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概要と使いどころ
Use when choosing the model for a medical-imaging study. Picks a paper-grounded architecture family (CNN/ViT, U-Net/nnU-Net, detection, SAM/foundation, GNN), then vets the concrete repo or checkpoint for licence, version pin, weight provenance and benchmark overlap.
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。
Improves code quality across duplication, efficiency, and architectural fit. Use when code passes tests but quality is poor or before a major release.
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。
Captures and retrieves PR-review findings in memory palaces. Use after PR review to store architectural decisions, patterns, and standards for future reference.
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。
Applies KISS, YAGNI, and SOLID principles for clean code with reduced complexity. Use when refactoring or reviewing code for over-engineering.
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。
Guides a new developer through five staged challenge sets covering architecture, domain, patterns, and hardening. Use when onboarding contributors.
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。
Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.
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。
Detects architectural clusters and coupling boundaries via community detection on the code graph. Use when identifying module groupings or refactoring targets.
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。
States load-bearing decisions, invariants, and weak points. Use when judging a design change. Do not use for gating; use night-market-change-control.
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 composable skill modules with hub-and-spoke loading. Use when token budget is tight.
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 plugin quality with tiered checks and dependency scoping. Use for PR and pre-release audits.
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。
Route D-FINE object-detection setup, training, architecture inspection, inference, export, and troubleshooting workflows.
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 jadore801120 attention-is-all-you-need-pytorch for Transformer architecture inspection, preprocessing, training, and checkpoint translation workflows.
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 Baichuan-7B model loading, architecture inspection, C-Eval/MMLU evaluation preflights, and DeepSpeed pretraining setup from self-contained repo guidance.
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 and maintain one committed per-project memory file (PROJECT.md) so agents stop re-discovering the same facts every cold session. Stores only the stable, expensive-to-rediscover, not-in-the-code context — architecture + why, build/test/run commands, decisions and dead-ends — as human-readable markdown, versioned with the code so it can't silently rot. Use when asked to set up project memory/context, stop agents re-grepping the codebase, scaffold or refresh a PROJECT.md / CLAUDE.md memory section, or cut cold-start rediscovery cost. Prose context only — never code, config, or data.
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。
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
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。
Liminal space and Backrooms art direction for Blender with empty transitional architecture, wrong familiarity, and endless repetition.
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。
Brutalist and concrete-monument mood direction for Blender architecture and scenes with raw concrete, monumental scale, and austere composition.
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。
Architectural visualization in Blender for interiors/exteriors with real-world scale, camera composition, PBR materials, and still/animation delivery via MCP.
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。
AAA environment art for modular kits, buildings, terrain, vegetation, architecture, and scene composition. Use for game-optimized environments, storytelling through space, and modular asset pipelines in Blender via MCP.
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 code changes against project architecture, style, and conventions
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。
Reconstruct and report long-running or multi-turn research, architecture questions, reviews, decisions, completion results, and status as a clear, self-contained brief. Use when a reader must re-enter earlier context, understand the real question and its relationships, distinguish verified facts from judgment and open evidence, or make a decision without reconstructing the work log. Quote the relevant original user wording before substantive analysis, keep one coherent main line, use spatial diagrams when relationships matter, and finish with an explicit decision boundary and practical next step.
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.
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Research why neural architectures and training methods work through forward computation, geometry, gradients, optimization dynamics, historical experiments, and competing explanations. Use for deep mechanism questions about neural networks, AI models, layers, representations, or training; explain the meaning in plain language with evidence and explicit limits.
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Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about AI coding agents, agent runtimes, or similar internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
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。