「collaboration」の検索結果

Write warm, direct collaboration comments. Trigger: PR feedback, issue replies, reviews, Slack messages, or GitHub comments.

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。

TikTok Shop product differentiation strategy tool. Analyze viral product trends, competitor affiliate strategies, content performance, and identify differentiation opportunities. Includes TikTok-specific metrics like engagement rate, viral potential, and creator collaboration insights. 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。

TikTok Shop affiliate program strategy and creator collaboration. Commission structures, creator recruitment, sample management, performance tracking, and partnership optimization. Use when the user asks about TikTok Shop affiliates, creator partnerships, or TikTok Shop Creator Fund.

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。

Social media marketing strategy for ecommerce brands. Content calendar planning, platform-specific strategies, social commerce optimization, influencer collaboration, and community building. Use when the user asks about social media marketing, social commerce, content strategy, or social media for ecommerce.

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 plan, implement, or optimize influencer marketing strategy. Also use when the user mentions "influencer marketing," "KOL," "creator partnership," "brand ambassador," "sponsored content," "influencer campaign," "micro-influencer," "influencer outreach," "creator collaboration," or "influencer deal." For creator programs, use creator-program.

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 plan, implement, or optimize creator program strategy. Also use when the user mentions "creator program," "creator partnership," "content co-creation," "creator ambassador," "creator economy," "creator collaboration," "UGC program," "creator incentives," or "creator community." For influencers, use influencer-marketing.

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。

How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI policy.

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 Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.

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。

Design systems leadership across component libraries, design tokens, and design-dev collaboration. Use when architecting a token system, building a component library, defining governance, or generating cross-platform tokens.

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。

Design multi-informant assessment approaches for dispositional competencies like curiosity or resilience. Use when assessing character strengths or competencies that written tests cannot capture.

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。

Design AI-supported collaborative tasks that structure group interaction and address participation problems. Use when students struggle to collaborate effectively on group tasks.

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。

让 Codex 与 Claude Code 通过本机 CLI 组成“主执行者 + 独立审查者”的对称协作闭环。用于用户要求两个模型一起完成、交叉校核、独立审查、修到 ACK，或任务涉及产品需求收敛、复杂方案、跨模块开发、迁移、安全、重要重构和高质量交付时；无论从 Codex 还是 Claude Code 启动，都由当前模型主持，并完整调用另一方完成需求挑战、方案门禁、实现冷审和最终验收。

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。

Local user-profile maintenance skill for Codex, Claude Code, OpenClaw, OpenCode, and other agent harnesses. Use only when the user explicitly invokes $user-profile-keeper to create, initialize, update, query, correct, delete, export, or audit a local persistent user profile. It can extract durable collaboration preferences, requirement-expression habits, capability boundaries, recurring omissions, risk preferences, privacy boundaries, and typical events from the current session into auditable, confirmable, retractable local profile data. Do not auto-invoke, upload profile data, or replace task-clarifier's normal clarification flow.

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 an influencer marketing strategy — finding influencers, briefing, contracts, deliverables, performance tracking, micro vs macro strategy, outreach, and FTC compliance. Use when the user says "influencer marketing", "influencer strategy", "work with influencers", "influencer outreach", "influencer brief", "find influencers", "micro influencer", "macro influencer", "nano influencer", "creator marketing", "brand ambassador", "influencer campaign", "influencer collaboration", "seed influencers", "gifting influencers", "paid influencer", "influencer ROI", or wants to use influencers or creators to grow the brand.

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。

Enforce version control best practices for commits, branching, pull requests, and repository security. Use when writing commits, creating branches, merging, or opening pull requests.

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 Git branching strategies, commit conventions, and collaboration workflows. Use when choosing between trunk-based development, GitHub Flow, or GitFlow, implementing conventional commits for automated versioning, setting up Git hooks for quality gates, or organizing monorepos with clear ownership.

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。

Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality 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。

Implement or review SignalR hubs, streaming, reconnection, transport, and real-time delivery patterns in ASP.NET Core applications. USE FOR: building chat, notification, collaboration, or live-update features; debugging hub lifetime, connection state, or transport issues; deciding whether SignalR or another. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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。

SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation. Use when modeling agent teams with clear roles and task pipelines.

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。

Interact with Storj Gerrit team code collaboration service, which we just called it gerrit, when the user ask to do it

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 real-time features using Convex reactive queries that automatically update when data changes, enabling live collaboration, instant updates, and reactive UIs without manual polling. Use when building live dashboards, implementing collaborative editing, creating chat applications, showing real-time notifications, building activity feeds, implementing presence indicators, creating reactive search, or any feature requiring instant data synchronization across clients.

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。

Helps coding agents integrate and work with the Tiptap rich text editor. Use when building or modifying a rich text editor with Tiptap, installing Tiptap extensions, or implementing features like collaboration, comments, AI, or document conversion.

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 writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions, multi-tab/popup flows, mobile/responsive layouts, touch gestures, GraphQL, error handling, offline mode, multi-user collaboration, third-party services (payments, email verification), console error monitoring, global setup/teardown, test annotations (skip, fixme, slow), test tags (@smoke, @fast, @critical, filtering with --grep), project dependencies, security testing (XSS, CSRF, auth), performance budgets (Web Vitals, Lighthouse), iframes, component testing, canvas/WebGL, service workers/PWA, test coverage, i18n/localization, Electron apps, or browser extension testing. Covers E2E, component, API, visual, accessibility, security, Electron, and extension testing.

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。

Transform an AI agent into a disciplined software development partner with strong judgment, transparent decisions, proportionate verification, and craftsmanship. Use for software implementation, feature work, bug fixing, refactoring, optimization, migrations, and sustained collaboration inside a codebase. Do not use merely because a task involves an AI agent; use a dedicated agent-design skill when the primary problem is agent architecture.

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。