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このリポジトリの skills
SkillsMP は stanfish06/skillquarium から 1,211 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
stanfish06/skillquarium収集済み skill 1,211 件中 11 件を表示しています。
Use when Codex is already in the validation phase of a security scan or the user explicitly asks to determine whether one or more candidate security findings are valid. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
原文の言語: 英語
Guides AI-assisted research across three sub-flows, Vibe Coding, Vibe Figure, and Vibe Writing, with behavioural rules that keep the user in charge of academic judgment while delegating mechanical work to AI. Recommends the right tool (Cursor, Claude Code,…
原文の言語: 英語
JavaScript/TypeScript unit testing with Vitest — fast Vite-native test runner with Jest-compatible API. Use when writing or running tests in a Vite-based project (React, Vue, Svelte, vanilla TS/JS), migrating from Jest, benchmarking code, testing browser APIs…
原文の言語: 英語
Write up vulnerabilities from disclosure documents, rough notes, supplied findings, PoCs, source code, or Codex Security scan output into polished, self-contained, source-backed reports. Use for one vulnerability or a disclosure campaign; a Codex Security…
原文の言語: 英語
Prepare and optimize browser-game 3D assets. Use when the user asks for GLB or glTF shipping work, including Blender cleanup and export, collision or LOD setup, compression, texture packaging, and runtime validation.
原文の言語: 英語
Set browser-game architecture before implementation. Use when the user needs engine choice, simulation and render boundaries, input model, asset organization, or save/debug/performance strategy.
原文の言語: 英語
Implements dbt Mesh governance features (model contracts, access modifiers, groups, versioning) and multi-project collaboration with cross-project refs. Use when implementing dbt Mesh governance, setting up cross-project refs with dependencies.yml,…
原文の言語: 英語
Labeled array, schema validation, and embedded SQL analytics workflows with xarray, pandera-validation, duckdb-docs, query, read-file, and polars. Use when combining NetCDF/Zarr multidimensional arrays, DataFrame schemas, Parquet/CSV/Arrow analytics, or…
原文の言語: 英語
N-dimensional labeled arrays and datasets in Python. Built on top of NumPy and Dask. It introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, making data analysis in physical sciences more intuitive and less…
原文の言語: 英語
Chunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
原文の言語: 英語
Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message",…
原文の言語: 英語