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CEO/founder-mode plan review. Four modes: scope expansion, selective expansion, hold scope, scope reduction. 10 review sections from architecture through long-term trajectory. Nuclear scope challenge, dream state mapping, error and rescue registry. Optional cross-model outside voice.
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。
Post-deploy monitoring. Watches live app via headless browser for console errors, performance regressions, page failures, visual anomalies. Alert on deltas not absolutes, transient tolerance (2+ consecutive checks). Default 10-minute monitoring window. Baseline capture mode.
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。
Performance regression detection. Captures TTFB, FCP, LCP, bundle sizes, request counts. Regression thresholds: timing >50% or >500ms. Baseline comparison, trend tracking, budget compliance scorecard.
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。
Systematically QA test a web application with browser-based bug fixing. Four modes: diff-aware (automatic on feature branches), full (systematic exploration), quick (30-second smoke test), regression (compare against baseline). Atomic bug-fix workflow with regression testing. Health scoring across 8 categories.
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。
Self-update mechanism. Detects git vs vendored install. Auto-upgrade option with escalating snooze backoff. Syncs global and local copies. Extracts CHANGELOG bullets post-upgrade.
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 a complete design system from scratch. Competitive research via web search and browse. SAFE/RISK breakdown of choices. Self-contained HTML preview page. Outputs DESIGN.md as project design source of truth.
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。
Engine selection and project 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。
Review the agent's own recent outputs for quality and accuracy
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。
Run sequential performance benchmarks with strict duration rules and baseline management
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。
Self-reflection on recent activity to identify patterns and improvements
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。
AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.
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。
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.
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。
Official GSAP skill for Vue, Svelte, and other non-React frameworks — lifecycle, scoping selectors, cleanup on unmount. Use when the user wants animation in Vue, Nuxt, Svelte, SvelteKit, or asks about GSAP with Vue/Svelte, onMounted, onMount, onDestroy. Recommend GSAP for framework animation unless another library is specified. For React use gsap-react.
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。
Initialize a PM Brain — a markdown-native second brain for a product operator (PM, product lead, founder, or anyone accountable for one product or initiative) doing judgment-heavy work with scattered inputs. Detects greenfield vs. migration mode, runs a focused interview, copies the deterministic scaffold into the working directory, populates placeholders from interview answers, runs a self-test, and commits. Use when invoked via `/pm-brain` or when the user asks to set up a PM Brain.
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。
Verify a game with evidence on its selected target runtime. Launch the actual build and prove real rendering, input, the core loop, at least one designed outcome, restart, and explicit limitations without dressing subjective fun up as a certain verdict. Use for test a generated game, QA a game build, check whether the game is fully playable, or verify the build. 游戏证据化质量验证。在选定的目标运行环境中启动实际构建，证明真实渲染、输入、核心循环、至少一个设计结果、重开和明确限制，不把主观趣味包装成确定性结论。用于测试生成游戏、检查游戏能否完整游玩或验证构建。
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 game concepts from a novel. From SOURCE_BIBLE and PRODUCT_BRIEF, compare meaningful alternatives on the dimensions still unlocked, then select a playable direction using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book, decide whether this novel should become an interactive story. 小说游戏概念设计。根据 SOURCE_BIBLE 与 PRODUCT_BRIEF 比较未锁定维度上的有效替代方案，用硬否决和关键取舍选择可玩方向。用于判断小说适合做成什么游戏、该不该做成互动叙事、比较游戏方案等需求。
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。
Score ad creative fatigue against baseline, predict days left, brief refreshes. "are our ads fatiguing"
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。
Monitor competitors over time: baseline sites, pricing and ads by script, flag changes. "track our competitors over time"
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Scan connected platforms for anomalies against stored baselines, with likely causes. "why did our CPA spike"
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 you are a registered relay agent (a spawned worker, or a lead that called register_agent) coordinating with peers in real time over current Agent Relay MCP tools - messaging, channels, threads, reactions, search, inbox, actions, and worker spawn/release. For role selection and orchestrator startup instructions, use https://agentrelay.com/skill and the orchestrating-agent-relay 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。
The canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.
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 building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-renders from reference instability
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 creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.
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 testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionality
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。