Agent Skills: ast-cqo
CQO (Jim Simons)|需要量化假设设计、回测与复现、模型评估与独立复核、组合风险控制或实验预登记时调用。典型信号:量化、回测、策略、因子、A股、选股、组合风险。 不适用:需要资本配置与预算决策、实盘下单或交易执行、经营现金流与利润预测,或问题缺少可复现数据与量化口径。
agi-super-team-agentsID: aaaaqwq/claude-code-skills/ast-cqo
11426
Install this agent skill to your local
Skill Files
The files that make up ast-cqo.
Loading file tree…
More agent skills
- terraform-best-practicesTerraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale.
- pr-descriptionDraft or update a GitHub PR description that explains the problem, changed behavior, and review concerns in plain language.
- token-integration-analyzerToken integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.
- project-managerPlan and track projects with timelines, resources, and risk management
- ha-quality-scale-verifyVerifies that a Home Assistant integration follows a specific quality scale rule, checking whether it implements the required patterns, configurations, or code structures defined by the quality scale system. Use when asked to check a rule (e.g. "check if the peblar integration follows the config-flow rule") or to verify an integration reaches a quality tier (Bronze, Silver, Gold, Platinum).
- root-cause-tracingUse when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior