4,394 件 ・ 関連度順
1:1 rebuild of award-winning creative websites (WebGL / scroll-animation / portfolio sites). Evidence-driven pipeline - mirror-first forensics, line-number-traceable reverse engineering of minified bundles, verbatim porting, quantitative verification gates. Use when user asks to "复刻网站", "重建网站", "1:1 rebuild", "clone this site", or provides a URL of a creative/award site to reproduce.
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。
Debugging-method traps: run the discriminating experiment first, read build logs bottom-up, treat an empty actual as unwritten, audit shared handles before removing a feature, read commit history critically. Use when a fix is not converging.
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。
Media player traps on Media3/ExoPlayer and desktop engines: crossfade, audio focus, fades, loudness, DSP, queues and shuffle, position restore, service lifecycle, group listening. Use when playback state, queue or audio levels go wrong.
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。
Writes educational Teams channel posts about Claude Code features and best practices, using templates emphasizing concrete examples and underlying principles (e.g. context engineering). Use when writing a Teams post or announcement to teach colleagues Claude Code usage, announce a feature, share a tip, or document a lesson learned.
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。
Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a system prompt and context assembly, cut token usage without losing quality, debug an agent that ignores instructions, or audit how retrieval results, history, and tool definitions are packed into the window. Produces a context inventory with a keep/cut/restructure verdict per component, ordering and caching fixes, and a token budget. For wording-level prompt tuning use prompt-optimizer.
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。
Get foreign qualifications, degrees, or professional licenses recognised in a new country — figure out whether recognition is even needed, which body assesses it, what evidence they want, and the bridging route if there's a gap. Use when someone says 'get my degree recognised abroad', 'is my foreign license valid here', 'credential evaluation', or 'can I work as a [nurse/engineer/teacher] in [country] with my qualifications'. Produces a recognition roadmap, the assessing body, an evidence checklist, and the bridging options. Routes to official assessment bodies; requirements are country- and profession-specific.
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。
Prepare for and run a product requirements review (需求评审 / PRD 评审会) the way Chinese internet teams do it: a pre-read the engineers, testers and designers can challenge, the questions each role will ask, the meeting run sheet and a written conclusion (通过 / 有条件通过 / 不通过). Use when asked 帮我准备需求评审, PRD 评审会怎么开, 评审前检查一下我的 PRD, 研发会问什么问题, or prepare my requirements review in Chinese. Produces a readiness check of the PRD, a role-by-role question bank with answer points, a 60-minute run sheet, and the review minutes template with the conclusion and follow-ups.
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。
Review a pull request or diff like a thoughtful senior engineer — prioritized, kind, and focused on what matters. Use when reviewing code, giving PR feedback, or asked to 'review this change'. Produces a structured review: a correctness/design pass, comments ranked by severity (blocking → nit), what's done well, and a clear approve / request-changes call — feedback that improves the code and the author.
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。
Simplify code that works — remove speculative abstraction, dead flexibility, and needless indirection while keeping behaviour identical and verified. Use when a feature has just landed ('now simplify it'), when AI-generated code arrives over-engineered, when a file has grown hard to follow, or as the cleanup pass before review. Produces a smaller, flatter version with identical behaviour, plus a ledger of what was removed and why it was safe. For finding bugs use code-review-checklist / ai-code-review — this skill assumes it works and makes it simple.
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。
Get your attention back with a 30-day protocol that assumes you'll break it — a screen-time ledger without moralizing, friction engineering (what to delete, grayscale, where the phone sleeps), planned relapses, and honest replacement activities for the boredom that shows up on day 3. Use when someone says 'my screen time is 7 hours', 'I want a dumbphone', 'digital detox', 'I can't read books anymore', or 'my attention span is gone'. Produces the ledger, a personal friction plan, and the 30-day protocol with expected failure points.
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。
Re-pitch one piece of content for four audiences — the board, the engineers, a customer, a new hire — with a delta table showing what changed between altitudes and why. Use when asked to rewrite this for execs, explain this to the team, make this customer-facing, or say this four ways. Produces the four versions plus the delta table of what was cut, added, and reframed per altitude.
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。
Review AI-authored code for its characteristic failure modes — plausible-but-wrong logic, hallucinated APIs, over-engineering, dead scaffolding, and silent security shortcuts. Use when reviewing an AI-generated or heavily AI-assisted PR, when AI-written code keeps shipping subtle bugs, or when setting review standards for a team using coding agents. Produces a focused review with AI-specific findings, verification steps per risk class, and a team checklist for AI-authored changes. For general PR review use code-review-checklist — this skill covers what that one assumes a human wouldn't do.
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。
Change Octane's runtime, compiler, scheduler, reconciler, SSR, or hydration engine. Use before editing packages/octane/src. Covers the observable contract, hot-path analysis, and the performance evidence required before handoff.
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。
Help users transform abstract ideas into actionable project specs that align engineering and design teams on the problem and success metrics.
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。
Help users build sustainable growth engines by transitioning from accidental word-of-mouth to structured referral programs and viral product loops.
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。
Help users navigate the end-to-end negotiation process for product and engineering roles, from initial recruiter calls to evaluating startup equity and final offer signing.
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。
Help users design high-performing product and engineering organizations by choosing the right reporting models, team sizes, and cross-functional partnerships. It focuses on reducing friction and maximizing ownership through structural clarity.
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。
Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
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。
Help users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.
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。
Help users build a robust enterprise sales engine by mastering founder-led discovery, navigating complex procurement cycles, and designing products that meet organizational governance needs.
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。
Help users build and scale a high-velocity growth experimentation engine that prioritizes impact and fosters a culture of rapid learning.
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。
Help users transition from linear funnel thinking to a loop-based growth model that identifies and optimizes the core engines of their business.
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。
Help users identify, attract, and hire exceptional product managers and engineers by shifting from passive HR processes to a founder-led, high-intensity recruitment strategy.
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。
Help users de-risk new product bets by testing core assumptions, building low-fidelity prototypes, and gathering high-signal evidence before investing heavy engineering resources.
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。