6,771 件 ・ 関連度順
概要と使いどころ
Color selection engine: production-level product intent -> palette -> contrast -> tokens. Use when implementing, reviewing or testing color selection engine for React, Vite, Next.js or Perfect_AI projects.
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。
Animation storyboard: production-level frame states and scroll-beats production spec. Use when implementing, reviewing or testing animation storyboard for React, Vite, Next.js or Perfect_AI projects.
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 deploying this teleprompt app with get-convex/static-hosting, especially when the user says /deploydev, /deployprod, deploy dev, deploy prod, deploy production, upload static hosting, or asks which Convex static-hosting command to run. Keeps dev uploads on fearless-dolphin-422 and production uploads on befitting-dodo-95.
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 Convex Auth setup, production, OAuth, security, and debugging guidance. Use when adding or auditing Convex Auth, configuring GitHub/Google/Apple OAuth, setting auth env vars, protecting Convex functions with getAuthUserId, debugging callback URLs, preparing production auth, rotating keys, or reviewing auth security.
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。
Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.
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。
Productivity analyst that maps your workflow, scores tasks by time cost and energy drain, and builds a prioritized 4-week automation plan. Use when you want to audit your workflow, figure out what to automate, do a productivity review, identify high-leverage tasks, feel overwhelmed and need to prioritize, or after the compounder surfaces new friction. Part of the architect-system loop. Outputs to system/audit-report.md.
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。
Productivity analyst that maps your workflow, scores tasks, and builds a prioritized automation plan. Use when: (1) "audit my workflow", "what should I automate?", "productivity review", (2) Starting a new project and need to identify high-leverage tasks, (3) Feeling overwhelmed and need to prioritize, (4) After /compounder surfaces new friction or patterns. Reads compounder insights when available. Outputs to system/audit-report.md.
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。
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
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 in building custom tools that solve your own problems first. The best products often start as personal tools - scratch your own itch, build for yourself, then discover others have the same itch. Covers rapid prototyping, local-first apps, CLI tools, scripts that grow into products, and the art of dogfooding. Use when: build a tool, personal tool, scratch my itch, solve my problem, CLI tool.
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 in building and selling Notion templates as a business - not just making templates, but building a sustainable digital product business. Covers template design, pricing, marketplaces, marketing, and scaling to real revenue. Use when: notion template, sell templates, digital product, notion business, gumroad.
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 in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
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 "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use shell script templates for system administration.
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。
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
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。
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
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。
Hardening Docker containers for production involves applying security best practices aligned with CIS Docker Benchmark v1.8.0 to minimize attack surface, prevent privilege escalation, and enforce leas
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。
Affiliate and sponsored content generator — create natural product review, comparison, and recommendation articles that comply with ステマ規制. Integrates compliance-checker for automatic legal safety. Supports review, comparison, and experience-based formats.
Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder with proper credential injection and health monitoring. Use when deploying Adobe API integrations to production platforms. Trigger with phrases like "deploy adobe", "adobe Vercel", "adobe Cloud Run", "adobe App Builder deploy", "adobe production deploy".
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 for the infrastructure implementation phase after the backend follows the model — turning documents/infra-design decisions into infra/ (local container stack, production IaC), wiring cradle.json infra.up / infra.containers, adding IaC validate and image build steps to CI, and, once E2E passes, applying production once in a sandbox and recording it in the deployment table. Not for designing infrastructure (infra-design).
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。
Busabase-backed project-based PPT production App-in-Skill. Use when the user invokes $kelly-ppt-factory or /kelly-ppt-factory, mentions PPT factory, 规模化 PPT, bulk PPTX, batch decks, reusable PowerPoint style systems, presentation production workflows, pitch decks, sales decks, training decks, report decks, slide-card/storyboard planning, style-consistent deck generation, PPTX QA, or wants to manage many PPTX files through project to deck to slide card to review to generate to render QA.
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。
Manage Claude Code Viewer (CCV): preview in-progress CCV changes on ccv-preview, register HTML artifacts, download files, or schedule jobs via CCV local API. Use when user asks for CCV preview, ccv-preview, browser visual QA, UI/UX validation, CCV artifacts, CCV file download, or CCV scheduler jobs. Treat preview/プレビュー as the CCV app preview service first; use artifacts only when the user explicitly asks for artifact/dashboard/report HTML. Do NOT use for generic web app previews outside CCV, production deployment, Cloudflare config, or Anthropic remote triggers.
Analyze Sentry session replays to surface UX patterns, pain points, and user journeys for a given product area. Use when asked to "show me how users use", "day in the life", "UX research", "replay research", "how do customers use", "what's the user experience like for", "watch replays of", "analyze replays for", "user behavior on", or "replay UX audit" for any Sentry product surface.
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 the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, production database tables, or other data that PostHog does not collect natively. Also use when a query fails because a table does not exist or returns no results for expected external data. The data warehouse can import from SaaS tools (Stripe, Hubspot, etc.), production databases (Postgres, MySQL, BigQuery, Snowflake), and other arbitrary data sources. Covers checking existing sources, identifying the right source type, and guiding the setup.
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。
Add PostHog product analytics events to track user behavior. Use after implementing new features or reviewing PRs to ensure meaningful user actions are captured. Also handles initial PostHog SDK setup if not yet installed.
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。
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered 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。