## Skills 變動(38 個技能)
- 刪除:para-memory-files(不存在於任何真實 repo)
- 新增 20 個來自真實開源 repo 的技能:
tradermonty: trader-memory-core, earnings-calendar, sector-analyst,
uptrend-analyzer, macro-regime-detector, canslim-screener,
vcp-screener, ftd-detector, downtrend-duration-analyzer,
edge-pipeline-orchestrator, trade-hypothesis-ideator,
strategy-pivot-designer, data-quality-checker, edge-candidate-agent
anthropics: doc-coauthoring, internal-comms, xlsx
langalpha: morning-note, thesis-tracker, initiating-coverage
## Agent 技能更新(9 個 Agent)
- finance-researcher: 3 → 5 個技能(+earnings-calendar, morning-note)
- market-structure-researcher: 2 → 5 個技能(+sector-analyst, uptrend-analyzer, macro-regime-detector)
- bullish-researcher: 2 → 6 個技能(+canslim-screener, vcp-screener, ftd-detector, initiating-coverage)
- bearish-researcher: 2 → 3 個技能(+downtrend-duration-analyzer)
- quant-strategist: 3 → 7 個技能(+edge-pipeline-orchestrator, trade-hypothesis-ideator, thesis-tracker, macro-regime-detector)
- quant-engineer: 2 → 4 個技能(+strategy-pivot-designer, data-quality-checker)
- data-analyst: 1 → 3 個技能(+edge-candidate-agent, xlsx)
- reviewer: 1 → 2 個技能(+data-quality-checker)
- secretary: para-memory-files → trader-memory-core + doc-coauthoring + internal-comms
## 文檔新增(3 份)
- docs/skills-inventory.md:四大 repo 完整技能調查(tradermonty 51、OctagonAI 66、langalpha 26、anthropics 17)
- docs/mcp-plan.md:8 個 MCP Server 完整配置方案(台股+美股+總經+加密)
- docs/agent-skill-mapping.md:Agent 技能對應表 v2.0(含台股覆蓋說明)
## 台股覆蓋
- MCP 計畫包含 CasualMarket(23工具)+ twsemcp(22工具)+ Fugle 官方
- morning-note 技能整合台股盤前數據(外資、融資融券、台指期)
- market-environment-analysis 明確涵蓋台股加權指數
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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---
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name: 策略轉向設計師
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description: 偵測回測策略停滯或陷入局部最優,自動提出結構性不同的策略轉向方案,突破策略開發瓶頸
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metadata:
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sources:
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- kind: github-file
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repo: tradermonty/claude-trading-skills
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path: skills/strategy-pivot-designer/SKILL.md
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usage: referenced
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---
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# 策略轉向設計師
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當回測工程師的策略陷入停滯或過度擬合時,提供結構性不同的替代方向。
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## 問題偵測
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識別以下回測問題:
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- **停滯**:多次參數調整後績效無明顯提升
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- **局部最優**:Sharpe Ratio 卡在次優解
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- **過度擬合**:樣本內好但樣本外差
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- **環境依賴**:只在特定市場環境有效
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## 轉向設計流程
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1. 分析當前策略的核心 Edge 來源
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2. 識別結構性限制(為什麼當前方向無法繼續改進)
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3. 提出 3 個結構性不同的替代方向:
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- 方向 A:改變進場邏輯
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- 方向 B:改變持倉/出場邏輯
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- 方向 C:改變市場/時間框架
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4. 每個方向附帶初始假設與驗證建議
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## 輸入
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- 當前策略描述與回測績效摘要
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- 失敗的優化歷史
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## 輸出
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- 停滯診斷報告
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- 3 個轉向方案(含預期 Edge 來源與初步驗證方法)
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