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Classify a proposed code change as Leaf Node or Core Code to decide how much AI usage and review rigor is appropriate. Use this skill whenever the user asks "is this leaf or core", "what kind of change is this", "should I vibe code this", "can AI write this", "how rigorous should the review be", or before starting any non-trivial change. Also useful as a sub-step inside other workflows (planning, PR prep, code review) when classification matters. Asks 6 diagnostic questions about propagation range, change frequency, tech-debt tolerance, examples, failure cost, and review intensity, then outputs a clear classification with the recommended approach. Trigger even when the user describes a change without explicitly asking for classification — the answer changes how they should proceed.

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Audit a prompt the user is about to send to Claude (or another coding AI) for completeness and effectiveness. Use this skill whenever the user shares a prompt and asks for feedback — phrases like "is this prompt good", "audit my prompt", "review this prompt", "will Claude understand this", "improve this prompt", "is this enough context". Also trigger proactively when you notice the user is about to dispatch a vague, under-specified, or over-constrained prompt for non-trivial work. Checks the 6 essential elements (goal, scope, existing patterns, constraints, verification, done definition), flags what's missing, explains why each gap matters, and produces an improved rewrite. Treat this skill as the litmus test for "Be Claude's PM" — if the prompt fails the audit, the work that follows will probably fail too.

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当用户有模糊产品想法、想做 App 或工具，但真实需求、范围、成功标准、技术可行性或商业化边界尚未确认时使用。尤其适合自用起步但可能商业化、需求容易膨胀、Apple 平台体验要求高、静态内容较多或需要在立项前判断是否值得做的产品探索场景。

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iOS platform development for Pulp — iPhone/iPad AUv3 app extensions, iOS Simulator builds, UIKit window host, CoreAudio IO audio, touch & Apple Pencil input, XcodeBuildMCP automation. Covers configure, build, deploy to simulator/device, and the gotchas discovered during iOS bringup.

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Unity 6 XR development guide. Use when building VR, AR, or MR experiences. Covers XR Interaction Toolkit, XR Plug-in Management, OpenXR, hand tracking, controllers, haptics, AR Foundation (plane detection, anchors, image tracking), and platform-specific setup (Meta Quest, Apple Vision Pro). Based on Unity 6.3 LTS documentation.

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Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, decide whether and how to answer on Quora, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, judge whether a podcast is worth appearing on when you cannot audit its numbers, write show notes and transcripts, run social listening (what are people saying about us, share of voice, brand monitoring, validated sentiment, alert thresholds, routing signals to the right owner), and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, how do I know if this podcast has real listeners, the host says they get 50k downloads, is this podcast worth going on, podcast RSS feed research, IAB podcast measurement certification, Listen Score, Apple Podcasts reviews, show notes, audiogram, episode transcript, social media account access, who has admin on our LinkedIn page, the person who ran our social accounts left, locked out of our company account, social media offboarding, YouTube channel owner, Slack primary owner, social account MFA, social media approval workflow, pause all scheduled posts, social listening, what are people saying about us, brand monitoring, brand mentions, share of voice, social share of voice vs competitors, sentiment analysis, is our sentiment dashboard accurate, listening query, boolean query, mention alerts, spike alert, CrowdTangle replacement, Reddit API access, which platforms can our listening tool see, someone on Reddit asked for a tool like ours, comment mining, voice of customer from social.

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Generate brand icons as SVG and produce all platform assets including favicon package (ICO, SVG with dark mode, apple-touch-icon), PWA manifest icons, and mobile app icons. Use when user runs /icon-forge, requests "brand icon", "favicon generation", "app icon", or "svg logo" for a project.

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Audit an ecommerce checkout flow against the 2026 conversion playbook. Triggers: "checkout audit", "checkout optimization", "Shopify checkout", "Stripe checkout", "Apple Pay".

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Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform weighting, beta-feature eligibility and scoring, spend audits, tracking audits, or prioritized opportunities and risks.

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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

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Expert guidance for Swift Testing: test structure, #expect/#require macros, traits and tags, parameterized tests, test plans, parallel execution, async waiting patterns, and XCTest migration. Use when writing new Swift tests, modernizing XCTest suites, debugging flaky tests, or improving test quality and maintainability in Apple-platform or Swift server projects.

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Review Yuzu C++ source changes for C++23 correctness, idiomatic standard-library use, ABI boundaries, threading primitives, and cross-compiler portability across GCC, Clang, MSVC, and Apple Clang. Use for any governance Gate 3 review when `.cpp`, `.hpp`, or `.h` files change.

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Use when planning, configuring, or maintaining a Salesforce Mobile Publisher branded app — a customer-facing or partner-facing mobile app distributed through Apple App Store or Google Play, built on either the Experience Cloud (LWR/Aura) Mobile Publisher template or the Field Service Mobile Publisher template. Triggers: 'salesforce mobile publisher branded app', 'experience cloud mobile app store distribution', 'mobile publisher push notifications certificate', 'app store review rejection salesforce', 'mobile publisher version policy update'. NOT for the standard mobile app — use admin/lightning-app-builder-advanced. NOT for Field Service mobile — use admin/fsl-mobile-app-setup.

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Detects improper use of SKStoreReviewController.requestReview() that violates Guideline 5.6.1 — including prompts triggered by button taps, excessive frequency, or satisfaction gating.

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Detects over-broad permission requests where a narrower permission or privacy-preserving alternative API is sufficient, violating Guideline 5.1.1(iii) data minimization requirements.

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Detects permission requests triggered at app launch or before meaningful user interaction, which violates Guideline 5.1.1(ii) requiring permissions to be requested only at the moment of need with contextual explanation.

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Detects screenshot submission issues including launch-screen-only assets and cross-platform UI references, enforcing Guideline 2.3.3 which requires screenshots to show the app in actual use.

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Detects apps that send user data to third-party AI systems without explicit in-app consent and disclosure, enforcing Guideline 5.1.2(i).

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Detects analytics or tracking SDKs present without the required App Tracking Transparency prompt, enforcing Guideline 5.1.2(i) which requires user consent before any cross-app or cross-site tracking.

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Detects data collection patterns that exceed what is necessary for the app's stated functionality, enforcing Guideline 5.1.1(iii) data minimization requirements.

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Detects apps that abuse iOS background execution modes — particularly silent audio used to keep the app alive, location background mode used for non-navigation purposes, and background task implementations that do excessive work — enforcing Guideline 2.5.4.

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Detects force unwraps, force casts, force try, and other crash-prone Swift patterns that can cause unrecoverable crashes during App Store review, violating Guideline 2.1.

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Detects push notification implementations that violate Guideline 4.5.4 — including requesting push permission at launch, using push for unsolicited marketing, and broken notification handling.

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Detects mismatches between features claimed in App Store metadata and features actually implemented in the codebase, enforcing Guideline 2.3.1 which prohibits misleading app descriptions.

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。