Agent Skills: python
Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.
ID: lambdamechanic/scrapinghub-mcp/python
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The files that make up python.
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- exploratory-data-analysisPerform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.
- csharp-testingxUnit、FluentAssertions、モッキング、統合テスト、テスト組織のベストプラクティスを使用したC#と.NETのテストパターン。
- research-literature-search当用户需要检索候选论文、建立可审计文献池或为下游证据任务准备候选文献时使用。也适用于 research-literature-review 的检索依赖。
- brand-guidelinesApplies OpenAI's brand colors and typography to any artifact that should match the Codex/OpenAI look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
- verifier-webEvidence-capture protocol for verifying web/dashboard/backoffice/checkout changes in the Polar local stack by driving the real UI with Playwright. Auto-discovered by the built-in /verify skill; can also be invoked directly. Brings up the Docker stack, logs in via the real email-OTP flow, and exercises flows end-to-end (including a live Stripe checkout) capturing screenshots as evidence.
- markerConvert PDF documents to Markdown using marker_single. Use when Claude needs to extract text content from PDFs while preserving LaTeX formulas, equations, and document structure. Ideal for academic papers and technical documents containing mathematical notation.