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区块链 AI 技能

发现 区块链 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。

分类目录: 区块链

显示第 55,873–55,896 个,共 87,085 个

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GitHub

iron-condor

keith-mvs

Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want...

GitHub

bond-benchmarking

keith-mvs

Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, mea...

GitHub

financial-analysis

keith-mvs

Comprehensive financial statement analysis including ratio calculation, trend analysis, and peer comparison. Evaluates liquidity, profitability, efficiency, and leverage metrics. Requires numpy>=1.24.0, pandas>...

GitHub

bond-pricing

keith-mvs

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...

GitHub

long-call-butterfly

keith-mvs

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...

GitHub

bear-put-spread

keith-mvs

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...

GitHub

protective-collar

keith-mvs

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...

GitHub

bull-call-spread

keith-mvs

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...

GitHub

long-strangle

keith-mvs

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...

GitHub

python-docs

jarosser06

Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.

GitHub

code-review

jarosser06

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.

GitHub

python-basics

jarosser06

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.

GitHub

testing

jarosser06

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...

GitHub

github-operations

jarosser06

Expert in GitHub workflows including issue management, PR operations, and branch conventions. Use when working with GitHub via MCP.

GitHub

commit-messages

jarosser06

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.

GitHub

issue-writing

jarosser06

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...

GitHub

pr-writing

jarosser06

Expert in creating well-structured pull requests with clear summaries. Use when writing or structuring PRs.

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。

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