Internationalization patterns for Astro sites. Multi-language routing, content translation, locale switching, RTL support. Use for multi-market lead generation.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Internationalization patterns for Astro sites. Multi-language routing, content translation, locale switching, RTL support. Use for multi-market lead generation.
Builds content-focused websites with Astro using islands architecture, content collections, and multi-framework support. Use when creating static sites, blogs, documentation, marketing pages, or content-heavy applications with minimal JavaScript.
OWASP ASVS 5.0 requirements database for security audits. Provides chapter structure, control objectives, and verification requirements for all 17 ASVS domains.
Expert in asynchronous programming patterns across languages (Python asyncio, JavaScript/TypeScript promises, C# async/await, Rust futures). Use for concurrent programming, event loops, async patterns, error handling, backpressure, cancellation, and performance optimization in async systems.
Transform a Rails application to use Falcon web server with async job processing (async-job), async Action Cable, and Redis-compatible database (Valkey for production). Use when the user wants to add async/Falcon stack to a Rails project, migrate from Puma to Falcon, or set up async job processing with Redis for both development and production environments including Kamal deployment.
Explanations of common asynchronous patterns used in tursodb. Involves IOResult, state machines, re-entrancy pitfalls, CompletionGroup. Always use these patterns in `core` when doing anything IO
Run background agents and bash commands asynchronously for CircleTel development. Use when running dev servers, parallel tests, long builds, or multi-agent research tasks without blocking the main workflow.
Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially FastAPI backends with database interactions.
Complete guide for asyncio concurrency patterns including event loops, coroutines, tasks, futures, async context managers, and performance optimization
Master asynchronous programming with asyncio, async/await, concurrent operations, and async frameworks
Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns
Checks an AsyncRedux (Flutter) action's completion status using ActionStatus right after the dispatch returns. Use only when you need to know whether an action completed, whether it failed with an error, what error it produced, or how to navigate based on success or failure.
Implement the Connector pattern for separating smart and dumb widgets. Covers creating StoreConnector widgets, implementing VmFactory and Vm classes, building view-models, and optimizing rebuilds with view-model equality.
Debug AsyncRedux applications effectively. Covers printing state with store.state, checking actionsInProgress(), using ConsoleActionObserver, StateObserver for state change tracking, and tracking dispatchCount/reduceCount.
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).
Create and cache selectors for efficient state access. Covers writing selector functions, caching with `cache1` and `cache2`, the reselect pattern, and avoiding repeated computations in widgets.
Access store state in widgets using `context.state`, `context.select()`, and `context.read()`. Covers when to use each method, setting up BuildContext extensions, and optimizing widget rebuilds with selective state access.
Handle user-facing errors with UserException. Covers throwing UserException from actions, setting up UserExceptionDialog, customizing error dialogs with `onShowUserExceptionDialog`, and using UserExceptionAction for non-interrupting error display.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
atdd
atdd-assistant
Coordinate Claude Code skills with OpenAI Codex autonomous workflows for end-to-end ATFT-GAT-FAN maintenance.
Enforce lint, formatting, typing, testing, and security hygiene across the ATFT-GAT-FAN codebase.
Manage J-Quants ingestion, feature graph generation, and cache hygiene for the ATFT-GAT-FAN dataset pipeline.
Run and monitor ATFT-GAT-FAN training loops, hyper-parameter sweeps, and safety modes on A100 GPUs.
Use this skill when working with Athena Framework for Crystal. Athena is a modular ecosystem of independent, reusable components including: Framework (ATH) for web apps, DependencyInjection (ADI) for IoC containers, Routing (ART) for HTTP routing, Serializer (ASR) for object serialization, Validator (AVD) for validation, Console (ACON) for CLI tools, EventDispatcher (AED) for event-driven architecture, and more. Use for building Crystal web applications, REST APIs, CLI tools, or integrating individual components.
PROACTIVELY USED when reviewing a PR, branch, or Jira story. Handles code review against requirements and provides actionable feedback.
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DevOps expertise for deployment, CI/CD, infrastructure, and automation
Adversarial quality gate agent for code review - finds flaws before users do
Product management expertise for story creation, backlog management, validation, and release coordination
Security audits, vulnerability analysis, and security best practices enforcement
Full 9-phase workflow for complex features, epics, and security-critical changes (2-4 hours)
Iterative 3-phase workflow with peer review cycle for changes needing validation (15-30 min)
Orchestrates Atlas workflow tier selection for software development tasks
Quick 2-phase workflow for trivial changes - typos, colors, config updates (5-15 min)
Standard 5-phase workflow for most development tasks - bugs, small features, refactors (30-60 min)
atlas14-spatial-variance
Atlassian API integration for Jira and Confluence automation. Activate for Atlassian REST APIs, webhooks, and platform integration.
Attach documents, screenshots, PDFs, and files to Jira issues and Confluence pages via REST API. Use when uploading evidence, documentation, or media to Atlassian products.
Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.
Search and retrieve information from Jira and Confluence using the atlassian-cli tool. Use this skill to find issues, search documentation, manage projects, and track sprints in Atlassian products.
Interact with Jira and Confluence via REST API - search, create, update issues and pages
Create atomic commits grouped by logical features with README.md and CLAUDE.md awareness.
Create atomic components (atoms) - the fundamental building blocks of your UI with proper TypeScript interfaces and Tailwind v4 styling.
The `SystemPromptGenerator` creates structured, effective system prompts for agents. It combines static instructions with dynamic context from providers.
Schemas are the foundation of Atomic Agents applications. They define the contracts between agents, tools, and external systems using Pydantic models.
Tools extend agent capabilities by providing access to external services, APIs, databases, and computations. They follow a consistent pattern with input/output schemas and error handling.
Knowledge about attempt tracking and gating patterns for task execution