Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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web-search-patterns
Best practices and patterns for effective web searching
majiayu000/claude-skill-registry 163
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worktree-workflow
Git worktree を使用したホスト環境での並行開発ワークフロー。プラットフォーム固有コード（macOS API等）の開発時に使用。
majiayu000/claude-skill-registry 163
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landing-page-creator
Create high-converting landing pages with optimized copy, structure, and design elements. Generates complete pages for lead generation, product launches, event registration, and sales campaigns with conversion-focused layouts.
majiayu000/claude-skill-registry 163
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typescript-types
Define TypeScript types, interfaces, and type utilities. Use when creating type definitions, DTOs, API response types, or component props.
majiayu000/claude-skill-registry 163
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hooks-builder
Create event-driven hooks for Claude Code automation. Use when the user wants to create hooks, automate tool validation, add pre/post processing, enforce security policies, or configure settings.json hooks. Triggers: create hook, build hook, PreToolUse, PostToolUse, event automation, tool validation, security hook
majiayu000/claude-skill-registry 163
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model-serving
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.
majiayu000/claude-skill-registry 163
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pydicom
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 medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
majiayu000/claude-skill-registry 163
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k8s
Kubernetes ops skill for deploying, operating, and troubleshooting services on Kubernetes. Use for tasks like writing manifests/Helm, configuring deployments/services/ingress, autoscaling, observability, RBAC, secrets/configmaps, rollout/rollback, incident debugging, and production readiness checks.
majiayu000/claude-skill-registry 163
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gdpr-dsgvo-expert
Senior GDPR/DSGVO expert and internal/external auditor for data protection compliance. Provides EU GDPR and German DSGVO expertise, privacy impact assessments, data protection auditing, and compliance verification. Use for GDPR compliance assessments, privacy audits, data protection planning, and regulatory compliance verification.
majiayu000/claude-skill-registry 163
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bdd-scenario-builder
Behavior-Driven Development (BDD) で振る舞いを定義・シナリオ化するためのガイド。Given-When-Then と Gherkin で受け入れ条件やエッジケースを整理し、失敗パターンや小さく始める導入ステップを含めて、業務言語で明確なシナリオを書くときに使う。
majiayu000/claude-skill-registry 163
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helm-chart-scaffolding
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
majiayu000/claude-skill-registry 163
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microsoft-code-reference
Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
majiayu000/claude-skill-registry 163
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dataform-engineering-fundamentals
Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure
majiayu000/claude-skill-registry 163
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ranking
Ranks and scores retrieved documents based on similarity metrics from vector search. Use when sorting documents by relevance, prioritizing results, or when the user mentions ranking, scoring, or ordering documents.
majiayu000/claude-skill-registry 163
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laravel-query-builders
Custom query builders for type-safe, composable database queries. Use when working with database queries, query scoping, or when user mentions query builders, custom query builder, query objects, query scopes, database queries.
majiayu000/claude-skill-registry 163
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voting-status
Create and post ASCII art voting status diagrams to GitHub issues and Discord. Use when asked to update voting, show voting results, or announce voting status.
majiayu000/claude-skill-registry 163
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interview
Interview me about a plan to generate a detailed spec.
majiayu000/claude-skill-registry 163
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coverage-strategist
Defines ROI-based coverage targets with critical path identification, layer-specific targets, and explicit "don't test this" guidelines. Use for "test coverage", "coverage strategy", "test priorities", or "coverage targets".
majiayu000/claude-skill-registry 163
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nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
majiayu000/claude-skill-registry 163
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langevin-dynamics
Layer 5: SDE-Based Learning Analysis via Langevin Dynamics
majiayu000/claude-skill-registry 163
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Bun Hono Integration
Use when building APIs with Hono framework on Bun, including routing, middleware, REST APIs, context handling, or web framework features.
majiayu000/claude-skill-registry 163
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axiom-app-composition
Use when structuring app entry points, managing authentication flows, switching root views, handling scene lifecycle, or asking 'how do I structure my @main', 'where does auth state live', 'how do I prevent screen flicker on launch', 'when should I modularize' - app-level composition patterns for iOS 26+
majiayu000/claude-skill-registry 163
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shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
majiayu000/claude-skill-registry 163
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playwright-e2e-patterns
TypeScript/Playwright Test + Generator/Healer Agents活用によるE2Eテスト作成パターンガイド。E2Eテスト実装時・data-testid属性設計時・Blazor Server SignalR対応時に使用。Phase B2で確立した93.3%効率化パターン + Phase B2-F2でTypeScript移行完了。
majiayu000/claude-skill-registry 163