3,112 件 ・ 関連度順
概要と使いどころ
Turn raw budget-versus-actual data into plain-language explanations for non-finance managers. Focus on why numbers moved, what it means for the team, and what action to take — without requiring accounting knowledge. Use when managers need to understand their cost center performance. Do not use for technical accounting analysis, tax preparation, or external audit deliverables.
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。
Read and interpret financial statements — Income Statement, Balance Sheet, and Cash Flow Statement. Calculate key ratios, identify trends, and produce an analysis narrative. Use when reviewing company performance, preparing for investor meetings, or conducting due diligence. Do not use for preparing or auditing financial statements — this is an analysis tool only.
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。
Go software engineering skill for designing, implementing, debugging, testing, reviewing, and refactoring Go applications, CLIs, APIs, services, concurrency code, modules, and tooling. Use for .go files, go.mod/go.sum, goroutines/channels, interfaces, error handling, performance profiling, race fixes, and idiomatic Go architecture.
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。
Assembly programming and low-level debugging skill for reading, writing, explaining, optimizing, and reviewing assembly across x86, x86-64, ARM, AArch64, RISC-V, calling conventions, ABI boundaries, inline assembly, disassembly, stack frames, registers, and binary-level behavior. Use for .s/.asm files, compiler output, reverse-engineering snippets, low-level performance, and crash analysis.
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。
Python engineering skill for implementing, debugging, testing, packaging, typing, reviewing, and refactoring Python applications, scripts, APIs, automation, data processing, CLIs, and libraries. Use for .py files, pyproject.toml, requirements files, pytest, async Python, type hints, packaging, dependency management, and Python performance or reliability work.
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。
Use when building 2D games in Python with pygame - game loop and delta time, sprites and groups, collision detection, drawing and surfaces, events and input, sound and fonts, camera, or performance 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。
Section-by-section media planning and generation. Image generation (GPT Image 2 primary, built-in fallback), logo/icon generation (Ideogram v3 → favicon set), video generation (Veo 3.1), social preview images (OG 1200x630 + AI search optimization), stock photo curation (Pexels, Pixabay), critique/remix loops (max 3 rounds), asset compression pipeline, and media performance budgets.
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。
Speed, accessibility, and testing bars every delivered app must clear — Core Web Vitals, WCAG 2.2 AA, TDD real-browser E2E, and the build-fail gates.
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。
5-level verification pyramid: static→unit→Playwright E2E (homepage-first, 6bp)→AI visual→post-deploy. 8-check quality gate. Multi-agent testing (functional/security/a11y/performance). Playwright v1.56+ AI agents (Planner/Generator/Healer, v1.63 current). WCAG 2.2 AA via axe-core v4.13. Percy+Chromatic visual regression. ADA Title II 2027/2028 deadlines.
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。
Full instrumentation from day one. PostHog consolidates product analytics + feature flags + error tracking (one platform, one bill). GA4 via GTM (14-step automation, custom dimensions over events, server-side tagging). Sentry (deep error tracking + performance). Stripe (webhook-first with idempotent processing). Listmonk on Coolify (newsletters via Amazon SES SMTP relay). PLG 7-layer framework. Programmatic SEO (5 page types). Incident auto-remediation via Sentry→Inngest pipeline. AI search (GEO) awareness. Local business conversions (phone_click, direction_click, form_submit, booking_click) with CRO patterns for both SaaS and local.
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。
React Three Fiber (R3F) 3D rendering — Canvas, meshes, materials, lights, cameras, animations, events, physics, post-processing, performance
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。
React Hook Form patterns - useForm, Controller, useFieldArray, validation resolver, performance 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。
Biome v2 unified linter, formatter, and import organizer — single Rust-powered tool replacing ESLint + Prettier with 97% Prettier compatibility and 20x faster performance
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 component review patterns. Use when reviewing React components, hooks, props, state, styling, and accessibility. Covers rules of hooks, effect cleanup, render performance, list keys, keyboard and ARIA 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。
MMKV high-performance key-value storage for React Native - synchronous JSI-based reads/writes, encryption, typed hooks, multiple instances, listeners, persistence middleware adapters
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。
Pino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, performance monitoring, alerting
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。
Perform a direct five-axis code review across correctness, security, performance, readability, and maintainability. Use when the user asks for `/review`, PR review, security review, pre-merge review, production readiness review, or blocking issue 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。
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
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。
This skill provides guidance for using Chrome DevTools MCP for browser debugging and automation. Use when debugging web pages, analyzing performance, inspecting network requests, viewing console messages, or interacting with Chrome DevTools features programmatically.
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。
This skill provides unified expert-level guidance for terminal implementation in VS Code extensions. Covers xterm.js API and addons, VS Code terminal architecture, PTY integration, session persistence, input handling (keyboard/IME/mouse), shell integration with OSC sequences, and performance optimization. Use when implementing any terminal-related features.
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。
This skill provides expert-level guidance for refactoring VS Code extension code. Use when extracting classes or functions, reducing code duplication, improving type safety, reorganizing module structure, applying design patterns, or optimizing performance. Covers systematic refactoring workflows, code smell detection, safe transformation techniques, and VS Code-specific 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。
This skill provides expert-level guidance for VS Code extension development. Use when implementing new extension features, debugging extension code, designing WebView UIs, implementing Language Server Protocol features, or optimizing extension performance. Covers activation events, contribution points, VS Code API patterns, security best practices, testing strategies, and publishing workflows.
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。
This skill provides expert-level guidance for implementing VS Code WebView features. Use when creating WebView panels, implementing secure CSP policies, handling Extension-WebView communication, managing WebView state persistence, optimizing WebView performance, or debugging WebView rendering issues. Covers security best practices, message protocols, and VS Code-specific WebView 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。
Run email marketing end-to-end — list building, campaigns, automation flows, deliverability, and performance 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。