changeset-management
Instructions for managing releases using Changesets. Use this when the user wants to create a new release version or document changes.
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Instructions for managing releases using Changesets. Use this when the user wants to create a new release version or document changes.
Guidelines for adding functionality to the @monque/core package. Use this when implementing new features, fixing bugs, or refactoring code in the core package.
Instructions for updating the project documentation. Use this when the user asks to update docs, add examples, or fix typos in the documentation.
Guidelines for adding functionality to the @monque/core package. Use this when implementing new features, fixing bugs, or refactoring code in the core package.
Read, search, send, and draft Gmail emails and Google contacts. Use when the user asks to check email, find emails, search messages, send emails, create drafts, look up contacts, or find someone's email/phone....
Read and manage Linear issues, projects, and cycles. Use when the user asks to check Linear, view issues, find tasks, check sprint status, or manage work items. Helps inform daily standups and work planning.
Generate images using AI. Use when the user asks to create, generate, or make images, pictures, graphics, illustrations, visuals, or artwork. Also use for image editing with reference images.
Read, search, and send Slack messages. Use when the user asks to check Slack, send messages, read channels, find conversations, or look up users. Supports multiple workspaces.
Read, create, and manage Google Calendar events. Use when the user asks to check calendar, view schedule, find meetings, create events, or see what's on the agenda. Supports multiple accounts.
Generate music using AI. Use when the user asks to create, generate, or make music, songs, audio, melodies, tracks, or beats. Supports custom lyrics, instrumental-only, and style tags.
Cloudflare Workersのwranglerコマンドを管理する。D1データベース、R2ストレージ、シークレット、Workers開発・デプロイ時に使用。「D1」「R2」「デプロイ」「wrangler」「Cloudflare」などのキーワードで発動。
GitHubのIssueを管理する。Issue作成、一覧表示、クローズ、コメント時に使用。「Issueを作りたい」「バグ報告」「タスク登録」などのキーワードで発動。
GitHubのPR(プルリクエスト)を管理する。PR作成、一覧表示、マージ、レビュー、チェックアウト、コメント確認時に使用。「PRを作りたい」「マージして」「レビューして」「コメントを確認」などのキーワードで発動。
Git worktreeを使った並列開発を支援する。複数のClaude Codeインスタンスで同時に異なるブランチの作業を行う際に使用する。"worktree"、"並列開発"、"別ブランチで作業"などのキーワードで発動。
GitHub Actionsのワークフローを管理する。ワークフロー実行、一覧表示、ログ確認、再実行時に使用。「CI確認」「デプロイ実行」「ワークフロー」「Actions」などのキーワードで発動。
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, enviro...
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from...
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and...
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image proce...
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analy...
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CH...
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed train...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.