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cryptotrader-ai
cryptotrader-ai contains 19 collected skills from ma-pony, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
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 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 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。
CryptoTrader AI 市场情报技能。提供 4 个专业 agent（技术分析/链上分析/新闻情感/宏观分析）的最新分析结果及完整市场快照数据，外部 agent 可获取结构化市场判断用于决策辅助。
CryptoTrader AI 交易决策流技能。提供最新 verdict 查询、实时 SSE 订阅及心跳监控，外部 agent 可用于跟踪交易信号并在决策事件发生时触发下游动作。
Shared trading knowledge including market microstructure definitions, regime taxonomy, funding rate semantics, and cross-agent pattern attribution rules.
Shared test skill for E2E prompt externalization tests (spec 017b).
TechAgent-specific test skill for E2E prompt externalization tests (spec 017b).
A skill that already has importance field but is missing the other new fields.
Technical analysis skill for interpreting price action, chart patterns, and momentum indicators.
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Execute the implementation plan by processing and executing all tasks defined in tasks.md
Execute the implementation planning workflow using the plan template to generate design artifacts.
Create or update the feature specification from a natural language feature description.
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.