300 件（borghei のリポジトリ） ・ 人気順
概要と使いどころ
Systematic copy editing through focused passes (the Seven Sweeps Framework) covering clarity, voice, proof, specificity, and friction removal. Use when editing marketing copy, reviewing drafts, polishing content, or proofreading.
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。
Apple Human Interface Guidelines expert across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS. Use when designing or reviewing an Apple-platform app, auditing for HIG compliance, picking native components, or validating accessibility.
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。
Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and automation.
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。
Score a pitch deck's structure and content against YC, Sequoia, and a16z heuristics. Use before sending a deck to investors, practicing a pitch, or reviewing a seed or Series A fundraising deck.
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 Stripe integrations for SaaS billing: subscriptions, checkout, proration, usage- based billing, idempotent webhooks, customer portal, dunning, and SCA. Use when building billing, handling webhooks, or testing with Stripe CLI.
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。
Guide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support. Use when writing tests first, analyzing coverage, generating test stubs, or converting tests between Jest, Pytest, JUnit, and Vitest.
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。
Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.
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 development from an executable specification with traceable requirement IDs and merge-time coverage gates. Use when starting a greenfield feature, reviving a stale spec, or gating merges on requirement coverage.
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。
Scan codebases for technical debt with AST parsing, prioritize by impact, and generate trend dashboards. Use when tracking tech debt, prioritizing refactoring, calculating cost-of- delay, planning sprint debt, or reporting debt to execs.
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。
Multi-regulation privacy compliance navigator. Use for GDPR, CCPA, LGPD, POPIA, PIPEDA, PDPA, Privacy Act, PIPL, UK GDPR compliance assessments, DPA reviews, and data subject request management.
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。
GDPR Art. 35 Data Protection Impact Assessment with threshold checking, risk registers, and EDPB criteria scoring. Use for DPIA evaluations.
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。
Evaluate and compare technology stacks with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
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 should be used when the user asks to "analyze Terraform modules", "scan IaC for security issues", "review Terraform configurations", "check infrastructure code for misconfigurations", or "audit cloud 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。
App Store Optimization toolkit for researching keywords, optimizing metadata, and tracking mobile app performance on Apple App Store and Google Play Store.
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 SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks. Use when writing blog posts, creating social content, or analyzing brand voice.
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。
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies. Use when labelling AI ads, deepfakes, chatbots, influencer posts or testimonials.
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。
Transform AI-generated content into human-sounding writing via AI pattern detection, rhythm restoration, and authenticity scoring. Use when content sounds robotic, uses AI cliches, or the user wants to humanize or fix AI 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。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
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 ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
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。
Draft GDPR-compliant privacy notices for EU/EEA jurisdictions. Supports 6 notice types, 9 jurisdictions, multi-layer compliance verification. Use for privacy notice drafting, compliance checking, and jurisdiction mapping.
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 whistleblower systems and draft compliant reporting policies. Use when assessing or building whistleblower programs.
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。
Rapid NDA screening with GREEN/YELLOW/RED classification. 10-point checklist for incoming NDAs. Use when triaging NDAs, screening non-disclosure agreements, or routing NDAs for 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。
Design tokens, light/dark theming, and WCAG contrast validation for HTML documents and decks, compiled into one inlinable CSS bundle. Use when theming a report or deck, auditing contrast, or fixing dark-mode color drift.
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。