vault: add Trading Agents project - hybrid architecture plan and original analysis

2 - Projects/Trading-Agents/Trading Agents 混合架构方案.md

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+---
+created: "2026-03-21"
+type: project
+status: active
+deadline: ""
+tags: [trading, multi-agent, openclaw, openbb, architecture]
+---
+
+# Trading Agents 混合架构方案
+
+## 目标
+
+基于 [[openbb-invest-api]] 的数据层，在 OpenClaw 上实现类似 [TradingAgents](https://github.com/TauricResearch/TradingAgents) 的多角色交易决策系统。核心是**辩论驱动的投资决策**。
+
+---
+
+## 一、TradingAgents 原始架构分析
+
+### 5 大模块
+
+| 模块 | 角色 | 职责 |
+|------|------|------|
+| **Analyst Team** | 市场/社媒/新闻/基本面 4个分析师 | 并行抓数据，各写分析报告 |
+| **Researcher Team** | Bull + Bear + 裁判 | 多空辩论 N 轮，裁判出投资方案 |
+| **Trader** | 交易员 | 根据投资方案做 BUY/SELL/HOLD 决策 |
+| **Risk Mgmt Team** | 激进/保守/中性 + 裁判 | 三方辩论风险，裁判修正决策 |
+| **Memory System** | BM25 相似度检索 | 记住历史情况和教训，下次决策参考 |
+
+### 执行流程（LangGraph 状态机）
+
+```
+START → [Market/Social/News/Fundamentals Analysts 并行]
+     → Bull Researcher ⇄ Bear Researcher (N轮辩论)
+     → Research Manager (裁判裁决)
+     → Trader (交易决策)
+     → Aggressive ⇄ Conservative ⇄ Neutral (风控三方辩论)
+     → Risk Manager (最终裁决)
+     → END (BUY/SELL/HOLD)
+```
+
+### 技术栈
+
+- **编排**：LangGraph (StateGraph + 条件路由)
+- **LLM**：支持 OpenAI/Anthropic/Google/xAI/Ollama
+- **数据**：yfinance + Alpha Vantage
+- **记忆**：BM25 (rank-bm25) 离线相似度检索
+- **辩论**：可配置轮次 (`max_debate_rounds`, `max_risk_discuss_rounds`)
+
+---
+
+## 二、openbb-invest-api 数据覆盖映射
+
+> **结论：openbb-invest-api 已完全覆盖 TradingAgents 所有数据需求，且更丰富。**
+
+| TradingAgents 数据需求 | openbb-invest-api 端点 | 额外优势 |
+|---|---|---|
+| 股票行情 OHLCV | `/stock/{symbol}/historical` | ✅ |
+| 技术指标 (RSI, MACD, BB, ATR) | `/stock/{symbol}/technical/*` | 14种指标 + Ichimoku, Fibonacci 等 |
+| 基本面 (财报、资产负债表) | `/stock/{symbol}/financials`, `/metrics` | ✅ |
+| 公司新闻 | `/stock/{symbol}/news` | ✅ |
+| 宏观新闻 | `/macro/overview`, `/economy/*` | CPI, GDP, 就业, FOMC 等 |
+| 内幕交易 | `/stock/{symbol}/insider-trades` | ✅ |
+| 情感分析 | `/stock/{symbol}/sentiment` | 多源复合评分 (Finnhub + AV + Reddit) |
+
+### openbb-invest-api 独有数据（TradingAgents 没有的）
+
+- 做空数据 (`/shorts/*`)：空头量、FTD、暗池
+- 期权数据 (`/market/options/*`)：期权链、Greeks、IV
+- 固收数据 (`/fixed-income/*`)：收益率曲线、国债、SOFR
+- DeFi 数据 (`/defi/*`)：TVL、收益池、DEX 交易量
+- A 股/港股 (`/cn/*`)：实时行情 + 历史数据
+- 投资组合分析 (`/portfolio/*`)：HRP 优化、风险平价、t-SNE 聚类
+- 回测引擎 (`/backtest/*`)：SMA/RSI/动量策略回测
+
+---
+
+## 三、混合架构设计
+
+### 核心思路
+
+**并行的地方用 `sessions_spawn`，需要对话的地方用 `sessions_send`。**
+
+### 架构图
+
+```
+┌─────────────────────────────────────────────┐
+│  Orchestrator Agent (Judge/PM)              │
+│  Model: Claude Opus (深度推理)               │
+│  SOUL.md: 客观裁判，综合决策                 │
+├─────────────────────────────────────────────┤
+│                                             │
+│  Phase 1: 数据收集 (sessions_spawn 并行)     │
+│  ┌───────────┐ ┌─────────────┐             │
+│  │ Market    │ │ Fundamen-   │             │
+│  │ Analyst   │ │ tals        │             │
+│  │ (Sonnet)  │ │ (Sonnet)    │             │
+│  └───────────┘ └─────────────┘             │
+│  ┌───────────┐ ┌─────────────┐             │
+│  │ Sentiment │ │ News        │             │
+│  │ Analyst   │ │ Analyst     │             │
+│  │ (Haiku)   │ │ (Haiku)     │             │
+│  └───────────┘ └─────────────┘             │
+│                                             │
+│  Phase 2: 多空辩论 (sessions_send ping-pong) │
+│  ┌───────────┐  3-5 轮  ┌───────────┐     │
+│  │ Bull      │◄────────►│ Bear      │     │
+│  │ Researcher│          │ Researcher│     │
+│  │ (Opus)    │          │ (Opus)    │     │
+│  └───────────┘          └───────────┘     │
+│                                             │
+│  Phase 3: 风控辩论 (sessions_send ping-pong) │
+│  ┌───────────┐  2-3 轮  ┌───────────┐     │
+│  │ Aggressive│◄────────►│ Conserva- │     │
+│  │ (Sonnet)  │          │ tive      │     │
+│  └───────────┘          │ (Sonnet)  │     │
+│                         └───────────┘     │
+│                                             │
+│  Phase 4: Orchestrator 综合裁决             │
+│  → 输出 BUY/SELL/HOLD + 完整推理            │
+└─────────────────────────────────────────────┘
+```
+
+### 为什么不用群聊辩论
+
+OpenClaw 的 Multi-Agent Group Chat [尚未实现](https://github.com/openclaw/openclaw/issues/18869)（Issue #18869，PR 未合并）。即使实现了，`sessions_send` 方案也更优：
+
+| 维度 | 群聊辩论 | sessions_send 辩论 |
+|------|---------|-------------------|
+| 流程控制 | 混乱，谁先说不确定 | 结构化，轮次可控 |
+| 循环风险 | 高（可能死循环） | 无（maxPingPongTurns 硬限制） |
+| 上下文 | 所有人共享一个上下文窗口 | 每个 agent 独立上下文，更专注 |
+| Token 成本 | N 个 agent × 完整群聊历史 | 仅辩论双方共享必要上下文 |
+| 可观测性 | 难以追踪谁说了什么 | 完整的 session 记录 |
+| 当前可用性 | ❌ 未实现 | ✅ 已可用 |
+
+### 学术依据
+
+- [ICLR 2025 MAD 研究](https://d2jud02ci9yv69.cloudfront.net/2025-04-28-mad-159/blog/mad/)：**异构 agent + 结构化拓扑**效果最好
+- [Adaptive HMAD](https://link.springer.com/article/10.1007/s44443-025-00353-3)：异构辩论比同构辩论准确率高 4-6%，事实错误减少 30%+
+- 无结构多 agent 网络会**放大错误达 17.2 倍**
+
+---
+
+## 四、OpenClaw 配置详情
+
+### Agent Workspace 结构
+
+```
+~/.openclaw/
+├── openclaw.json                    # 主配置
+├── workspace-orchestrator/          # 编排者
+│   ├── AGENTS.md
+│   ├── SOUL.md                      # 客观裁判人格
+│   ├── MEMORY.md
+│   ├── skills/
+│   │   └── trade-analyze/SKILL.md   # 主入口 skill
+│   └── memory/
+├── workspace-market-analyst/        # 技术分析师
+│   ├── SOUL.md                      # 专注技术指标
+│   └── skills/
+│       └── analyze/SKILL.md         # 调用 /technical/* 端点
+├── workspace-fundamentals-analyst/  # 基本面分析师
+│   ├── SOUL.md
+│   └── skills/
+│       └── analyze/SKILL.md         # 调用 /metrics, /financials
+├── workspace-sentiment-analyst/     # 情感分析师
+│   ├── SOUL.md
+│   └── skills/
+│       └── analyze/SKILL.md         # 调用 /sentiment, /insider-trades
+├── workspace-news-analyst/          # 新闻分析师
+│   ├── SOUL.md
+│   └── skills/
+│       └── analyze/SKILL.md         # 调用 /macro/overview, /economy/*
+├── workspace-bull/                  # 多方研究员
+│   ├── SOUL.md                      # 坚定看多，寻找增长机会
+│   └── MEMORY.md                    # 历史成功案例
+├── workspace-bear/                  # 空方研究员
+│   ├── SOUL.md                      # 谨慎看空，揭示风险
+│   └── MEMORY.md                    # 历史失败教训
+├── workspace-aggressive/            # 激进风控
+│   └── SOUL.md                      # 高风险高回报
+└── workspace-conservative/          # 保守风控
+    └── SOUL.md                      # 资产保护优先
+```
+
+### 核心配置（openclaw.json）
+
+```json5
+{
+  agents: {
+    list: [
+      { id: "orchestrator", workspace: "~/.openclaw/workspace-orchestrator" },
+      { id: "market-analyst", workspace: "~/.openclaw/workspace-market-analyst" },
+      { id: "fundamentals-analyst", workspace: "~/.openclaw/workspace-fundamentals-analyst" },
+      { id: "sentiment-analyst", workspace: "~/.openclaw/workspace-sentiment-analyst" },
+      { id: "news-analyst", workspace: "~/.openclaw/workspace-news-analyst" },
+      { id: "bull", workspace: "~/.openclaw/workspace-bull" },
+      { id: "bear", workspace: "~/.openclaw/workspace-bear" },
+      { id: "aggressive", workspace: "~/.openclaw/workspace-aggressive" },
+      { id: "conservative", workspace: "~/.openclaw/workspace-conservative" }
+    ]
+  },
+  tools: {
+    agentToAgent: {
+      enabled: true,
+      allow: ["orchestrator", "bull", "bear", "aggressive", "conservative"]
+    }
+  },
+  session: {
+    agentToAgent: {
+      maxPingPongTurns: 5  // Bull/Bear 辩论最多 5 轮
+    }
+  }
+}
+```
+
+### sessions_spawn vs sessions_send 用法
+
+**Phase 1 — 并行数据收集（sessions_spawn）：**
+
+Orchestrator 同时 spawn 4 个分析师：
+```
+sessions_spawn → market-analyst (task: "分析 NVDA 技术面")
+sessions_spawn → fundamentals-analyst (task: "分析 NVDA 基本面")
+sessions_spawn → sentiment-analyst (task: "分析 NVDA 市场情绪")
+sessions_spawn → news-analyst (task: "分析 NVDA 宏观环境")
+```
+
+每个 spawn 独立执行，完成后 announce 结果回 Orchestrator。
+
+**Phase 2 — 多空辩论（sessions_send ping-pong）：**
+
+```
+Orchestrator ──sessions_send(报告摘要)──► Bull Agent
+Bull Agent 回复 bull case
+  ──自动 ping-pong──► Bear Agent 反驳
+  ──ping-pong──► Bull 再反驳
+  ...（最多 5 轮，或 agent 回复 REPLY_SKIP 结束）
+Orchestrator 收到完整辩论记录（announce step）
+```
+
+**Phase 3 — 风控辩论（sessions_send ping-pong）：**
+
+同理，Aggressive ⇄ Conservative 2-3 轮。
+
+**Phase 4 — 最终裁决：**
+
+Orchestrator 综合所有报告 + 辩论记录，输出 BUY/SELL/HOLD。
+
+---
+
+## 五、实现路线图
+
+### Phase 1：基础设施（1-2 天）
+
+- [ ] 确保 openbb-invest-api 在 localhost:8000 运行
+- [ ] 安装 OpenClaw，`openclaw onboard`
+- [ ] 创建 9 个 agent workspace
+- [ ] 编写各 agent 的 SOUL.md（人格定义）
+
+### Phase 2：4 个分析师 Skills（2-3 天）
+
+- [ ] market-analyst skill：调用 `/technical/composite`, `/historical`
+- [ ] fundamentals-analyst skill：调用 `/metrics`, `/financials`
+- [ ] sentiment-analyst skill：调用 `/sentiment`, `/insider-trades`, `/reddit/trending`
+- [ ] news-analyst skill：调用 `/macro/overview`, `/economy/*`, `/fixed-income/yield-curve`
+- [ ] 每个 skill 用 `exec` 调用 curl 或封装 Python 脚本
+
+### Phase 3：辩论 + 风控（1-2 天）
+
+- [ ] 配置 `agentToAgent.enabled: true`
+- [ ] 测试 Bull ⇄ Bear `sessions_send` ping-pong
+- [ ] 测试 Aggressive ⇄ Conservative ping-pong
+- [ ] Orchestrator 的 trade-analyze skill 编排完整流程
+
+### Phase 4：记忆 + 复盘（1 天）
+
+- [ ] 利用 OpenClaw 内建 memory 系统
+- [ ] 每次决策存入 `memory/YYYY-MM-DD.md`
+- [ ] 用 `memory_search` 在辩论时检索相似历史
+- [ ] 实现 reflect 机制：对比实际收益，更新记忆
+
+### Phase 5：通道对接 + 优化（1 天）
+
+- [ ] 绑定 Telegram/WhatsApp，直接聊天触发分析
+- [ ] 优化 prompt（减少 token 消耗）
+- [ ] 添加 openbb-invest-api 独有数据源（做空、期权、DeFi）
+
+---
+
+## 六、与 TradingAgents 的差异对比
+
+| 维度 | TradingAgents (LangGraph) | OpenClaw 混合架构 |
+|------|---|---|
+| 编排 | 显式状态机，条件路由 | sessions_spawn + sessions_send |
+| 并行 | 4 分析师真并行 | sessions_spawn 并行 |
+| 辩论 | 多轮循环，独立 LLM 调用 | ping-pong 机制，最多 5 轮 |
+| 记忆 | 自建 BM25 | OpenClaw 内建（BM25 + 向量 + 时间衰减） |
+| 数据 | yfinance 直调 | openbb-invest-api（133+ 端点） |
+| 交互 | 纯 CLI/API | WhatsApp/Telegram/Discord 直接对话 |
+| 部署 | 需要自托管 | OpenClaw 本地运行，开箱即用 |
+
+---
+
+## Related
+
+- [[openbb-invest-api]]
+- [[OpenClaw]]

2 - Projects/Trading-Agents/TradingAgents 原始架构分析.md

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+---
+created: "2026-03-21"
+type: resource
+tags: [trading, multi-agent, langgraph, architecture, reference]
+source: "https://github.com/TauricResearch/TradingAgents"
+---
+
+# TradingAgents 原始架构分析
+
+## 概述
+
+[TradingAgents](https://github.com/TauricResearch/TradingAgents) 是一个基于 LangGraph 的多角色 LLM 交易决策框架，模拟真实交易公司的协作流程：分析师团队 → 多空辩论 → 交易决策 → 风控辩论 → 最终裁决。
+
+---
+
+## 核心文件结构
+
+| 文件 | 职责 |
+|------|------|
+| `tradingagents/graph/trading_graph.py` | 主入口，编排整个系统 |
+| `tradingagents/graph/setup.py` | 构建 LangGraph 状态机 |
+| `tradingagents/graph/conditional_logic.py` | 条件路由（工具调用 / 辩论轮次） |
+| `tradingagents/agents/analysts/*.py` | 4 个分析师（市场/社媒/新闻/基本面） |
+| `tradingagents/agents/researchers/*.py` | Bull/Bear 研究员 + Research Manager |
+| `tradingagents/agents/risk_mgmt/*.py` | 激进/保守/中性风控辩论者 |
+| `tradingagents/agents/trader/trader.py` | 交易员 |
+| `tradingagents/agents/utils/agent_states.py` | TypedDict 状态定义 |
+| `tradingagents/agents/utils/memory.py` | BM25 记忆系统 |
+| `tradingagents/dataflows/interface.py` | 数据供应商路由 + 降级策略 |
+| `tradingagents/dataflows/y_finance.py` | yfinance 数据实现 |
+| `tradingagents/graph/reflection.py` | 交易后复盘，更新记忆 |
+| `tradingagents/graph/signal_processing.py` | 从冗长输出提取 BUY/SELL/HOLD |
+
+---
+
+## 分析师团队（并行执行）
+
+### Market Analyst
+- 技术分析：SMA, EMA, MACD, RSI, Bollinger Bands, ATR, VWMA
+- 工具：`get_stock_data`, `get_indicators`
+- 数据源：yfinance + stockstats
+
+### Social Media Analyst
+- 公司新闻 + 情感分析
+- 工具：`get_news`
+
+### News Analyst
+- 宏观经济 + 世界大事
+- 工具：`get_news`, `get_global_news`
+
+### Fundamentals Analyst
+- 财务报表 + 公司指标
+- 工具：`get_fundamentals`, `get_balance_sheet`, `get_cashflow`, `get_income_statement`
+
+---
+
+## 辩论机制
+
+### 投资辩论（Bull vs Bear）
+
+1. Bull Researcher 阅读所有报告 + 检索历史相似情况 → 提出看多论点
+2. Bear Researcher 阅读报告 + 历史 → 反驳
+3. 循环 `max_debate_rounds` 轮（默认 1 轮）
+4. Research Manager（裁判）读完整辩论历史 + 过去的裁决记忆 → 输出投资方案
+
+### 风控辩论（三方）
+
+1. Aggressive Analyst：高风险高回报
+2. Conservative Analyst：稳健保守
+3. Neutral Analyst：平衡两方
+4. 循环 `max_risk_discuss_rounds` 轮（默认 1 轮 × 3 人 = 3 turns）
+5. Risk Manager（裁判）修正交易方案 → 最终决策
+
+### 辩论路由逻辑
+
+```python
+# conditional_logic.py
+def should_continue_debate(state):
+    # 辩论历史长度 >= max_debate_rounds * 2 → 结束
+    # 否则交替 Bull → Bear → Bull → Bear
+
+def should_continue_risk_analysis(state):
+    # 长度 >= max_risk_discuss_rounds * 3 → 结束
+    # 循环 Aggressive → Conservative → Neutral
+```
+
+---
+
+## BM25 记忆系统
+
+### 结构
+
+```python
+class FinancialSituationMemory:
+    # 存储: (market_situation_description, recommendation) 元组列表
+    # 检索: BM25 相似度，取 top-n 最相似历史情况
+    # 无需 API，完全离线
+```
+
+### 5 个独立记忆库
+
+1. Bull Researcher Memory
+2. Bear Researcher Memory
+3. Research Manager Memory
+4. Trader Memory
+5. Risk Manager Memory
+
+### 复盘机制
+
+```python
+# reflection.py
+class Reflector:
+    def reflect_and_remember(self, returns_losses):
+        # 分析交易结果（盈亏）
+        # 生成教训总结
+        # 更新各角色的记忆库
+```
+
+---
+
+## LangGraph 状态定义
+
+```python
+class AgentState(TypedDict):
+    company_of_interest: str      # 股票代码
+    trade_date: str               # 交易日期
+    market_report: str            # 市场分析报告
+    sentiment_report: str         # 情感分析报告
+    news_report: str              # 新闻分析报告
+    fundamentals_report: str      # 基本面报告
+    invest_debate_state: dict     # 多空辩论状态
+    risk_debate_state: dict       # 风控辩论状态
+    final_trade_decision: str     # 最终决策
+```
+
+---
+
+## 数据供应商抽象层
+
+```python
+# interface.py - 供应商路由
+def route_to_vendor(tool_name, category, params):
+    vendor = config["data_vendors"].get(category, "yfinance")
+    try:
+        return vendors[vendor][tool_name](params)
+    except RateLimit:
+        return vendors["yfinance"][tool_name](params)  # 降级
+```
+
+支持的供应商：
+- yfinance（默认，免费）
+- Alpha Vantage（需 API key）
+- 按 category 级别配置，支持 tool 级别覆盖
+
+---
+
+## 调用方式
+
+```python
+ta = TradingAgentsGraph(config={
+    "llm_provider": "openai",
+    "deep_think_llm": "gpt-5.2",
+    "quick_think_llm": "gpt-5-mini",
+    "max_debate_rounds": 1,
+    "max_risk_discuss_rounds": 1,
+})
+final_state, decision = ta.propagate("NVDA", "2024-05-10")
+# decision = "BUY" | "SELL" | "HOLD"
+
+# 复盘
+ta.reflect_and_remember(returns_losses=1500)
+```
+
+---
+
+## Related
+
+- [[Trading Agents 混合架构方案]]
+- [[openbb-invest-api]]

4 - Resources/Claude-Code/Everything Claude Code 完整指南.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 21:30"
 type: resource
-tags: [claude-code, AI-tools, development-workflow, reference]
+tags: [resource, claude-code, AI-tools, development-workflow, reference]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -253,11 +253,19 @@ ECC_DISABLED_HOOKS="pre:bash:tmux-reminder,post:edit:typecheck"
 
 ## Related
 
+### Resources
+- [[Everything Claude Code 方法论与最佳实践]]
 - [[Everything Claude Code 用法速查]]
-- [[Claude Code Memory 日常最佳实践]]
+
+### Zettelkasten
 - [[Everything Claude Code 最佳实践]]
 - [[Everything Claude Code Agent 编排模式]]
 - [[Everything Claude Code Token 优化]]
+- [[Everything Claude Code 多服务编排详解]]
+- [[Claude Code Memory 日常最佳实践]]
+- [[Hook驱动优于提示词驱动]]
+- [[MCP数量与上下文窗口的反比关系]]
+- [[本能学习系统的演化路径]]
 
 ## Source
 

4 - Resources/Claude-Code/Everything Claude Code 方法论与最佳实践.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-19 12:00"
 type: resource
-tags: [claude-code, AI-tools, methodology, best-practices, agent-orchestration]
+tags: [resource, claude-code, AI-tools, methodology, best-practices, agent-orchestration]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -925,6 +925,18 @@ ECC 自动检测项目使用的包管理器，遵循 6 级优先级:
 
 ## Related
 
+### Resources
 - [[Everything Claude Code 完整指南]]
 - [[Everything Claude Code 用法速查]]
 - [[GSD 方法论与最佳实践]]
+
+### Zettelkasten
+- [[Everything Claude Code 最佳实践]]
+- [[Everything Claude Code Agent 编排模式]]
+- [[Everything Claude Code Token 优化]]
+- [[Everything Claude Code 多服务编排详解]]
+- [[Claude Code Memory 日常最佳实践]]
+- [[Hook驱动优于提示词驱动]]
+- [[MCP数量与上下文窗口的反比关系]]
+- [[本能学习系统的演化路径]]
+- [[上下文腐烂与全新窗口隔离]]

4 - Resources/Claude-Code/Everything Claude Code 用法速查.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 22:10"
 type: resource
-tags: [claude-code, AI-tools, development-workflow, cheatsheet]
+tags: [resource, claude-code, AI-tools, development-workflow, cheatsheet]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -172,12 +172,16 @@ source: "https://github.com/affaan-m/everything-claude-code"
 
 ## Related
 
+### Resources
 - [[Everything Claude Code 完整指南]]
-- [[Everything Claude Code 多服务编排详解]]
+- [[Everything Claude Code 方法论与最佳实践]]
-- [[Claude Code Memory 日常最佳实践]]
+
+### Zettelkasten
 - [[Everything Claude Code 最佳实践]]
 - [[Everything Claude Code Agent 编排模式]]
 - [[Everything Claude Code Token 优化]]
+- [[Everything Claude Code 多服务编排详解]]
+- [[Claude Code Memory 日常最佳实践]]
 
 ## Source
 

4 - Resources/Claude-Code/GSD 方法论与最佳实践.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-20 10:00"
 type: resource
-tags: [claude-code, AI-tools, methodology, best-practices, project-management, gsd]
+tags: [resource, claude-code, AI-tools, methodology, best-practices, project-management, gsd]
 source: "https://github.com/gsd-build/get-shit-done"
 ---
 
@@ -901,6 +901,12 @@ fix(1-C): apply auth middleware to admin routes
 
 ## Related
 
+### Resources
 - [[Everything Claude Code 完整指南]]
 - [[Everything Claude Code 用法速查]]
 - [[Everything Claude Code 方法论与最佳实践]]
+
+### Zettelkasten
+- [[上下文腐烂与全新窗口隔离]]
+- [[目标回溯验证vs正向任务检查]]
+- [[Plans as Prompts设计模式]]

4 - Resources/Engineering/Billo Release & PR Review Workflow.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-17"
 type: resource
-tags: [engineering, workflow, azure-devops, jira, slack, billo]
+tags: [resource, engineering, workflow, azure-devops, jira, slack, billo]
 source: "C:/Users/yaoji/git/Billo/release-workflow/SKILL.md"
 ---
 

4 - Resources/HomeLab/HomeLab Infrastructure.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-10"
 type: resource
-tags: [infrastructure, homelab, kubernetes, ci-cd, gitops]
+tags: [resource, infrastructure, homelab, kubernetes, ci-cd, gitops]
 source: "HomeLab 部署实践"
 ---
 

4 - Resources/HomeLab/OpenBB Invest API - K8s Infrastructure.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-09"
 type: resource
-tags: [kubernetes, infrastructure, devops, drone-ci, argocd, docker-registry]
+tags: [resource, kubernetes, infrastructure, devops, drone-ci, argocd, docker-registry, homelab]
 source: "openbb-invest-api 项目部署实践"
 ---
 

4 - Resources/Networking/OpenClash-Config-Review-2026-03-19.md

@@ -1,8 +1,10 @@
 ---
 tags:
+  - resource
   - openclash
   - vless-reality
   - security-audit
+  - networking
   - router
   - homelab
 ---

4 - Resources/Networking/OpenClash-Configuration.md

@@ -1,8 +1,10 @@
 ---
 tags:
+  - resource
   - openclash
   - vless-reality
   - clash-config
+  - networking
   - router
   - dns
   - homelab

4 - Resources/Networking/VLESS-REALITY-Client-macOS.md

@@ -1,8 +1,10 @@
 ---
 tags:
+  - resource
   - openclash
   - vless-reality
   - proxy
+  - networking
   - macOS
   - homelab
 ---

4 - Resources/Networking/VLESS-REALITY-Router-iStoreOS.md

@@ -1,7 +1,9 @@
 ---
 tags:
+  - resource
   - openclash
   - vless-reality
+  - networking
   - iStoreOS
   - router
   - dns

4 - Resources/Networking/VLESS-REALITY-Setup-Guide.md

@@ -1,8 +1,10 @@
 ---
 tags:
+  - resource
   - openclash
   - vless-reality
   - proxy
+  - networking
   - setup-guide
   - homelab
 ---

4 - Resources/Networking/VLESS-Reality 翻墙回国.md

@@ -1,12 +1,12 @@
 ---
 created: "2026-03-15"
-type: project
+type: resource
-status: active
-deadline: ""
 tags:
+  - resource
   - openclash
   - vless-reality
   - proxy
+  - networking
   - homelab
 ---
 

4 - Resources/OpenClaw/OpenClaw Agent 配置详情.md

@@ -1,8 +1,7 @@
 ---
 created: "2026-03-19 17:00"
-type: project
+type: resource
-status: active
+tags: [resource, openclaw, ai-agent, discord, multi-agent, homelab]
-tags: [openclaw, ai-agent, discord, multi-agent]
 source: "ssh yiukai@192.168.68.108 ~/.openclaw/openclaw.json"
 ---
 

4 - Resources/OpenClaw/OpenClaw 部署配置分析.md

@@ -1,8 +1,7 @@
 ---
 created: "2026-03-19 17:00"
-type: project
+type: resource
-status: active
+tags: [resource, openclaw, ai-gateway, discord, homelab, deployment]
-tags: [openclaw, ai-gateway, discord, homelab, deployment]
 source: "ssh yiukai@192.168.68.108 ~/.openclaw/"
 ---
 

4 - Resources/OpenClaw/OpenClaw-Skill-Reference.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-10"
 type: resource
-tags: [openclaw, ai-gateway, claude-code, skill]
+tags: [resource, openclaw, ai-gateway, claude-code, skill, homelab]
 source: "https://docs.openclaw.ai/"
 ---
 

4 - Resources/Security/OpenVAS Usage Guide.md

@@ -2,6 +2,7 @@
 created: "2026-03-08"
 type: resource
 tags:
+  - resource
   - security
   - openvas
   - vulnerability-scanning

4 - Resources/Security/PVE Security Scanner.md

@@ -1,13 +1,13 @@
 ---
 created: "2026-03-08"
-type: project
+type: resource
-status: active
-deadline: ""
 tags:
+  - resource
   - homelab
   - security
   - proxmox
   - networking
+  - vulnerability-scanning
 ---
 
 # PVE Security Scanner

6 - Zettelkasten/20260307120000 PARA 与 Zettelkasten 的互补关系.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-07 12:00"
 type: zettel
-tags: [concept, PKM]
+tags: [zettel, concept, PKM, knowledge-management, zettelkasten]
 source: "Tiago Forte - Building a Second Brain / Niklas Luhmann - Zettelkasten"
 ---
 

6 - Zettelkasten/20260308213000 Everything Claude Code 最佳实践.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 21:30"
 type: zettel
-tags: [claude-code, best-practices, AI-tools]
+tags: [zettel, claude-code, best-practices, AI-tools]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -43,5 +43,7 @@ source: "https://github.com/affaan-m/everything-claude-code"
 ## Related
 
 - [[Everything Claude Code 完整指南]]
+- [[Everything Claude Code 方法论与最佳实践]]
+- [[Everything Claude Code 用法速查]]
 - [[Everything Claude Code Agent 编排模式]]
 - [[Everything Claude Code Token 优化]]

6 - Zettelkasten/20260308213100 Everything Claude Code Agent 编排模式.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 21:31"
 type: zettel
-tags: [claude-code, agent-orchestration, workflow]
+tags: [zettel, claude-code, agent-orchestration, workflow]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -47,6 +47,7 @@ Phase 5: VERIFY (build-error-resolver) → done or loop
 
 ## Related
 
+- [[Everything Claude Code 完整指南]]
+- [[Everything Claude Code 方法论与最佳实践]]
 - [[Everything Claude Code 多服务编排详解]]
 - [[Everything Claude Code 最佳实践]]
-- [[Everything Claude Code 完整指南]]

6 - Zettelkasten/20260308213200 Everything Claude Code Token 优化.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 21:32"
 type: zettel
-tags: [claude-code, token-optimization, cost]
+tags: [zettel, claude-code, token-optimization, cost]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -43,5 +43,7 @@ Skill 启动时只读描述（约 100 tokens），只在相关时才加载完整
 
 ## Related
 
+- [[Everything Claude Code 完整指南]]
+- [[Everything Claude Code 用法速查]]
 - [[Everything Claude Code 最佳实践]]
 - [[Everything Claude Code Agent 编排模式]]

6 - Zettelkasten/20260308221500 Everything Claude Code 多服务编排详解.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 22:15"
 type: zettel
-tags: [claude-code, multi-agent, orchestration, workflow]
+tags: [zettel, claude-code, multi-agent, orchestration, workflow]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -568,9 +568,10 @@ Team Lead 通过 Task 状态自动判断何时启动下一阶段，不需要人
 
 ## Related
 
+- [[Everything Claude Code 完整指南]]
+- [[Everything Claude Code 方法论与最佳实践]]
 - [[Everything Claude Code 用法速查]]
 - [[Everything Claude Code Agent 编排模式]]
-- [[Everything Claude Code 完整指南]]
 
 ## Source
 

6 - Zettelkasten/20260308223000 Claude Code Memory 日常最佳实践.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-08 23:30"
 type: zettel
-tags: [claude-code, memory, persistence, workflow, best-practice]
+tags: [zettel, claude-code, memory, persistence, workflow, best-practices]
 source: "daily usage + ECC documentation"
 ---
 
@@ -180,9 +180,10 @@ Claude → 更新 MEMORY.md 索引
 
 ## Related
 
-- [[Everything Claude Code 多服务编排详解]]
-- [[Everything Claude Code 用法速查]]
 - [[Everything Claude Code 完整指南]]
+- [[Everything Claude Code 方法论与最佳实践]]
+- [[Everything Claude Code 用法速查]]
+- [[Everything Claude Code 多服务编排详解]]
 
 ## Source
 

6 - Zettelkasten/20260319120100 Hook驱动优于提示词驱动.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-19 12:01"
 type: zettel
-tags: [claude-code, agent-reliability, automation]
+tags: [zettel, claude-code, agent-reliability, automation]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 

6 - Zettelkasten/20260319120200 MCP数量与上下文窗口的反比关系.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-19 12:02"
 type: zettel
-tags: [claude-code, context-window, performance, mcp]
+tags: [zettel, claude-code, context-window, performance, mcp]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -24,5 +24,6 @@ source: "https://github.com/affaan-m/everything-claude-code"
 
 ## Related
 
+- [[Everything Claude Code 完整指南]]
 - [[Everything Claude Code 方法论与最佳实践]]
 - [[Hook驱动优于提示词驱动]]

6 - Zettelkasten/20260319120300 本能学习系统的演化路径.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-19 12:03"
 type: zettel
-tags: [claude-code, machine-learning, continuous-improvement, agent-evolution]
+tags: [zettel, claude-code, machine-learning, continuous-improvement, agent-evolution]
 source: "https://github.com/affaan-m/everything-claude-code"
 ---
 
@@ -26,5 +26,6 @@ ECC 的 Continuous Learning v2.1 实现了一个 AI Agent 自我改进的闭环
 
 ## Related
 
+- [[Everything Claude Code 完整指南]]
 - [[Everything Claude Code 方法论与最佳实践]]
 - [[Hook驱动优于提示词驱动]]

6 - Zettelkasten/20260320100100 上下文腐烂与全新窗口隔离.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-20 10:01"
 type: zettel
-tags: [claude-code, context-window, ai-quality, gsd]
+tags: [zettel, claude-code, context-window, ai-quality, gsd]
 source: "https://github.com/gsd-build/get-shit-done"
 ---
 

6 - Zettelkasten/20260320100200 目标回溯验证vs正向任务检查.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-20 10:02"
 type: zettel
-tags: [verification, methodology, ai-quality, gsd]
+tags: [zettel, claude-code, verification, methodology, ai-quality, gsd]
 source: "https://github.com/gsd-build/get-shit-done"
 ---
 

6 - Zettelkasten/20260320100300 Plans as Prompts设计模式.md

@@ -1,7 +1,7 @@
 ---
 created: "2026-03-20 10:03"
 type: zettel
-tags: [prompt-engineering, ai-architecture, gsd]
+tags: [zettel, claude-code, prompt-engineering, ai-architecture, gsd]
 source: "https://github.com/gsd-build/get-shit-done"
 ---