feat: Skills 全面升級 v3 — 真實開源技能 + 台股覆蓋 + 完整文檔
## 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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skills/trader-memory-core/SKILL.md
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skills/trader-memory-core/SKILL.md
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---
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name: 交易員記憶核心
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description: 持久化論點生命週期管理,追蹤從想法到平倉的完整交易記錄(IDEA→ENTRY_READY→ACTIVE→CLOSED),含 P&L、MAE/MFE 與事後分析
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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/trader-memory-core/SKILL.md
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usage: referenced
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---
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# 交易員記憶核心
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KingClawArmy 的持久記憶層。記錄所有交易論點的完整生命週期,並作為所有 Agent 的共享狀態存儲,確保跨對話的資訊不遺失。
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## 論點狀態機
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```
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IDEA → ENTRY_READY → ACTIVE → CLOSED
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↑ ↓
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(修訂) (平倉/止損)
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```
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- **IDEA**:初步假設,尚未驗證
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- **ENTRY_READY**:通過審查,等待進場條件
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- **ACTIVE**:已進場,持倉中
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- **CLOSED**:已平倉(含盈虧記錄)
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## 功能
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- 跨對話持久化論點狀態
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- 追蹤每個論點的 P&L、MAE(最大不利移動)、MFE(最大有利移動)
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- 從所有篩選器(CANSLIM、VCP、PEAD、Edge Pipeline)接收輸入
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- 觸發事後分析(Signal Postmortem)
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- 按狀態、市場、方向、信心度查詢論點
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## 輸入來源
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- 所有篩選器 Agent 的輸出
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- 量化策略師的 Strategy_Thesis.json
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- 市場事件更新
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## 輸出格式
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- 持久化 YAML/Markdown 記憶檔案
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- 論點列表(按狀態篩選)
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- P&L 摘要報告
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- 事後分析觸發請求
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## 需要的 MCP 工具
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- 檔案系統(讀寫持久化記憶)
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- 任何提供現價的 MCP(yfinance、casual-market)
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