemented": ["<string>"],
  "data_used": ["<string>"],
  "assumptions": ["<string>"],
  "artifacts": ["<string>"],
  "handoff_notes": ["<string>"]
}

Data_Analysis_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "data_analyst",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "kpi_summary": ["<string>"],
  "ab_test_results": ["<string>"],
  "insights": ["<string>"],
  "recommendations": ["<string>"]
}

4. 行銷與創意層

Brand_Strategy_Plan.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "brand_strategy_director",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "usp": ["<string>"],
  "target_audience": ["<string>"],
  "core_messages": ["<string>"],
  "brand_story": ["<string>"]
}

Growth_Strategy_Plan.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "growth_strategy_director",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "campaign_direction": ["<string>"],
  "funnel_plan": ["<string>"],
  "conversion_strategy": ["<string>"],
  "test_plan": ["<string>"]
}

Market_Analysis_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "market_research_analyst",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "market_summary": ["<string>"],
  "trend_signals": ["<string>"],
  "recommendations": ["<string>"]
}

Ads_Performance_Report.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "ads_performance_analyst",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "performance_summary": ["<string>"],
  "diagnosis": ["<string>"],
  "optimization_suggestions": ["<string>"],
  "alerts": ["<string>"]
}

Copywriting_Pack.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "ad_copywriter",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "hooks": ["<string>"],
  "bodies": ["<string>"],
  "ctas": ["<string>"]
}

Video_Script_Pack.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "video_script_writer",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "opening_hook": "<string>",
  "sections": [
    {
      "scene": "<number>",
      "message": "<string>",
      "duration_seconds": "<number>"
    }
  ],
  "ending_cta": "<string>"
}

Static_Creative_Brief.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "static_visual_design_director",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "visual_direction": ["<string>"],
  "must_include": ["<string>"],
  "asset_specs": ["<string>"],
  "qa_notes": ["<string>"]
}

Storyboard_Brief.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "storyboard_creative_director",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "shots": [
    {
      "scene": "<number>",
      "visual": "<string>",
      "motion": "<string>",
      "caption": "<string>"
    }
  ],
  "style_notes": ["<string>"]
}

5. 工程層

Frontend_Delivery.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "frontend_engineer",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "components_built": ["<string>"],
  "tracking_added": ["<string>"],
  "ui_changes": ["<string>"],
  "handoff_notes": ["<string>"]
}

Backend_Delivery.json

{
  "task_id": "<string>",
  "project_id": "<string>",
  "role": "backend_engineer",
  "timestamp": "<ISO-8601 string>",
  "status": "done",
  "input_version": "<string>",
  "apis_built": ["<string>"],
  "schema_changes": ["<string>"],
  "automations_added": ["<string>"],
  "handoff_notes": ["<string>"]
}
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