1万 件 ・ 関連度順
概要と使いどころ
Review comment, JSDoc, TODO, README, and docs-to-code factual consistency, stale or low-value comments, and Chinese comment/variable appropriateness; do not use for general code review, broad documentation rewrites, or auto-editing comments without approval.
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 native iOS apps with SwiftUI, UIKit, SnapKit, Apple HIG, accessibility, and platform UI patterns.
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。
Structure source-grounded consulting-style analysis for strategy, market, product, operations, or decision memos. Use for MECE problem framing, hypotheses, options, tradeoffs, executive recommendations, or "consulting analysis" requests; do not use for legal/financial advice, implementation, data computation, chart rendering, or unsourced business 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。
Configure or diagnose project context, rules files, context packs, or documented context degradation when explicitly requested; do not trigger automatically at session start, task switching, ordinary repository exploration, implementation, or completion.
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。
Coverage review and verification sufficiency routing. Use when test coverage, uncovered paths, coverage reports, or verification adequacy need a read-only QA review; do not use for writing tests or running browser/E2E artifacts.
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。
Analyze source data, tables, CSV/XLSX extracts, metrics, or experiment results with explicit data-authenticity checks. Use for profiling, cleaning assumptions, statistical summaries, segmentation, trend analysis, or "analyze this data"; do not use for spreadsheet file surgery, chart design only, database migrations, or claims without data provenance.
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。
Implement an accepted change in bounded dependency-ordered increments when the user requests implementation and the scope benefits from multiple coherent slices; do not trigger merely because work touches multiple files, changes behavior, or is over an arbitrary line count.
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。
Create or update source-grounded documentation when the user explicitly asks for docs/ADR/onboarding material, a public contract change requires docs, or an accepted hard-to-reverse decision meets the ADR gate; do not trigger for every feature, architecture discussion, implementation, review, or SHIP request.
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。
E2E artifact handling routing. Use when traces, videos, screenshots, reports, or failure bundles need controlled repository-local placement; do not use for simple unit tests or production-mutating E2E flows.
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。
Explain a complex concept through a short allegory, story, analogy, metaphor, or intuitive teaching example, then map it back to formal concepts and limits; do not use as the primary skill for implementation, specs, source-cited API guidance, or fiction-only writing.
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 Flutter/Dart cross-platform apps with widgets, state management, navigation, tests, and performance patterns.
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。
将已有中文论文正文、报告、邮件、说明或 PPT 文案改得自然、减少 AI 腔与模板感；用于明确的“说人话”、自然化改写或论文 AIGC 风险段落处理，不用于自动润色所有回答、从零代写论文、英文改写、概念教学、事实核查、检测分数保证或 PPTX 文件生成。
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。
Diagnose user-reported AILI/ROSE harness or workflow behavior problems without editing files; use when the user says a command, skill trigger, subagent packet, memory flow, installer, docs, or agent prompt behavior is wrong and wants to know where the issue lives and how to fix it. Do not use for normal product-code bugs; return any approved modification need to ROSE.
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。
Produce or apply an approved report-first proposal for workflow, ROSE, skill, command, subagent, memory, install, or harness-doc changes; use after harness-issue-triage localizes a harness problem or when the user explicitly requests harness maintenance, and do not edit core harness files without explicit human approval.
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。
Performs read-only GitHub issue or PR triage with evidence links. Use when analyzing public or repository GitHub issues/PRs without mutating labels, comments, branches, reviews, merges, or issue state.
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。
Refines raw ideas through structured divergent and convergent thinking for ordinary non-command brainstorming, idea shaping, options comparison, and explicit IDEATE deepening routed by `aili-delivery-flow`; do not use as the top-level `/ideate` command owner or for existing-plan stress-test, review, or completion-claim checks.
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。
Implements lightweight state management using Zustand with TypeScript, persistence, devtools, and modular store patterns. Use when users request "zustand store", "state management", "global state", "zustand setup", or "jotai alternative".
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。
Implements TanStack Query (React Query) for server state management with caching, mutations, optimistic updates, and infinite queries. Use when users request "react query", "tanstack query", "data fetching", "cache management", or "server state".
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。
Implements visual regression testing with screenshot comparison, diff detection, and CI integration using Playwright or Chromatic. Use when users request "visual testing", "screenshot testing", "UI regression", "visual diff", or "Chromatic setup".
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。
Creates reusable Terraform modules with proper structure, variables, outputs, and state management for infrastructure as code. Use when users request "Terraform setup", "infrastructure as code", "IaC module", "cloud provisioning", or "Terraform module".
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。
UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks.
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。
Creates comprehensive threat models using STRIDE methodology with asset identification, threat enumeration, mitigation strategies, and residual risk assessment. Use for "threat modeling", "security analysis", "STRIDE", or "risk assessment".
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。
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
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。
Optimizes Nginx configurations for performance, security, caching, and load balancing with modern best practices. Use when users request "Nginx setup", "reverse proxy", "load balancer", "web server config", or "Nginx optimization".
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。