「aks」の検索結果

寿险业务分析工具。分析寿险市场、新单保费、代理人数量、新业务价值等。使用AkShare数据、保险公司财报。适用于寿险业务研究、增长分析。

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。

保险市场概览工具。获取中国保险行业整体数据，包括保费收入、赔付支出、行业资产规模、增速等。使用金融监管总局数据、AkShare保险行业数据。适用于保险行业研究、市场趋势分析。

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。

保险公司财务分析工具。分析上市保险公司的财务报表、偿付能力、盈利能力、业务结构。使用AkShare保险股数据、公司财报。适用于保险公司研究、投资决策。

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。

Audit existing changelog and deprecation practices — find missing entries, undocumented breaks, and stale deprecations. Use when asked to "audit our changelog", "find undocumented breaking changes", or "check for stale deprecations".

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。

Expert guide for converting UI screenshots, mockups, Figma frames, and whiteboard sketches into production-ready frontend code using vision-capable frontier models (Gemini 4 Pro, Claude 5.5, GPT Astra 6) — multi-pass visual extraction, component decomposition, responsive generation, and design token mapping / Panduan ahli konversi screenshot UI, mockup, frame Figma, dan sketsa whiteboard menjadi kode frontend siap produksi menggunakan model frontier berkemampuan vision — ekstraksi visual multi-pass, dekomposisi komponen, generasi responsif, dan pemetaan design token.

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。

Expert guide for Web Accessibility (WCAG a11y) and Internationalization (i18n) / Panduan ahli untuk Aksesibilitas Web dan Internasionalisasi.

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。

Expert guide for transactional email (Resend, Postmark, SES), React Email templates, in-app notifications, and unified communication pipelines / Panduan ahli untuk email transaksional (Resend, Postmark, SES), template React Email, notifikasi in-app, dan pipeline komunikasi terpadu.

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。

Expert guide for complex form handling with React Hook Form, server-side validation (useActionState + Zod), multi-step wizards, and accessible form patterns / Panduan ahli penanganan formulir kompleks dengan React Hook Form, validasi server-side, wizard multi-langkah, dan pola formulir aksesibel.

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。

Expert guide for multi-pass autonomous AI code self-review — syntax validation, logic correctness, architectural conformance, security audit, and performance analysis without external tooling — enabling the agent to catch its own errors before presenting code / Panduan ahli review kode otonom multi-pass oleh AI — validasi sintaks, kebenaran logika, konformitas arsitektur, audit keamanan, dan analisis performa tanpa tooling eksternal — memungkinkan agen menangkap errornya sendiri sebelum menampilkan kode.

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。

Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.

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。

Design and build websites with film-inspired visual systems, director-driven art direction, storyboard-first layout planning, and cinematic motion. Use when the user asks for a cinematic site, movie-style landing page, director-inspired UI, film-noir, sci-fi, romance, thriller, action, animation, or a movie-like website aesthetic, including requests phrased in Chinese. Do not use for generic web design unless the user explicitly wants a film or director reference.

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。

rem, px or relative units for each kind of value. Use when defining spacing and sizing tokens, control heights or media queries, or when a layout breaks under enlarged text.

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。

Vehicle/automotive image editing for cars, trucks, SUVs, motorcycles — car scenes, reflections, tires refinement with snow/mud/grass, segment windshield/wheels/body/windows/hubcaps, atmospheric effects (dust, fog, snow, light leaks, lens flare), and lighting harmonization (hot-day, cold-day, hot-night, cold-night presets). Powered by Bria.ai's dedicated automotive pipeline. Use this skill whenever the user mentions a car, vehicle, truck, SUV, motorcycle, auto photo, car reflections, tire enhancement, muddy tires, vehicle background, automotive marketing, car dealership visual, vehicle configurator, or car scene generation. ALWAYS prefer this skill over general image tools when the subject is a vehicle — faster and more accurate for automotive 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。

Use AddressSanitizer to detect memory safety bugs in C/C++ programs. Identifies use-after-free, buffer overflow, memory leaks, and other memory 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。

Use when writing Python scripts that must run on Windows, Linux, and macOS — especially when Rich or Typer output breaks on Windows, when dealing with Unicode/encoding errors, ANSI escape handling, terminal detection, path separators, or console color support. Provides verified cross-platform patterns covering stdout/stderr encoding guards, Windows console quirks, terminal capability detection, and portable I/O for CLI, TUI (Rich/Textual), and GUI environments.

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 tighten the description field of a skill or agent so the right one loads. Use when creating a skill or agent, when a description is vague, bloated, or missing triggers, when YAML multiline or quoting breaks the frontmatter, or when choosing between a model-invoked and a user-invoked skill.

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。

Reviews Node.js runtime behavior in JavaScript or TypeScript, including server entrypoints, route handlers, middleware, streams, processes, dependencies, and environment configuration. Loads alongside language and CLI checks when applicable; investigates blocking I/O, backpressure, injection, lifecycle leaks, and misleading failure signals.

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。

Reviews a whole deliverable (talk, course module, paper, chapter, or referee report) against its manifest without rewriting it. Runs a deterministic gate for build, citations, numbers, facts, and leaks and stops on failure, then runs a finder over each section and a strong-model pass over the whole work, and adjudicates into checks/<date>/findings.json and report.md with anchored findings, severities, and honest NOT CHECKED coverage within a dollar budget. Use when asked to lint or review the whole talk, module, or paper, for a pre-ship review, or for the night shift. Revision stays serial and author-led.

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。

Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck. Semi-automatic recovery with user confirmation for destructive actions.

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。

Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.

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。

Planning specialist that breaks a VNX feature or track into small, independently-shippable PRs with dependencies and per-PR task-class routing. USE THIS when the user wants to break a feature down into PRs, sequence the work, or turn a plan into a PR queue. Delegated to by @horizon (formerly @pm — @pm still resolves via alias). Works from Horizon's tracks DB (`vnx horizon`, alias `vnx objective`); the repo FEATURE_PLAN.md is a generated generic example, not the source.

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 reviewing, writing, or debugging Go code under exercises/part2/ (and matching embedded code in docs/part2/**/*.mdx). Thinks hard about correctness, idiomatic Go, error handling, resource cleanup, concurrency, and — crucially — what the tests would catch: edge cases, races, leaks, timeouts, and port conflicts. Knows the repo's module-mode quirk (GO111MODULE=off) and which dirs carry go.mod.

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。

Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware: breaks down per-person contributions with praise and growth areas.

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。

Two-layer funnel audit on collected data only — stress-test the awareness layer (hooks, messaging, proof placement, attention leaks on live pages and ads) and the lead-capture layer (opt-ins and lead magnets scored on the four Value Equation variables, friction findings, weakest-magnet rewrite), plus a phone-path check under the Phone Capture Fit Rule. Use when "funnel audit", "audit my funnel", "why is my funnel leaking", "top of funnel isn't converting", "audit our lead magnets", "opt-in audit", "awareness to lead audit", "where are we losing people", "lead capture audit", or any request to diagnose the full awareness-to-lead flow rather than one page.

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。