Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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error-detective
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
majiayu000/claude-skill-registry 163
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vercel-local-dev-loop
Configure Vercel local development with hot reload and testing.
Use when setting up a development environment, configuring test workflows,
or establishing a fast iteration cycle with Vercel.
Trigger with phrases like "vercel dev setup", "vercel local development",
"vercel dev environment", "develop with vercel".
majiayu000/claude-skill-registry 163
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unity-r3
R3 (Reactive Extensions) library expert specializing in modern reactive programming patterns, event-driven architectures, and Observable streams. Masters R3-specific features, async enumerable integration, and Unity-optimized reactive patterns. Use PROACTIVELY for R3 implementation, reactive programming, or MVVM/MVP architecture.
majiayu000/claude-skill-registry 163
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algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
majiayu000/claude-skill-registry 163
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observability-monitor
Comprehensive observability and monitoring workflow that orchestrates metrics collection, logging, distributed tracing, and alerting systems. Handles everything from monitoring architecture design and implementation to APM integration, anomaly detection, and incident response automation.
majiayu000/claude-skill-registry 163
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unsafe-checker
Use when reviewing unsafe code or writing FFI. Keywords: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, PhantomData, Send, Sync, SAFETY comment, soundness, undefined behavior, UB, how to call C functions, safe wrapper for unsafe code, when is unsafe necessary, memory layout, bindgen, cbindgen, CString, CStr, invariant, 安全抽象, 裸指针, 外部函数接口, 内存布局, 不安全代码, FFI 绑定, 未定义行为
majiayu000/claude-skill-registry 163
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restart-test-containers
Restarts WitchCityRope Docker TEST containers using the CORRECT procedure. Handles shutdown, rebuild with test compose overlay (--no-cache by default), health checks, and verification. Ensures environment is ready for testing. SINGLE SOURCE OF TRUTH for test container restart process. Uses -p witchcityrope-test for isolation from dev containers.
majiayu000/claude-skill-registry 163
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re11-calibration-loops
Apply RE11 Calibration Loops to repeatedly check predictions against outcomes to improve forecasting accuracy.
majiayu000/claude-skill-registry 163
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verifying-work
Use this skill when validating built features through conversational testing, running UAT, user acceptance testing, checking if features work, or verifying implementation. Triggers include "verify work", "test features", "UAT", "user testing", "check if it works", and "validate features".
majiayu000/claude-skill-registry 163
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asyncredux-error-handling
Implement comprehensive error handling for actions. Covers the `wrapError()` method for action-level error wrapping, GlobalWrapError for app-wide error transformation, ErrorObserver for logging/monitoring, and the error handling flow (before → reduce → after).
majiayu000/claude-skill-registry 163
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extracting-hecras-results
Extract HEC-RAS hydraulic results from HDF files including water surface elevations (WSE),
depths, velocities, and flows for both steady and unsteady simulations. Handles cross section
time series, 2D mesh results, maximum envelopes, and dam breach results. Use when you need to
extract, analyze, or post-process HEC-RAS simulation outputs, retrieve water levels, query
velocity fields, get depth grids, extract flow data, analyze breach hydrographs, or pull
hydraulic variables from .hdf result files.
majiayu000/claude-skill-registry 163
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whatsapp-processing
Handles WhatsApp message processing, response drafting, and conversation management. Use when working with WhatsApp messages, drafting responses, or managing WhatsApp communication workflows.
majiayu000/claude-skill-registry 163
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education-framework
6つの教育要素（目的/問題/解決/価値/信用/行動）に基づくコンテンツ設計。
Use when: (1) user says「教育シナリオ」「ステップメール設計」「ローンチシナリオ」,
(2) user wants structured educational content,
(3) user mentions「6つの教育」「14日間シナリオ」.
Do NOT use for: 単発のセールスコピー（taiyo-styleを使用）、
技術ドキュメント。
majiayu000/claude-skill-registry 163
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promote
majiayu000/claude-skill-registry 163
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react-core
Comprehensive React application development guidance covering project architecture, state management, performance optimization, security, and modern best practices including React 19 features. Use when (1) Working in React codebases (.jsx/.tsx files), (2) Architecting React applications (project structure, state management strategies), (3) Optimizing React performance (code splitting, memoization, virtualization), (4) Implementing security best practices (auth, XSS prevention, CSRF protection), (5) Applying React 19 features (Server Components, Actions, new hooks), (6) Setting up build configurations and tooling. Automatically triggered when working with React projects or addressing React-specific architecture, performance, or security concerns.
majiayu000/claude-skill-registry 163
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behavioral-product-design
Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.
majiayu000/claude-skill-registry 163
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competitive-intel
Use when researching, documenting, and sharing competitor insights with GTM teams.
majiayu000/claude-skill-registry 163
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refactor-moderator
Synthesizes analyst findings with critic feedback. Produces final recommendations and generates TDD-compatible refactor plans for approved issues.
majiayu000/claude-skill-registry 163
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data-layer
This skill provides patterns for working with the data-layer module. Use when creating/editing files in src/data-layer/, src/lib/data/, or adding new data sources.
majiayu000/claude-skill-registry 163
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workflow-analyzer
作業フローや手順を分析し、自動化可能な要素を特定する。ワークフロー分析時、自動化検討時、業務プロセス改善時、またはユーザーが作業フロー分析、自動化要素、業務手順、プロセス最適化に言及した際に使用する。
majiayu000/claude-skill-registry 163
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get-available-resources
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
majiayu000/claude-skill-registry 163
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vscode-webview-expert
This skill provides expert-level guidance for implementing VS Code WebView features. Use when creating WebView panels, implementing secure CSP policies, handling Extension-WebView communication, managing WebView state persistence, optimizing WebView performance, or debugging WebView rendering issues. Covers security best practices, message protocols, and VS Code-specific WebView patterns.
majiayu000/claude-skill-registry 163
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health-wellness
Workplace health and wellness expertise for employee wellness programs, mental health initiatives, ergonomics and safety, healthcare benefits strategy, and health analytics. Use when designing wellness programs, improving workplace safety, or analyzing health metrics.
majiayu000/claude-skill-registry 163
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lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
majiayu000/claude-skill-registry 163