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概要と使いどころ
Audits fielded survey-response data for registered elements, data quality, bot and AI-automation screening, and sample integrity, and produces an appendix-ready quality report. Use at soft launch before full field, after fielding before outcomes are analyzed, or when asked what a study did about bots and AI respondents.
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。
Interviews a researcher in rounds (idea, design, or defend stage) until no decision in a research idea, design, or draft is left assumed, recommending an answer to each question and writing settled decisions to a file. Use for 'grill me', stress-testing a design, or an idea not yet a design; --plan for software or process plans.
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 fielded survey response data for registered elements, data quality, bot and AI-automation screening, and sample integrity, and emit an appendix-ready quality report. Use at soft launch or after fielding, before outcomes are analyzed.
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。
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 140 proven marketing approaches organized by category.
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。
Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.
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。
Build production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM models, implementing agent orchestration, adding tracing/observability, or evaluating agent quality. Covers agent architecture, model selection, multi-agent workflows, and production deployment.
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。
Build functional software prototypes and MVPs without deep technical skills by using AI agents as "developers in your pocket." Use this skill when you need to validate a new product concept, build custom back-office tools (e.g., a real estate data manager), or create high-fidelity demos to unblock engineering roadmaps.
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 Haskell APIs using Hoogle. Use when working with Haskell projects to look up function signatures, find functions by type, discover library documentation, or identify which module exports an item.
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。
Super-skill for developing Haskell projects with cabal nix-style builds. Orchestrates HLS diagnostics, Haddock, Hoogle, source formatting, and cabal-gild into one workflow. Use when writing, editing, refactoring, building, typechecking, fixing compiler errors, renaming symbols, looking up APIs, or changing dependencies in Haskell projects. Treat cabal.project as the source of truth, prefer HLS before full builds, and prefer local docs over remote lookup.
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。
Read Haskell package documentation, Haddock HTML, Hackage pages, or dependency source for cabal nix-style projects. Prefer locally built/cached docs and source from the cabal store, dist-newstyle, plan.json, and repo-cache; fall back to Hackage only for packages outside the project dependency set or when local docs are unavailable.
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。
Format Haskell package descriptions and cabal project files with cabal-gild: *.cabal, cabal.project, cabal.project.local, and cabal.project.freeze. Use after editing dependencies or stanzas, when refreshing cabal-gild discover module lists, or when checking cabal file formatting.
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。
Format Haskell source files: *.hs, *.lhs, and *.hsig, with the project's configured formatter: fourmolu, ormolu, or stylish-haskell. Use before compiling, after source edits, and when applying project style.
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 whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me a CPA firm for our delaware c-corp series A audit", "shortlist three audit firms with SaaS experience", "we need a tax advisor for our M&A", or "pull contact info for these 10 accounting firm domains", even when described indirectly (audit our books, fractional CFO support, file our 1120). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip personal/consumer tax preparation (1040, individual estate, retirement planning), in-house controller/CFO hires, "how do I file my taxes" DIY questions, accounting-software comparisons (QuickBooks vs Xero), non-US firms, individual freelance bookkeepers.
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 whenever the user wants to find, shortlist, vet, or enrich US design and creative agencies — graphic design, UX/UI, product design, brand identity, packaging, illustration, motion design, and creative direction. Triggers on "find me a UX/UI design agency for our SaaS product", "shortlist three brand-identity studios in NY", "packaging design firm for a CPG launch", or "pull contact info for these 10 design studio domains", even when described indirectly (brand refresh, design our app, build our visual system). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-marketing-agency for marketing-led engagements where design is one of several services. Defer to find-web-developer when the deliverable is a built website. Skip in-house designer hires, "design me a logo" DIY asks, design-software comparisons, consumer/personal-design (weddings, hobby projects), non-US firms, individual freelancers.
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 whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build our recommendation engine", "shortlist three RAG/LLM consultancies for an enterprise chatbot", "compare three AI/ML consulting firms with strong ratings", or "pull contact info for these 8 AI consultancy domains", even when described indirectly (we want to use AI for X, deploy ML to production). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for general app/backend work where AI is just a feature. Skip in-house ML/data hires, LLM/AI-tool comparisons (ChatGPT vs Claude), "how do I fine-tune X" DIY questions, AI courses for individuals, non-US firms, individual freelancers.
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 whenever the user wants to find, shortlist, vet, or enrich US public-relations and communications agencies — media relations, crisis comms, investor relations (IR), product-launch PR, tech/startup PR, healthcare PR, B2B PR, public affairs, brand reputation, and internal communications. Triggers on "find me a tech PR agency in NY", "shortlist three IR firms for our IPO", "we need crisis comms help for a brand reputation issue", or "pull contact info for these 10 PR firm domains", even when described indirectly (we need press, get us into TechCrunch, manage our brand reputation). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-marketing-agency when scope is broader marketing beyond PR/comms. Skip in-house PR/comms hires, "write me a press release" DIY asks, PR-software comparisons (Cision, Muck Rack), influencer-marketplace questions, non-US firms, individual freelance PR people.
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 whenever the user wants to find, shortlist, vet, or enrich US web development firms — building, refreshing, or rebuilding marketing sites, landing pages, ecommerce, WordPress/Webflow/Shopify, headless CMS, microsites, and web frontend work. Triggers on "find a web developer for a marketing landing page", "shortlist three Webflow agencies in California", "rebuild our ecommerce site on Shopify", or "pull contact info for these 8 web dev shop domains", even when described indirectly (redesign and rebuild our site, ship a microsite). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for custom backend/API/mobile/internal-tool work — anything beyond a website. Defer to find-marketing-agency when scope spans broader marketing beyond the build. Skip in-house web-engineer hires, "how do I build X" DIY questions, hosting/CMS-product comparisons, non-US firms, individual freelancers.
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 whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery. Triggers on "where can I list my AI tool", "directories to submit my AI agent", "agent-skills directories", "best AI tool directories for backlinks", "where do I get my GPT/Claude app discovered", or "pull submission details for these AI-directory domains", even when described indirectly (we built an AI agent, where do we get it in front of people). Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-mcp-directories for MCP-server listings specifically, and to find-product-directories for general SaaS/software/app launches with no AI angle. Skip finding an AI consultancy/agency to hire (use find-ai-consultancy), comparing AI products ("ChatGPT vs Claude"), building an AI tool (do-the-work), and AI link-building *services*.
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 software architecture, including package cohesion and inter-package coupling
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。
Publish a tested Voxt release to the stores: Google Play production, App Store review (iOS + Mac Catalyst), Microsoft Store certification. Use when the user says "promote the release", "publish the apps", "release to the stores", "/promote-release", or after /prepare-release once the staged builds have been tested.
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 user-centered, accessible interface copy (microcopy) for digital products including buttons, labels, error messages, notifications, forms, onboarding, empty states, success messages, and help text. Use when writing or editing any text that appears in apps, websites, or software interfaces, designing conversational flows, establishing voice and tone guidelines, auditing product content for consistency and usability, reviewing UI strings, or improving existing interface copy. Applies UX writing best practices based on four quality standards — purposeful, concise, conversational, and clear. Includes accessibility guidelines, research-backed benchmarks (sentence length, comprehension rates, reading levels), expanded error patterns, tone adaptation frameworks, and comprehensive reference materials.
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。
Plan, evaluate, and produce paid ad campaigns across platforms (Meta, Google, LinkedIn, TikTok, Microsoft, Pinterest, Snapchat, Amazon, X). Evaluate existing ads, map funnel stages (TOF/MOF/BOF), produce ad variants per platform with policy compliance, output ready-to-upload copy. Use when "ad campaign", "create ads", "run ads for", "paid campaign", "media plan", "launch ads", "Meta campaign", "Google Ads campaign", "multi-platform ads", "evaluate my ads", "how are my ads doing", "audit my ads", "ad performance", "analyze ads", or any request to evaluate existing or create new advertising.
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 .NET command-line tool development with Spectre.Console/Spectre.Console.Cli, Microsoft.Extensions.Hosting, dependency injection, localized help text, command settings, aliases, examples, terminal output, exit codes, and stdio-safe command paths.
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 .NET application development involving services, managers, dependency injection, Microsoft.Extensions.Hosting, dependency direction, MiniDb persistence, DTOs, Mapster mapping, shared entities/helpers, MCP tools, module workflows, solution analysis, cancellation, logging, and logic shared by CLI and Blazor.
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。