CryptoTrader AI Trilogy 进化系统产出技能。提供 skill 提案列表、pattern 统计及 skill 详情查询，外部 agent 可追踪系统自我进化状态并获取最新策略模式数据。
CryptoTrader AI Trilogy 进化系统产出技能。提供 skill 提案列表、pattern 统计及 skill 详情查询，外部 agent 可追踪系统自我进化状态并获取最新策略模式数据。
npx skills add https://github.com/ma-pony/cryptotrader-ai --skill evolution-insights复制此命令并粘贴到 Claude Code 中以安装该技能
On-chain analysis skill for interpreting blockchain data including funding rates, exchange flows, whale activity, and open interest to gauge market positioning.
Macroeconomic analysis skill for interpreting Fed policy, dollar strength, ETF flows, and risk-on/risk-off sentiment to assess crypto macro tailwinds and headwinds.
News and sentiment analysis skill for evaluating news headlines, regulatory events, and social sentiment to identify market-moving catalysts.
Technical analysis skill for interpreting price action, chart patterns, and momentum indicators to generate directional trading signals.
CryptoTrader AI 多智能体加密货币交易系统的外部集成引导技能。包含本地安装说明、子技能路由表、API 认证方式及未来 JWT 设计存档。
CryptoTrader AI 执行回放技能。提供 journal 事件流查询和 OCO 算法订单状态查询，外部 agent 可追踪每笔交易的完整执行生命周期，用于风控审计、PnL 归因和异常检测。
| name | evolution-insights |
| description | CryptoTrader AI Trilogy 进化系统产出技能。提供 skill 提案列表、pattern 统计及 skill 详情查询，外部 agent 可追踪系统自我进化状态并获取最新策略模式数据。 |
| version | 1.0 |
CryptoTrader AI 包含一个持续自我进化的 Trilogy 系统，通过 Memory Evolution、 Skill Evolution 和 Evolution Daemon 三层架构自动提炼交易经验。本技能描述 如何查询进化系统的产出数据。
CaseRecord (每次交易周期)
↓ Memory Evolution — 蒸馏 PatternRecord
PatternRecord (策略模式，FSM 成熟度管理)
↓ Skill Evolution — LLM 提案 SkillRecord
SkillRecord / SKILL.md (agent 注入的技能，git 跟踪)
# 获取所有 internal skill 的摘要列表
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/skills"
# 按 agent 过滤
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/skills?agent=tech"
响应示例（SkillRecord 列表）：
{
"items": [
{
"name": "tech-analysis",
"scope": "agent:tech",
"version": "1.0",
"description": "Technical analysis skill for interpreting price action...",
"importance": 0.8,
"confidence": 0.75,
"access_count": 414,
"last_accessed_at": "2026-05-13T02:46:27Z",
"manually_edited": false,
"regime_tags": []
}
],
"total": 5
}
# 获取所有已知 pattern 统计（active + probationary）
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/patterns"
# 按 agent + 成熟度过滤
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/patterns?agent=tech&maturity=active"
PatternRecord schema 示例：
{
"name": "funding_squeeze_long",
"agent": "tech",
"description": "资金费率从极负值快速回升时的看多形态",
"maturity": "active",
"regime_tags": ["negative_funding"],
"pnl_track": {
"cases": 23,
"win_rate": 0.61,
"avg_pnl": 127.4,
"last_active": "2026-05-16T08:00:00Z"
},
"created": "2026-04-01T00:00:00Z"
}
Evolution Daemon 每天自动生成 skill 优化提案（.draft 文件），等待人工审核。
# 获取待审核的 skill 提案列表
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/skill-proposals"
响应示例：
{
"items": [
{
"name": "tech-analysis",
"draft_path": "agent_skills/_internal/tech-analysis/SKILL.md.draft",
"created_at": "2026-05-17T03:00:00Z",
"llm_inferred_metadata": {
"regime_tags": ["high_funding"],
"triggers_keywords": ["rsi", "funding", "squeeze"],
"importance": 0.85,
"confidence": 0.78
},
"llm_call_failed": false,
"user_saved": false
}
],
"total": 1
}
# 获取 skill 调用频率统计（用于观测 agent 使用偏好）
curl -H "X-API-Key: $API_KEY" \
"http://localhost:8000/api/memory/skill-access"
docs/api/memory.yamlSkillRecord / PatternRecord Pydantic 定义：src/api/routes/memory.pyGET /skill/cryptotrader 中的认证说明