ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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junit-integration
Maven integration testing with Failsafe plugin, IT naming conventions, and profile configuration
majiayu000/claude-skill-registry 163
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production-gate
프로덕션 배포 게이트 확인. Use when:
(1) 프로덕션 배포 가능 여부 확인, (2) 미완료 테스트 이슈 체크,
(3) 배포 준비 상태 리포트.
majiayu000/claude-skill-registry 163
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surveillance-honeypot
Iteration 14 of Multiplicity Cascade - Makes surveillance exponentially expensive
majiayu000/claude-skill-registry 163
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Profile Creator
Knowledge engineering pipeline that transforms messy human intent and repository analysis into living operational domain profiles
majiayu000/claude-skill-registry 163
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exa-prod-checklist
Execute Exa production deployment checklist and rollback procedures.
Use when deploying Exa integrations to production, preparing for launch,
or implementing go-live procedures.
Trigger with phrases like "exa production", "deploy exa",
"exa go-live", "exa launch checklist".
majiayu000/claude-skill-registry 163
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microbiome-cancer-agent
majiayu000/claude-skill-registry 163
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leap-year-analyzer
Analyze leap year calculations, calendar systems, and date validation logic. Use this when the user asks about leap year rules, calendar types (Gregorian, Julian, Hebrew, Chinese), year range validation (1582-9999), mathematical formulas, or needs to understand the core leap year detection algorithms.
majiayu000/claude-skill-registry 163
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analyzing-branch-status
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
majiayu000/claude-skill-registry 163
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phase-template
Standard template for phase files with token estimation and tracking. Reference when creating or updating phase files.
majiayu000/claude-skill-registry 163
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multi-repo-dev
ghq・gwq・tmuxを使った複数リポジトリでの並行開発セットアップ。「複数リポジトリで同時に開発」「マイクロサービス開発」時に使用
majiayu000/claude-skill-registry 163
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conducting-chaos-engineering
This skill enables Claude to design and execute chaos engineering experiments to test system resilience. It is used when the user requests help with failure injection, latency simulation, resource exhaustion testing, or resilience validation. The skill is triggered by discussions of chaos experiments (GameDays), failure injection strategies, resilience testing, and validation of recovery mechanisms like circuit breakers and retry logic. It leverages tools like Chaos Mesh, Gremlin, Toxiproxy, and AWS FIS to simulate real-world failures and assess system behavior.
majiayu000/claude-skill-registry 163
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managing-autonomous-development
Enables Claude to manage Sugar's autonomous development workflows. It allows Claude to create tasks, view the status of the system, review pending tasks, and start autonomous execution mode. Use this skill when the user asks to create a new development task using `/sugar-task`, check the system status with `/sugar-status`, review pending tasks via `/sugar-review`, or initiate autonomous development using `/sugar-run`. It provides a comprehensive interface for interacting with the Sugar autonomous development system.
majiayu000/claude-skill-registry 163
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nomos-test-execution
Orchestrates test execution for the Nomos monorepo following TESTING_GUIDE.md standards. Use this when running tests, debugging test failures, validating coverage, or executing verification checklists from AGENTS.md files.
majiayu000/claude-skill-registry 163
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delivery.test_plan
Generate a detailed test plan covering scenarios, environments, data, and reporting for the release.
majiayu000/claude-skill-registry 163
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background-process-clear-process
To remove a finished background process from the manager list, clear a stopped process after it exits so it no longer appears in listings.
majiayu000/claude-skill-registry 163
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emacs-variables
Use when inspecting or modifying Emacs variables - provides elisp patterns for variable handling, customization, and state management
majiayu000/claude-skill-registry 163
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bknd-storage-config
Use when configuring storage backends for file uploads. Covers S3-compatible storage (AWS S3, Cloudflare R2, DigitalOcean Spaces), Cloudinary media storage, local filesystem adapter for development, adapter configuration options, environment variables, and production storage setup.
majiayu000/claude-skill-registry 163
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swiftui-ssot
Single Source of Truth (SSOT) guidelines for SwiftUI state management. Use when designing state architecture, choosing between @State/@Binding/@StateObject/@ObservedObject/@EnvironmentObject, fixing state synchronization issues, refactoring duplicated state, or reviewing state management in PRs. Covers SSOT principles, property wrapper selection, state lifting, and common violations.
majiayu000/claude-skill-registry 163
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model-pruning-helper
Model Pruning Helper - Auto-activating skill for ML Deployment.
Triggers on: model pruning helper, model pruning helper
Part of the ML Deployment skill category.
majiayu000/claude-skill-registry 163
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project-management
项目管理和产品需求分析。当用户需要制定项目计划、编写 PRD 文档、管理任务或进行需求分析时使用此技能。
majiayu000/claude-skill-registry 163
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flow-interview
Interview user in-depth about a spec, bead, or feature idea to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, discuss technical details, clarify a feature before building, or asks to be interviewed about their idea. Triggers on "interview me", "ask me questions about", "flesh out this spec", "refine requirements", "help me think through".
majiayu000/claude-skill-registry 163
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changelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
majiayu000/claude-skill-registry 163
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
majiayu000/claude-skill-registry 163
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data-ml
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.
majiayu000/claude-skill-registry 163