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概要と使いどころ
Use when creating a new project folder, starter pack, app scaffold, or agent-ready workspace — AGENTS.md, README, TASKS, DECISIONS, PROMPTS, an idempotent bootstrap script, and starter-pack modes.
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。
Start a project on the Visual Stack — a multi-step setup form captures what's being built, recommends a stack, and either instantiates the vstack-template-base template, sets up a specs-and-design-only workspace, or records an existing codebase without touching it. Use when the user wants to start a new project, scaffold a repo, set up a codebase from the Cavalry template, pick a stack or add-ons, run Day-1 setup, or bring an existing app onto the visual stack.
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 AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, expla...
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Telegram Bot API の long-polling を cloud routine 上で常駐させ、認可済みチャットからのメッセージに秘書エージェント（SecretaryRole）が即応する対話チャネル。Webhook 不可な cloud routine 環境制約を long-polling + /goal deadline 駆動ループで回避する。
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
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。
Writes a DRAFT weekly KPI report from the figures the user pastes or attaches (this week, last week, optionally target and earlier weeks): a metrics table with change versus last week computed only from the stated figures, plain-language notes per metric, and numbered questions on every figure that moved more than the agreed threshold, crossed its target or broke its run. Use when the user asks to "write the weekly KPI report", "turn these numbers into this week's metrics report", "what changed versus last week", "draft the Monday numbers update" or "add commentary to this metrics table". Do not use for a recurring emailed report with a maintained trend sheet, use report-attachment-analyzer instead; for actuals versus budget, use budget-variance-explainer. Drafts for human review; never approves, authorises or signs off.
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 to "set up my founder social-selling routine", "build a daily engagement block for target accounts", or "turn funding / hiring signals into selling plays"; produces the founder/seller daily operating block — a time-boxed engagement-block spec (substantive value-add comments on target-account posts, never a pitch), warm-touch-before-ask cadence rules, trigger-response plays consuming the social-pulse-monitor B2B trigger watchlist (funding / hiring / launch signals), and a quarterly diagnostic that reads LinkedIn SSI as an input diagnostic only (Estimated, vendor-defined — never a target metric). All volume norms are Estimated/community-derived; all execution is human — zero mass-DM, zero connection-request automation, zero engagement automation (LinkedIn UA §8.2 red line); 1:1 pitch and DM mechanics route to outreach-manager. Not for cold email sequences — use cold-outbound-sequencer. 社交销售/创始人日常互动块/热身触达节奏/触发信号剧本
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 to "pick a bid strategy", "set a tCPA/tROAS target", or "plan the learning-phase entry"; produces a bid-strategy choice (tCPA / tROAS / max-conversions / manual CPC), the starting target math, a portfolio grouping map, and a learning-phase entry plan. Not for splitting the budget across campaigns — use budget-optimizer; not for in-flight pacing/scale moves — use budget-pacing-monitor; not for scoring the account — use ad-account-auditor. 出价策略/tCPA目标/tROAS/学习期
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。
Works on Kotlin Multiplatform mobile projects with shared Kotlin source sets and Android/iOS targets. Use for architecture, tests, debugging, reviews, performance, security, accessibility, dependencies and releases when `org.jetbrains.kotlin.multiplatform` is applied; inspect actual targets, `commonMain`/`commonTest`, target source sets, Compose Multiplatform and the iOS framework/host app before giving platform advice.
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。
Bu template'te Firebase'i ve giris yontemlerini kurar. Kullaniciya hangi saglayicilari istedigini (Google, Apple, e-posta dogrulama, misafir gezinme) sorar, AppConfig bayraklarini cevirir ve o saglayicilarin gercekten calismasi icin Firebase Console / Apple Developer / Play Console / Xcode tarafinda yapmasi gerekenleri adim adim listeler. Kullanici "girisi kur", "Firebase'i bagla", "Google girisi ekle", "Apple ile giris ekle", "auth kurulumu", "login sistemini aktif et", "set up authentication" dediginde kullan. Repoyu klonlayip ilk kez calistiran icin giris noktasidir.
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。
Bu template'i klonladiktan sonraki tum kurulumu yurutur — bagimliliklar ve codegen, projeyi kendine uyarlama, Firebase, giris yontemleri (Google/Apple/e-posta dogrulama/misafir gezinme), zorunlu guncelleme (Remote Config), odeme ve abonelik (RevenueCat), Android release imzalama (keystore), native splash ve store URL'leri. Kullaniciya ne istedigini sorar, AppConfig bayraklarini cevirir ve Firebase Console / Apple Developer / Play Console / RevenueCat tarafinda yapmasi gerekenleri sirayla listeler. Kullanici "kurulumu yap", "kurulumu baslat", "klonladim ne yapmaliyim", "Firebase'i bagla", "odeme ekle", "keystore olustur", "release imzasi kur", "set up the project" dediginde kullan. Repoyu ilk kez calistiran icin GIRIS NOKTASIDIR.
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 working with Devcycle — devCycle feature flag management, targeting rules, environments, variable management, and usage metrics. Covers feature creation, variation configuration, targeting rules, audience segments, and API usage tracking. Use when managing feature flags, configuring targeting rules, reviewing variable usage, or analyzing feature adoption in DevCycle.
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 working with Config Cat — configCat feature flag management, remote configuration, A/B testing, targeting rules, and percentage-based rollouts. Covers flag listing, targeting rule management, environment overrides, audit log review, and SDK integration status. Use when managing feature flags, reviewing targeting rules, analyzing flag usage, or auditing configuration changes in ConfigCat.
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。
MSBuild property definition patterns: conditional defaults, composition/concatenation, path normalization, trailing slash handling, TFM detection helpers, and property evaluation order. Only activate in MSBuild/.NET build context. USE FOR: diagnosing and fixing MSBuild property definition issues in .props or .csproj files, reviewing and fixing shared property configuration anti-patterns, fixing DefineConstants or NoWarn being overwritten instead of appended, fixing unconditional property assignments that prevent project-level overrides, fixing unquoted conditions that fail when properties are empty, fixing hardcoded paths that break cross-platform builds, setting property defaults that can be overridden, understanding property evaluation order and last-write-wins semantics. DO NOT USE FOR: props vs targets placement (use directory-build-organization), item operations (use item-management), target structure (use target-authoring), general anti-patterns (use msbuild-antipatterns), non-MSBuild build systems.
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。
Patterns for managing MSBuild item groups: Include/Remove/Update semantics, item metadata, batching with %(Metadata), transforms, per-item filtering, and cross-product batching pitfalls. Only activate in MSBuild/.NET build context. USE FOR: diagnosing and fixing item group anti-patterns in .csproj files, reviewing item management for correctness, fixing CS2002 duplicate file warnings from SDK globbing, fixing targets that run more times than expected due to cross-product batching, fixing Include vs Update misuse on SDK-globbed items, fixing FileWrites registration for generated file clean support, moving generated files to IntermediateOutputPath. DO NOT USE FOR: target chain architecture (use target-authoring), property patterns (use property-patterns), incrementality (use incremental-build), general anti-patterns (use msbuild-antipatterns), non-MSBuild build systems.
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。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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 wants to improve their app's star rating, increase ratings volume, optimize when and how they prompt users for a review, or recover from a bad rating period. Use when the user mentions "app rating", "star rating", "review prompt", "SKStoreReviewRequest", "In-App Review API", "ask for review", "low rating", "rating drop", "get more reviews", or "recover from 1-star". For responding to reviews, see review-management. For overall ASO health, see aso-audit.
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。
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
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。
quickstart step of mspec workflow — write quickstart.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。
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
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 wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.
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。
窓口のコンテキストを圧迫したまま session を続けるのを避けるため、 直近のやり取り・進行中ワーク・組織状態を handover ファイルに書き出し、 /clear → /secretary-resume で新しい窓口セッションを開始する準備をする。 「リフレッシュ」「窓口を引き継ぎたい」「コンテキスト整理」と言われたとき、 または窓口自身が context が長くなったと判断したときに使う。
Plan a user interview topic in PostHog — pick who to target (cohort, emails, or PostHog distinct IDs), draft what to ask about, and prepare the voice-agent context plus a question list. Use when the user asks to "talk to users", "check how users feel about X", "interview some customers", "set up a user interview", "run a user-research call", "find users to ask about Y", or otherwise wants qualitative feedback through a conversation. Walks the user through targeting (cohorts-list, persons-list, or accepting emails / distinct IDs directly), captures the topic, and prompts for agent context and questions before calling user-interview-topics-create. Cohort targeting is resolved to explicit emails/distinct_ids at create time — topics snapshot their audience and do not re-evaluate cohort membership later. Do NOT trigger when the user is uploading a recorded interview audio file (that's the separate UserInterview/transcript flow) or only browsing existing topics with user-interview-topics-list.
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。
End-to-end post-GWAS causal inference pipeline orchestrating heritability partitioning, genetic correlation, Mendelian randomization with CHP-aware sensitivity (CAUSE / LHC-MR), colocalization, fine-mapping with SuSiE / FOCUS, mediation, TWAS triangulation, cis-pQTL drug-target MR, effector-gene prioritization (L2G / PoPS / cS2G), and GenomicSEM common-factor GWAS. Use when triangulating causal inference across multiple complementary methods, prioritizing tissues via stratified LDSC, nominating or de-risking drug targets, mapping a lead SNP to a candidate effector gene, modeling shared genetic architecture across correlated traits, or producing a STROBE-MR-compliant publication-grade evidence battery from GWAS summary statistics.
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。