1,930 件 ・ 関連度順
概要と使いどころ
Turborepo (高速モノレポビルドシステム) リファレンス。 turbo.json、turbo run、タスク依存 (dependsOn)、キャッシュ (local / remote)、 workspaces (pnpm / npm / yarn / bun)、--filter、Remote Cache (Vercel)、 parallel 実行、turbo gen (コード生成)、watch モード、 エラーメッセージ診断 (recursive turbo invocations, missing root task, invalid env prefix)。
TanStack Start (TanStack Router ベースのフルスタック React フレームワーク、 @tanstack/react-start) の API リファレンス。Next.js とは別フレームワーク。 createServerFn (validator / handler), createMiddleware, server routes, createServerOnlyFn / createIsomorphicFn、SSR / selective SSR / SPA mode / static prerendering / ISR、streaming、hydration、 server entry / client entry、hosting (Cloudflare Workers / Netlify / Vercel / Node / Bun / Docker)、authentication / session、Tailwind、SEO、 environment variables。ルーティングは tanstack-router スキルを参照。
Claude Managed Agents (platform.claude.com/docs/en/managed-agents) リファレンス。 Agents API, Sessions API, Environments API, SSE event streaming, threads, deployments (cron スケジュール), dreams (メモリ統合), vaults (credentials), memory stores, self-hosted sandboxes, webhooks, multiagent orchestration, user profiles, Agent Skills 添付, MCP connector 接続, permission policies。
Claude Code (code.claude.com) の CLI 本体リファレンス。 CLAUDE.md memory, settings.json, env-vars, model config, keybindings, statusline, terminal config, cli-reference (-p / --continue / --resume), sessions, checkpointing, worktrees, remote control, channels, deep links, troubleshooting。
Claude Code (code.claude.com) の権限・セキュリティ・企業管理リファレンス。 permissions (allow / ask / deny), permission modes, auto mode, sandboxing (sandboxed Bash), sandbox environments, zero data retention, data usage, admin setup, server-managed settings, corporate launcher, network config, authentication (SSO), analytics, monitoring (OpenTelemetry), costs, large codebases。
Herdr の指定 workspace に新しい tab（指定時は pane 分割）を作って Claude Code を起動し、remote control のセッション URL を報告する。/herdr-launch-cc 実行時、「◯◯の workspace で cc を立ち上げて」等の Herdr 上での Claude Code 新規起動依頼時に使用。HERDR_ENV=1 必須。境界: 既存 pane・agent の確認や入力送信は herdr。
Herdr（コーディングエージェント向けターミナルマルチプレクサ）の操作と、herdr CLI の構文・ID 規約・agent 状態モデル（idle / working / blocked / done）の真実源。pane・tab・workspace・terminal・command の確認や操作、別 pane での agent 起動、pane 上の agent との通信の時に使用。HERDR_ENV=1 必須。境界: pane へ委譲するかどうか・経路・モデル・指示書・結果回収の方針は context/herdr-delegation.md（本スキルは CLI のみ）。
外部データ取得と取り込み経路のセキュリティレビュー。JRA 以外のホストへ取りに行かせない URL 検証（SSRF）、スクレイピングの作法（User-Agent・リクエスト間隔・タイムアウト）、外部由来 HTML/JSON を無検証で DB に入れない、クエリを Kysely で組み立て生の SQL 文字列を増やさないこと、CLI 由来のファイルパスの扱い、生成物（*.db / data/extracted-*.json / data/jra-page.html）と .env をコミットさせないことを検証。Use when user says 'セキュリティレビュー', 'review security', 'セキュリティチェック', 'SSRF確認', or 'SQLインジェクション確認'.
Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling 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。
OpenViking long-term memory plugin guide. Once installed, the plugin automatically remembers important facts from conversations and recalls relevant context before responding.
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。
Activate when the user asks about any repository listed in the system prompt under 'OpenViking — Indexed Code Repositories', or when they ask about an external library, framework, or project that may have been indexed. Also activate when the user wants to add, remove, or manage repos. Always search the local codebase first before using this skill.
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。
Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service 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。
Use when: User wants to extend Docker with custom tools, personalize the Docker environment, or set up user-specific Docker customization. Triggers: 'extend docker', 'docker-extend', 'add tools to docker', 'customize docker', 'add my tools to the container', 'personalize docker setup', 'docker user setup', 'install tools in docker'. Does: Interactively sets up Dockerfile.user and docker-compose.override.yml so users can add personal tools to their Docker environment without affecting maintainer files or committing user-specific config to git.
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 and optimize applications on Vercel with preview deployments, edge functions, environment variables, and performance monitoring. Use when deploying Next.js applications, setting up preview deployments per pull request, configuring environment variables, using Vercel Edge Functions, optimizing build performance, implementing redirects and rewrites, configuring custom domains, or monitoring application performance with Vercel Analytics.
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。
BROWSER REVIEW QA SKILL — Use the built-in browser/headless browser (puppeteer-core) to open a browser-runnable Cocos preview, switch preview targets, capture screenshots, and compare them with reference images. USE FOR: screen-driven QA only when the user has already prepared a Browser Review environment that can run in the browser (`http://localhost:7456`, LoadingScene/preview host/preview target wiring ready). DO NOT USE FOR: current Cocos Editor window screenshots, Editor Preview capture, compile errors, or pure log analysis. If the Browser Review environment is not ready, stop and remind the user to prepare it first.
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。
Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling 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。
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.
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。
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.
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。
Cloudflare Pages CI/CD with preview environments, edge functions, and Wrangler automation. Activate on: Cloudflare Pages, Wrangler deploy, preview environment, edge function, Pages project, Cloudflare Workers integration, custom domain on Pages. NOT for: Worker-specific development (use cloudflare-worker-dev), DNS management (use devops-automator), full-stack app frameworks (use vercel-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。
Three.js textures - texture types, UV mapping, environment maps, texture settings. Use when working with images, UV coordinates, cubemaps, HDR environments, or texture 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。
Clone a GitHub repository and automatically build a Docker environment for local verification. Creates a verification workspace in WS/, sets up Docker files, launches the environment, and performs health checks.
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。
claude.ai の sessionKey Cookie を Chrome プロファイルから抽出し、有効性確認後に Vercel 環境変数（Production / Development）と dashboard/.env.local の両方を 即時更新するスキル。再デプロイ不要でゼロダウンタイム更新が可能。 Trigger: Cookie更新, sessionKey更新, Cookie切れ, /dev:refresh-claude-web-cookie, /refresh-claude-web-cookie
Set and wire Convex deployment env vars / secrets for the app.
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, validate, and use 1Password CLI setup for secret injection and auth. Use when tasks need 1Password CLI usage, secret references, op run/read/inject, or provisioning secrets via env vars/.env files and scripts.
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。