tomevault-io/skills-registry - Page 183

python

Python development with type hints, async patterns, testing, and modern best practices Use when this capability is needed.

Langue du texte source : anglais

rag-systems

Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmented applications. Use when this capability is needed.

Langue du texte source : anglais

rails

Enterprise Ruby on Rails development with Active Record, API mode, testing, and production patterns Use when this capability is needed.

Langue du texte source : anglais

building-react-apps

Builds production React applications with hooks, TypeScript, state management, and performance optimization. Use when creating React SPAs, component systems, or interactive UIs.

Langue du texte source : anglais

real-time-systems

WebSocket, Server-Sent Events, and real-time communication patterns for live features Use when this capability is needed.

Langue du texte source : anglais

receiving-code-reviews

AI agent handles code review feedback professionally by categorizing, responding appropriately, and extracting learnings. Use when PR feedback arrives, addressing reviewer comments, or improving from feedback. Use when this capability is needed.

Langue du texte source : anglais

developing-with-redis

Use when working with the agent implements Redis caching, data structures, and real-time messaging patterns. Use when implementing caching layers, session storage, rate limiting, pub/sub messaging, or distributed data structures.

Langue du texte source : anglais

requesting-code-reviews

AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review. Use when this capability is needed.

Langue du texte source : anglais

research-validation

Multi-source validation framework for technology decisions, best practices verification, and evidence-based implementation Use when this capability is needed.

Langue du texte source : anglais

building-responsive-layouts

Claude builds responsive web layouts with mobile-first CSS, fluid typography, and container queries. Use when creating adaptive UIs that work across all device sizes. Use when this capability is needed.

Langue du texte source : anglais

robust-ai

Building robust AI systems including model monitoring, drift detection, reliability engineering, and failure handling for production ML. Use when this capability is needed.

Langue du texte source : anglais

tracing-root-causes

AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents. Use when this capability is needed.

Langue du texte source : anglais

thinking-sequentially

AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions. Use when this capability is needed.

Langue du texte source : anglais

service-discovery

Service discovery patterns with Consul, Kubernetes DNS, Eureka, health checks, and client-side load balancing. Use when this capability is needed.

Langue du texte source : anglais

building-with-shadcn

Claude builds accessible React UIs using shadcn/ui components with Radix primitives and React Hook Form integration. Use when creating forms, dialogs, or composable UI systems. Use when this capability is needed.

Langue du texte source : anglais

spring

Enterprise Spring Boot development with JPA, security, testing, and microservices patterns Use when this capability is needed.

Langue du texte source : anglais

stacked-diffs-workflow

Use when working with the agent implements stacked diffs (stacked PRs) for breaking large changes into reviewable chunks. Use when working on complex features, managing dependent changes, or optimizing code review flow.

Langue du texte source : anglais

debugging-systematically

AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors. Use when this capability is needed.

Langue du texte source : anglais

styling-with-tailwind

Claude styles UIs with Tailwind CSS utility classes, responsive design, and dark mode support. Use when creating component styles, theming systems, or responsive layouts. Use when this capability is needed.

Langue du texte source : anglais

developing-test-driven

AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices. Use when this capability is needed.

Langue du texte source : anglais

test-enforcement

Use when working with the agent enforces mandatory test completion before any task or feature can be marked as done, ensuring code quality through strict validation gates and evidence-based completion criteria.

Langue du texte source : anglais

test-task-generation

Use when working with the agent automatically generates comprehensive test tasks from feature requirements, ensuring every implementation task has corresponding test coverage with proper acceptance criteria.

Langue du texte source : anglais

avoiding-testing-anti-patterns

AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality. Use when this capability is needed.

Langue du texte source : anglais

building-3d-graphics

Claude builds immersive 3D web experiences with Three.js and React Three Fiber. Use when creating WebGL scenes, 3D animations, shaders, or physics simulations. Use when this capability is needed.

Langue du texte source : anglais

optimizing-tokens

AI agent maximizes efficiency and minimizes costs through strategic token usage while maintaining output quality. Use when managing AI interactions, designing prompts, or reducing costs. Use when this capability is needed.

Langue du texte source : anglais

training-data

Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices. Use when this capability is needed.

Langue du texte source : anglais

typescript

TypeScript development with advanced type safety, generics, utility types, and best practices Use when this capability is needed.

Langue du texte source : anglais

user-feedback

Collecting and using user feedback - explicit/implicit signals, feedback analysis, improvement loops, A/B testing. Use when improving AI systems, understanding user satisfaction, or iterating on quality. Use when this capability is needed.

Langue du texte source : anglais

verifying-before-completion

AI agent validates work through evidence-based verification with comprehensive checklists, automated validation, and proof-of-work documentation. Use when completing tasks, preparing for review, or ensuring quality. Use when this capability is needed.

Langue du texte source : anglais

testing-with-vitest

Claude writes fast, reliable tests using Vitest for TypeScript/JavaScript projects. Use when writing unit tests, component tests, setting up mocks, snapshot testing, or configuring test coverage. Use when this capability is needed.

Langue du texte source : anglais

building-vue-apps

Builds production Vue 3 applications with Composition API, TypeScript, Pinia, and Vue Router. Use when creating Vue.js SPAs, component libraries, or reactive web interfaces.

Langue du texte source : anglais

workflow-config-system

Use when working with the agent implements a centralized workflow configuration system for Git workflows, enabling set-once-use-everywhere automation for trunk-based development, gitflow, and github-flow patterns with integrated testing automation.

Langue du texte source : anglais

writing-plans

AI agent creates structured implementation plans with task breakdown, dependency mapping, risk assessment, and file-level detail. Use when planning features, projects, or complex implementations. Use when this capability is needed.

Langue du texte source : anglais

auto-build

プロジェクトタイプを自動検出してビルドを実行するスキル。コード変更後にビルドを提案、エラー発生時は修正案を提示。Node.js、Rust、Python、Go、Makefileプロジェクトに対応。 Use when this capability is needed.

Langue du texte source : japonais

checkpoint-manager

Skill for tracking and managing task progress. Checks pending tasks at conversation start, proposes task creation for new requests, suggests completion reports when work is done. Integrates with checkpoint system. Use when this capability is needed.

Langue du texte source : anglais

add-logging

Triggered when user asks to add structured logging, set up error tracking, implement monitoring, or configure observability. Automatically delegates to the logging-specialist agent. Use when this capability is needed.

Langue du texte source : anglais

add-validation

Triggered when user asks to implement data validation, create validation schemas, add input validation, or ensure type-safe validation. Automatically delegates to the validation-specialist agent. Use when this capability is needed.

Langue du texte source : anglais

architect-system

Triggered when user asks to design architecture, plan system structure, or make architectural decisions. Automatically delegates to the architect agent. Use when this capability is needed.

Langue du texte source : anglais

audit-quality

Triggered when user asks to audit code quality, assess maintainability, or review overall code quality. Automatically delegates to the quality-auditor agent. Use when this capability is needed.

Langue du texte source : anglais

design-api

Triggered when user asks to design APIs, create API specifications, or plan API endpoints. Automatically delegates to the api-designer agent. Use when this capability is needed.

Langue du texte source : anglais