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概要と使いどころ
Use when profiling CUDA with Nsight Systems or Nsight Compute, reading roofline and occupancy metrics, or annotating phases with NVTX. Not for correctness: use cuda-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。
Use when the user asks to discover, group, and summarize work records across multiple systems for a given period or project. Not for organizing projects into child documents or local-only summaries.
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。
Enter explore mode to investigate ideas, systems, problems, and requirements before planning. Use explicit ultra mode when the user wants a durable adaptive research bundle with an index and only the justified C4, ADR, or dependency artifacts.
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 React + Three.js (or any browser canvas) frame stutter by capturing a CDP CPU profile via Playwright instead of guessing from `[perf]` console logs. Use when: (1) frame time is bad but `[perf]` instrumentation doesn't pinpoint the offender, (2) you've spent more than ~30 minutes "fixing" suspects without measuring, (3) hot paths involve animation systems, allocation bursts, or invisible scene-graph traversal, (4) you need self-time per function with line numbers, not aggregate "render slow". The `console.warn` pattern is good for monitoring; CDP is needed for diagnosis. Covers script template, sourcemap setup so minified function names are decoded, and interactive variant where the user drives the interaction and signals stop via `touch /tmp/<flag>`.
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 polished, code-driven Remotion motion explainers from scripts, narration, subtitles, product specifications, reference videos, UI recordings, diagrams, or abstract concepts. Use for product launches, AI demonstrations, UI interactions, algorithms, scientific principles, electrical systems, data flows, architecture, charts, equations, and concepts best expressed with React, SVG, Canvas, WebGL, or Three.js. Prioritize continuous spatial logic, visible cause and effect, precise interaction states, editable parameters, deterministic rendering, and evidence-backed visual QA.
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 needs to search or navigate code with Sourcegraph MCP tools. Provides disciplined search workflows for finding implementations, understanding systems, debugging issues, fixing bugs, and reviewing code.
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 evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
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。
Access the Anthropic product named Claude Design when the request contains that exact name, a claude.ai/design URL, or a .dc.html file. Also use for standalone-to-artifact migration and Claude Design artifact links. Use for projects, files, design systems, previews, conversations, comments, sharing, and code-to-design or design-to-code synchronization; otherwise stay inactive.
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。
Prepare outstanding commits on a feature branch for a pull request to upstream
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 making code changes or reviewing existing code, check if architecture diagram matches implementation, and keep the diagram in sync.
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。
Coordinate the custom Elementor Widget site workflow for kickoff, lightweight company intake, conditional reference research, new-versus-existing site style routing, uncertain next steps, project resumption, or continuous work across content, Design Systems, UI, HTML, and Widget implementation. Do not use for release, old-Widget troubleshooting, theme development, or remote WordPress 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。
Build, review, and browser-test interactive website page or module HTML from a confirmed UI Architecture Map and visual direction. Use for HTML First Drafts, restrained motion implementation, full-page or module-first prototypes, rendered design review, responsive and interaction QA, page composition, and implementation handoff. Do not use for design exploration, unconfirmed visual or motion direction, content strategy, Design Systems, Elementor controls, CMS templates, or framework components.
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。
Built by DynG AI for PlatformPilot.ai-style multi-agent systems. Use when designing or reasoning about message-passing agent coordination in ANY language: actor-style mailboxes, select, point-to-point routing, pub/sub, fan-in joins/quorums, ownership handoff, budgets, dead letters, and traces. Trigger words include PlatformPilot, DynG AI, actor model agents, message-passing agents, CSP agents, coordinate agents, multi-agent orchestration, agent runtime, fan-out workers, pub/sub agents, agent barrier, or join.
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 about NixOS, Nix language, flakes, nixpkgs, configuration.nix, nixos-rebuild, modules, options, overlays, derivations, mkDerivation, callPackage, home-manager, nix-darwin, devenv, packaging, cross-compilation, binary caches, garbage collection, NixOS containers, networking, firewall, systemd services, filesystems, LUKS, Wayland, X11, kernel, profiles, NixOS testing or VM tests, ISO images, Docker images, Raspberry Pi, Terraform, distributed builds, remote machines, pinning nixpkgs, rollback, generations, Nix Pills, or any topic related to configuring, packaging, deploying, or troubleshooting NixOS and the Nix ecosystem.
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。
Set up observability for AI systems. TRIGGERS - Use when user needs help with ai-observability-setup related 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。
Build AI presentation generation systems. TRIGGERS - Use when user needs help with ai-presentation-maker related 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。
Build AI invoice processing systems. TRIGGERS - Use when user needs help with ai-invoice-processor related 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。
Build ML pipeline orchestration systems. TRIGGERS - Use when user needs help with ai-pipeline-orchestrator related 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。
Build AI lead scoring systems. TRIGGERS - Use when user needs help with ai-lead-scorer related 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。
Build AI dynamic pricing systems. TRIGGERS - Use when user needs help with ai-price-optimizer related 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。
Build AI inventory optimization systems. TRIGGERS - Use when user needs help with ai-inventory-optimizer related 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。
Design AI knowledge management systems. TRIGGERS - Use when user needs help with ai-knowledge-management related 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。
Build AI market research systems. TRIGGERS - Use when user needs help with ai-market-researcher related 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。
Build multi-agent AI 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。