4,752 件 ・ 関連度順
概要と使いどころ
Operately frontend data fetching with TanStack Query. Use when adding or changing page loaders, model hooks, Api.* calls, mutations, useLoadedData, Pages.useRefresh, or any web UI backend request. New code must use TanStack. When fixing or extending an existing surface, migrate that surface's API calls to TanStack in the same change.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain Operately translations when adding or changing user-visible copy, fixing missing translations, or adding a supported language. Covers shared Gettext/i18next catalogs, glossaries, generation, and completeness checks; excludes translating user-authored content or general prose outside the product.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, derive, optimize, and diagnose structured AI image prompts for luminous cinematic Eastern xianxia environments under one inherited master canon with measurable divine scale, fixed five-layer space, 40–60% content-bearing breathing air, monumental Eastern architecture, railing-free edges, and coherent immortals and costume. Cover one-location scenic landmarks, immense inhabited celestial realms, cloud-borne palace cities, high-key Eastern sky-megastructure imagery, and the explicit `仙界大境原典` creative route. Use for Chinese fantasy scenery, places where immortals live, heavenly capitals, colossal celestial gates, architectural fragments above cloud seas, measurable divine scale, unusual framing, color and lighting direction, style-preserving variants, prompt rewrites, diagnosis, or direct image generation. Support 16:9, 21:9, 4:3, 3:2, 4:5, and 9:16; default to 16:9 for one prompt and never infer a nine-image series from a vertical ratio.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize React rendering, bundle size, and data flow with profiler-led decisions. Use when reducing re-renders, fixing waterfalls, or deciding whether memoization is warranted in React.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize React Native rendering for smooth 60fps mobile experiences. Use when optimizing React Native app performance, reducing re-renders, or fixing frame drops.
日本語の概要は準備中です。原文の説明を表示しています。
Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.
日本語の概要は準備中です。原文の説明を表示しています。
Build async React Server Components and place 'use client' boundaries at leaf nodes for interactivity in Next.js App Router. Use when deciding RSC vs Client Component, composing server data into client wrappers, or fixing hydration errors.
日本語の概要は準備中です。原文の説明を表示しています。
Core Python 3.11+ language standards for typing, dataclasses, imports, pathlib, and stdlib-first code. Use for idiomatic language constructs in Python modules or stubs; defer pytest fixtures, database/client configuration, subprocess security, and other specialized concerns.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Playwright page objects from an executable test plan, one class per screen with ladder-compliant locators and no assertions, wired into a shared fixture. Use when a web scenario needs a page object that does not exist yet, or when locators drift and the page object must be rebuilt.
日本語の概要は準備中です。原文の説明を表示しています。
Write or review manual Zephyr test cases with 1-condition-per-TC granularity, Module_Action on Screen when Condition naming, platform prefix rules, and High/Normal/Low priority classification. Use for test-case authoring and review; defer Jira traceability, linking, and pushing cases to Zephyr.
日本語の概要は準備中です。原文の説明を表示しています。
Apply best practices for managing URL, server, and client state in Next.js applications. Use when choosing between URL params, SWR/TanStack Query, Zustand, or Context for state, or when fixing hydration mismatches from localStorage.
日本語の概要は準備中です。原文の説明を表示しています。
Configure Redis session drivers, register security-header middleware, and prevent session fixation in Laravel. Use when switching session drivers, adding HSTS/CSP headers via middleware, or regenerating sessions after login.
日本語の概要は準備中です。原文の説明を表示しています。
Append a learning entry to AGENTS_LEARNING.md when an AI agent makes a mistake. Auto-activates after a pre-write audit auto-fix, a retrospective correction loop, or a mid-session user correction. Use when: mistake, wrong, correction, my bad, agent error, learning log.
日本語の概要は準備中です。原文の説明を表示しています。
Enforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.
日本語の概要は準備中です。原文の説明を表示しています。
Standardizes visual audits, responsive design, and behavioral testing for web apps. Use to verify a web UI fix or cross-browser behavior; defer backend API refactors, Playwright installation/tooling setup, and Appium/mobile automation.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.
日本語の概要は準備中です。原文の説明を表示しています。
Guides quality-first TDD for new behavior, bug fixes, and test changes. Selects the smallest test layer, proves a distinct regression risk, and runs bounded RED-GREEN-REFACTOR verification.
日本語の概要は準備中です。原文の説明を表示しています。
Drive Google Stitch over MCP safely - read screens, write and lint DESIGN.md, create design systems, and fix designs through variants instead of overwriting. Use when reviewing, editing, or generating Stitch screens or DESIGN.md files.
日本語の概要は準備中です。原文の説明を表示しています。
Validates defensive controls with paired authorized action and observation evidence, distinguishing blocked, prevented, detected, responded, and telemetry-gap outcomes. Use for purple-team validation design or offline fixture review; not unsanctioned testing or production efficacy claims.
日本語の概要は準備中です。原文の説明を表示しています。
Scores a coding task on Spread, Novelty, and Centrality (SNC 0-6) and maps the tier to autonomy, verification depth, review mode, reviewers, model tier. Use when sizing a fix or feature before planning, choosing fast vs deep review, or deciding whether HARD STOP approval is required.
日本語の概要は準備中です。原文の説明を表示しています。
Define a repository review policy fixing what each review pass checks, how severities rank, which paths are skipped, the nit cap, and who approves. Use when review findings feel inconsistent or noisy, or when tuning an automated reviewer.
日本語の概要は準備中です。原文の説明を表示しています。
Define deterministic guardrails for agent tool calls — protected paths, test-file locks during bug fixes, post-edit formatters, production approval gates, secret deny rules. Use when writing or reviewing a hook policy, or moving an always-do-X rule out of prose into enforcement.
日本語の概要は準備中です。原文の説明を表示しています。
Enforce WCAG 2.2 AA compliance with semantic HTML, ARIA roles, keyboard navigation, and color contrast standards for web UIs. Use when building interactive components, adding form labels, fixing focus traps, or auditing a11y compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Draws architecture diagrams as editable draw.io files with a fixed house style, C4 levels, evidence-tagged shapes, and optional multi-view identity checks. Use when producing a system context, container, component, deployment, data flow, sequence, state, or ERD, or redrawing an ASCII or Mermaid one.
日本語の概要は準備中です。原文の説明を表示しています。