GitHub
bond-pricing
Price fixed income securities using present value, yield-to-maturity, and market conventions. Handles treasuries, corporates, municipals with various coupon frequencies. Requires numpy>=1.24.0, pandas>=2.0.0, s...
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内容与媒体 AI 技能
发现 内容与媒体 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
advanced-math-tradingrobustness-risk
Tail risk, EVT, regularization, validation guardrails, and common pitfalls.
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GitHub
long-call-butterfly
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-c...
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GitHub
bear-put-spread
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...
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GitHub
advanced-math-tradingmicrostructure-game
Game theory, network/systemic risk views, queueing/order-book, exchange notes.
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GitHub
protective-collar
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...
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GitHub
bull-call-spread
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...
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GitHub
long-strangle
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...
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GitHub
advanced-math-tradinginformation-causal
Information theory (entropy/MI/TE) and causal inference for trading signals.
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GitHub
advanced-math-tradingexecution-control
Optimal execution, control theory, queueing/order-book, exchange microstructure.
☆ 1查看技能
GitHub
python-docs
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
☆ 1查看技能
GitHub
code-review
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.
☆ 1查看技能
GitHub
python-basics
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.
☆ 1查看技能
GitHub
testing
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...
☆ 1查看技能
GitHub
github-operations
Expert in GitHub workflows including issue management, PR operations, and branch conventions. Use when working with GitHub via MCP.
☆ 1查看技能
GitHub
commit-messages
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.
☆ 1查看技能
GitHub
issue-writing
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...
☆ 1查看技能
GitHub
pr-writing
Expert in creating well-structured pull requests with clear summaries. Use when writing or structuring PRs.
☆ 1查看技能
GitHub
doc-audit
Expert in auditing Sphinx/RST documentation for Drift project. Use when validating code examples and removing subjective language before release.
☆ 1查看技能
GitHub
linting
Expert in maintaining code quality standards using flake8, black, isort, and mypy. Use when fixing linting errors or enforcing code style.
☆ 1查看技能
GitHub
release
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...
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GitHub
test-strategy
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...
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GitHub
theme-factory
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...
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GitHub
systematic-debugging
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...
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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。