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/canslim-screener/SKILL.md
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---
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name: CANSLIM 選股篩選器
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description: William O'Neil 七成分成長股方法論(C-A-N-S-L-I-M),加權評分篩選最強成長股,Phase 3 完整實作
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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/canslim-screener/SKILL.md
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usage: referenced
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---
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# CANSLIM 選股篩選器
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實作 William O'Neil 的 CANSLIM 方法論,系統化篩選具備成長動能的優質股票。約 1200 行的深度技能。
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## CANSLIM 七成分
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| 字母 | 含義 | 評估標準 |
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|---|---|---|
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| **C** | Current Earnings | 當季 EPS 成長 ≥ 25% |
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| **A** | Annual Earnings | 年度 EPS 成長 ≥ 25%,連續3年 |
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| **N** | New(產品/管理/高點) | 新高、突破型態 |
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| **S** | Supply & Demand | 低流通股 + 大量機構買進 |
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| **L** | Leader or Laggard | RS 評分 ≥ 80 |
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| **I** | Institutional Sponsorship | 機構持股增加 |
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| **M** | Market Direction | 市場處於多頭環境 |
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## 三階段實作
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1. **Phase 1**:FINVIZ 初步篩選(快速過濾)
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2. **Phase 2**:FMP API 深度驗證(財務數據)
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3. **Phase 3**:加權評分排名(綜合 C-A-N-S-L-I-M)
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## 需要的 MCP 工具
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- `yfinance`:歷史價格與財務數據
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- `tradingview`:RS 評分與篩選
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- `fred`:市場環境確認
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## 輸出格式
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- 候選股票列表(含評分與分項評分)
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- 各成分達標/不達標標記
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- 建議觀察名單
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## 使用時機
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市場處於多頭環境時,用於識別最強成長股
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