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Analyzes bear-put-spread debit spreads for bearish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price decline, compar...
Game theory, network/systemic risk views, queueing/order-book, exchange notes.
Analyzes protective collar strategies combining long stock, long put protection, and short call income. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0. Use when protecting stock positions with reduced...
Analyzes bull-call-spread debit spreads for bullish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price increase, comp...
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lo...
Information theory (entropy/MI/TE) and causal inference for trading signals.
Optimal execution, control theory, queueing/order-book, exchange microstructure.
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Expert in Python 3.10+ fundamentals and best practices for the Drift project including import ordering (isort), code organization, and PEP 8 conventions. Use when writing or reviewing Python code.
Expert in creating comprehensive pytest test suites for Drift project with strict 90%+ coverage requirements. Specializes in unit tests, integration tests, mocking external APIs (Anthropic, AWS Bedrock), and co...
Expert in GitHub workflows including issue management, PR operations, and branch conventions. Use when working with GitHub via MCP.
Expert in writing concise, factual git commit messages for Drift project without AI fluff. Use when committing code changes, creating releases, or reviewing commit history before PRs.
Expert in creating well-structured GitHub issues with clear problem statements, specific acceptance criteria, and actionable technical context using GitHub MCP. Specializes in feature requests, bug reports, and...
Expert in creating well-structured pull requests with clear summaries. Use when writing or structuring PRs.
Expert in auditing Sphinx/RST documentation for Drift project. Use when validating code examples and removing subjective language before release.
Expert in maintaining code quality standards using flake8, black, isort, and mypy. Use when fixing linting errors or enforcing code style.
Expert in PyPI package releases for ai-drift including SemVer version bumping, CHANGELOG.md maintenance, git tagging, and automated GitHub Actions publishing. Use when releasing a new version to PyPI or managin...
Plans pytest test strategies for Drift's 90%+ coverage requirement using coverage analysis, edge case identification, and test suite design. Use when determining what tests to write, analyzing coverage gaps, or...
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has be...
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
Suite of tools for creating elaborate, multi-component HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or s...
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof aga...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。