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>
8.8 KiB
8.8 KiB
KingClawArmy - 第八部分：JSON Schema
基於 v2 schema 更新，新增會議相關 schema
所有 schema 只保留格式模板，不放假資料
8.1 共用欄位
{
"task_id": "<string>",
"project_id": "<string>",
"agent_id": "<string>",
"role": "<string>",
"timestamp": "<ISO-8601 string>",
"status": "<pending|running|pass|revise|block|done|cancelled>",
"input_version": "<string>"
}
8.2 管理層 Schema
Task_Spec.json（CEO/COO 產出）
{
"task_id": "<string>",
"project_id": "<string>",
"agent_id": "ceo_coo",
"role": "ceo_coo",
"timestamp": "<ISO-8601>",
"status": "<pending|running|done>",
"goal": "<string>",
"success_criteria": ["<string>"],
"routes": [
{
"agent_id": "<string>",
"subtask": "<string>",
"required_output": "<string>",
"collaboration_mode": "<task_handoff|meeting>"
}
],
"priority": "<low|medium|high>",
"meeting_required": "<boolean>",
"meeting_type": "<meeting_quant_debate|meeting_strategy_review|meeting_cross_team_sync|null>",
"notes": ["<string>"]
}
Final_Decision_Packet.json（CEO/COO 產出）
{
"task_id": "<string>",
"project_id": "<string>",
"agent_id": "ceo_coo",
"timestamp": "<ISO-8601>",
"status": "done",
"summary": "<string>",
"options": [
{
"name": "<string>",
"description": "<string>",
"pros": ["<string>"],
"cons": ["<string>"],
"risk_level": "<low|medium|high>"
}
],
"recommended_option": "<string>",
"review_verdict": "<pass|revise|block>",
"meeting_conclusions": ["<string>"],
"decision_needed": ["<string>"]
}
Meeting_Summary.json（秘書產出）
{
"task_id": "<string>",
"project_id": "<string>",
"agent_id": "secretary",
"timestamp": "<ISO-8601>",
"meeting_type": "<string>",
"topic": "<string>",
"participants": ["<agent_id>"],
"key_points": ["<string>"],
"consensus": "<string>",
"disagreements": ["<string>"],
"action_items": [
{
"owner": "<agent_id>",
"task": "<string>",
"deadline": "<ISO-8601|null>"
}
],
"unresolved": ["<string>"]
}
State_Diff.json（秘書產出）
{
"task_id": "<string>",
"agent_id": "secretary",
"timestamp": "<ISO-8601>",
"added": ["<string>"],
"changed": ["<string>"],
"removed": ["<string>"]
}
Review_Report.json（審查員產出）
{
"task_id": "<string>",
"agent_id": "reviewer",
"timestamp": "<ISO-8601>",
"reviewed_agent_id": "<string>",
"reviewed_output_type": "<string>",
"verdict": "<pass|revise|block>",
"issues": [
{
"severity": "<low|medium|high>",
"category": "<string>",
"evidence": "<string>",
"required_fix": "<string>"
}
],
"revise_count": "<number>",
"recommend_meeting": "<boolean>",
"notes": "<string>"
}
8.3 量化研究 Schema
Finance_Research_Brief.json
{
"task_id": "<string>",
"agent_id": "finance_researcher",
"timestamp": "<ISO-8601>",
"sources": [
{
"title": "<string>",
"url": "<string>",
"published_at": "<ISO-8601>",
"source_type": "<news|blog|forum|official>",
"summary": "<string>",
"confidence": "<number 0-1>",
"dedupe_key": "<string>"
}
],
"macro_summary": "<string>",
"conflicts": ["<string>"],
"takeaways": ["<string>"]
}
Market_Structure_Report.json
{
"task_id": "<string>",
"agent_id": "market_structure_researcher",
"timestamp": "<ISO-8601>",
"timeframes_used": ["<string>"],
"structure_summary": ["<string>"],
"liquidity_zones": ["<string>"],
"poi_candidates": ["<string>"],
"mss_signals": ["<string>"],
"bias": "<bullish|bearish|neutral|unclear>",
"confidence": "<number 0-1>",
"notes": ["<string>"]
}
Bullish_Research_Report.json
{
"task_id": "<string>",
"agent_id": "bullish_researcher",
"timestamp": "<ISO-8601>",
"bull_case": ["<string>"],
"supporting_evidence": ["<string>"],
"expected_edge": ["<string>"],
"invalidations": ["<string>"],
"conviction_level": "<low|medium|high>"
}
Bearish_Research_Report.json
{
"task_id": "<string>",
"agent_id": "bearish_researcher",
"timestamp": "<ISO-8601>",
"bear_case": ["<string>"],
"supporting_evidence": ["<string>"],
"risk_warnings": ["<string>"],
"trade_rejection_reasons": ["<string>"],
"conviction_level": "<low|medium|high>"
}
Quant_Strategy_Spec.json（含風控）
{
"task_id": "<string>",
"agent_id": "quant_strategist",
"timestamp": "<ISO-8601>",
"strategy_hypothesis": ["<string>"],
"entry_rules": ["<string>"],
"exit_rules": ["<string>"],
"risk_control": {
"position_sizing": ["<string>"],
"stop_rules": ["<string>"],
"take_profit_rules": ["<string>"],
"max_drawdown": "<string>",
"max_concurrent_positions": "<number>"
},
"bias_checks": ["<string>"],
"meeting_based": "<boolean>",
"meeting_id": "<string|null>"
}
Backtest_Delivery.json
{
"task_id": "<string>",
"agent_id": "quant_engineer",
"timestamp": "<ISO-8601>",
"implementation_type": "<pine|python|both>",
"rules_implemented": ["<string>"],
"data_used": ["<string>"],
"assumptions": ["<string>"],
"results_summary": {
"winrate": "<number>",
"expectancy": "<number>",
"max_drawdown": "<number>",
"sharpe_ratio": "<number>",
"total_trades": "<number>",
"period": "<string>"
},
"artifacts": ["<string>"],
"bias_warnings": ["<string>"],
"handoff_notes": ["<string>"]
}
Data_Analysis_Report.json
{
"task_id": "<string>",
"agent_id": "data_analyst",
"timestamp": "<ISO-8601>",
"report_type": "<daily|weekly|backtest_analysis|ad_hoc>",
"kpi_summary": ["<string>"],
"insights": ["<string>"],
"anomalies": ["<string>"],
"recommendations": ["<string>"]
}
8.4 行銷 & 內容 Schema
Market_Research_Brief.json / Market_Analysis_Report.json
{
"task_id": "<string>",
"agent_id": "market_researcher",
"timestamp": "<ISO-8601>",
"report_type": "<brief|analysis>",
"sources": [
{
"title": "<string>",
"url": "<string>",
"summary": "<string>",
"confidence": "<number 0-1>"
}
],
"pain_points": ["<string>"],
"competitor_patterns": ["<string>"],
"trend_signals": ["<string>"],
"takeaways": ["<string>"]
}
Brand_Strategy_Plan.json / Growth_Strategy_Plan.json
{
"task_id": "<string>",
"agent_id": "strategy_director",
"timestamp": "<ISO-8601>",
"plan_type": "<brand|growth>",
"usp": ["<string>"],
"target_audience": ["<string>"],
"core_messages": ["<string>"],
"campaign_direction": ["<string>"],
"funnel_plan": ["<string>"],
"test_plan": ["<string>"]
}
Ads_Performance_Report.json
{
"task_id": "<string>",
"agent_id": "ads_analyst",
"timestamp": "<ISO-8601>",
"performance_summary": ["<string>"],
"diagnosis": ["<string>"],
"optimization_suggestions": ["<string>"],
"alerts": ["<string>"]
}
Copywriting_Pack.json
{
"task_id": "<string>",
"agent_id": "copywriter",
"timestamp": "<ISO-8601>",
"content_type": "<ad_copy|video_script|both>",
"hooks": ["<string>"],
"bodies": ["<string>"],
"ctas": ["<string>"],
"video_sections": [
{
"scene": "<number>",
"message": "<string>",
"duration_seconds": "<number>"
}
]
}
Static_Creative_Brief.json / Storyboard_Brief.json
{
"task_id": "<string>",
"agent_id": "creative_director",
"timestamp": "<ISO-8601>",
"brief_type": "<static|storyboard>",
"visual_direction": ["<string>"],
"must_include": ["<string>"],
"asset_specs": ["<string>"],
"shots": [
{
"scene": "<number>",
"visual": "<string>",
"motion": "<string>",
"caption": "<string>"
}
],
"style_notes": ["<string>"]
}
8.5 新增：會議相關 Schema
Meeting_Request.json（發起會議）
{
"meeting_id": "<string>",
"meeting_type": "<meeting_quant_debate|meeting_strategy_review|meeting_cross_team_sync|meeting_daily_premarket|custom>",
"topic": "<string>",
"requested_by": "<agent_id>",
"participants": ["<agent_id>"],
"moderator": "<agent_id>",
"input_context": ["<schema_name>"],
"max_rounds": "<number>",
"stop_condition": "<string>",
"discord_channel": "<string>"
}
Meeting_Conclusion.json（會議結論）
{
"meeting_id": "<string>",
"meeting_type": "<string>",
"topic": "<string>",
"participants": ["<agent_id>"],
"moderator": "<agent_id>",
"total_rounds": "<number>",
"conclusion": "<string>",
"consensus_reached": "<boolean>",
"key_arguments": [
{
"agent_id": "<string>",
"position": "<string>",
"key_points": ["<string>"]
}
],
"action_items": [
{
"owner": "<agent_id>",
"task": "<string>"
}
],
"dissenting_opinions": ["<string>"],
"next_steps": ["<string>"]
}