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概要と使いどころ
Use when explaining or planning around AAAI's two-phase review process, Phase 1 rejection risk, Phase 2 additional reviews, AI-assisted review pilot, author feedback, SPC/AC discussion, and final decisions.
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。
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.
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。
Test product-demand hypotheses using public customer language, search and social signals, competitor offers, reviews, comments, creator content, and social-commerce evidence before committing to a product, launch, offer, or campaign.
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。
Scrape G2, Capterra, and Trustpilot reviews for your product and competitors, then extract recurring themes, objections, proof points, and exact customer language for use in messaging. Chains review-site-scraper with LLM analysis. Produces a weekly or monthly digest that feeds directly into copywriting, positioning, and sales enablement. Use when a marketing team needs to ground messaging in real customer language.
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。
Search Amazon products - find items, compare prices, read reviews
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。
Generate detailed, differentiated content briefs at scale. Each brief includes SERP analysis, competing page breakdown, unique angles from real customer language (reviews, Reddit), internal linking plan, and SERP feature targets. Batch mode produces 10-50 briefs in one run. Crushes generic "keyword density" briefs from tools like Surfer or Clearscope.
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。
Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves.
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。
Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.
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。
Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of 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。
Write a street-interview ad from a complete inspected commercial interaction and current brand facts. Render product guessing, or prepare mic-only, prepared-sample or visible-task conversation script/prompt previews. Premise, actions and ad connection vary; capture rules stay fixed. Conversation media delivery is unverified.
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。
Selects, reviews, and migrates Apple-platform app architectures across MV with Observation, MVVM, MVI, TCA, Clean Architecture, Coordinator, and legacy VIPER. Use when choosing module and dependency boundaries, escalating a feature beyond simple SwiftUI MV, planning incremental architecture migration, or auditing state ownership and test seams.
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 user asks to "fetch overleaf review comments", "address overleaf reviews", "apply overleaf comments", "review my overleaf paper", "sync overleaf feedback to local", "what comments are on my overleaf doc", or wants to act on Overleaf reviewer feedback in a local git-tracked LaTeX repo.
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 "simplify", "clean up the diff", "run simplify", "simplify the changes", "review changed code for cleanup", explicitly invokes "/simplify", or asks to "commit without simplify", "skip simplify for this commit", or "commit this but skip simplify". Reviews changed code across reuse, simplification, efficiency, and altitude, or grants an explicit one-commit bypass. Not for correctness bugs.
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 or troubleshoot Wrangler CLI commands and configure Worker projects for local development, Previews, deployment, and Cloudflare resource 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。
Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.
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。
Deploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails. Use when shipping Next.js, SvelteKit, or static sites with zero-config CI/CD.
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。
Deploy static sites and full-stack apps on Cloudflare Pages with previews, functions, and custom domains.
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。
Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request 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。
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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 incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews. Use when managing production incidents.
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 change management processes. Configure CAB reviews, change windows, and rollback procedures. Use when managing production changes.
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。
eBay review and feedback authenticity analyzer. Detect fake reviews, suspicious seller feedback patterns, and buyer manipulation. Includes time clustering detection, content similarity analysis, and eBay-specific red flag identification. No API key required.
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。
Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase validation. Progressive analysis with L1-L4 depth levels. No API key required.
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。
Shopify/DTC product differentiation strategy tool. Analyze competitor stores, extract pain points from reviews, identify brand positioning opportunities, and generate actionable differentiation strategies. Includes DTC-specific metrics like CAC, LTV, and brand story analysis. No API key required.
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。