「how to」の検索結果

ゲームの企画を必要な仕組みに分解し、見落としやすい要素、仕組み同士の依存関係、開発段階ごとの優先度を整理。個別の設計に進む順番を一覧にまとめます。

• ゲーム企画に必要な仕組みを洗い出したいとき
• 相互依存や設計の難所の確認
• 最小限の試作に必要な範囲の整理

コードや変更履歴などの証拠をもとに、現在の仕組みや設計の経緯、一定期間の作業内容を説明します。読み手と用途に合わせ、確認できた事実と推測、不明点を区別します。

• 既存機能の仕組みを理解したいとき
• 設計や変更の理由を知りたいとき
• 一定期間の作業の振り返り

不具合報告や機能要望、PRの内容を、現在の問題と望ましい動作が伝わる短いIssueに整理します。必要な証拠を残し、実装の細部に偏らない平易な文章に整えます。

• 長い不具合報告を短くしたいとき
• PRから対応するIssueを作りたいとき
• 新機能の利用体験を整理したいとき

コードの呼び出し関係や依存関係を、構築済みのグラフから調べます。複数ファイルにまたがる不具合調査、変更の影響確認、リファクタリングやレビューを支援します。

• 未知のコードの呼び出し関係を知りたいとき
• 複数ファイルにまたがる不具合調査
• 名前変更や削除の影響を調べたいとき

GitButlerのブランチやPRに関連する過去のエージェント作業を、保存された会話履歴から把握するスキル。議論や試行、変更の経緯を要約し、必要な箇所を詳しく確認します。

• 現在のブランチの作業を引き継ぎたいとき
• PRに関連する議論を振り返りたいとき
• 過去の変更理由を把握したいとき

Guide a new Kortix user through their first session: set expectations about what Kortix is, turn a vague ask into a strong first prompt, deliver one real result, then surface deeper capabilities (connectors, memory, triggers, subagents, marketplace) and plant a retention hook. Use when the user is new, asks 'what can you do / how does this work / where do I start', sends a vague or exploratory first message, or has no prior history in this project. Do NOT use when they arrive with a specific, well-formed task — just 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。

Build, deploy and operate Kortix Apps through the pre-authenticated CLI or SDK: static sites and SPAs, Dockerfile or OCI servers, workers, and stateful backends (a database, a Convex backend) with persistent volumes, snapshots and built-in Kortix sign-in. Use when the user asks to publish, host, deploy, preview, inspect, scale, wake, suspend, roll back, debug, or remove an App; asks for a database, an API, a backend, a data model, auth, or 'store this'; asks for an internal tool, business app, CRM, tracker, dashboard, portal, or any app the team logs in to; before writing any Convex code; or asks what an App costs or how it runs.

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 to build desktop applications with GPUI Kit, the Rust framework published as the gpui-kit crate (GPUI plus gpui_kit::component, gpui_kit::base, gpui_kit::assets). Use when setting up a gpui-kit app, choosing or using a component (Button, Input, Select, Dialog, Sheet, Tabs, Sidebar, List, DataTable, Tree, Chart, etc.), handling component state, theming, or window overlays, and for GPUI mechanics: actions and keybindings, async tasks, contexts, custom elements, entities, events, focus, global state, layout and styling, ElementId, and tests including UI integration testing. Holds the normative Coding Guides: read them before any architecture, state-ownership, public API, naming, or testing decision. Pairs with the gpui-kit-design-guides skill for the Design Guides.

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。

Turn a project directory or a website URL into a short, shareable launch video with music, motion, and share copy. One file, no bundled assets — built entirely by the model with the tools already on the machine. Use when someone says "/brag-slim", "let's /brag about this", "brag about a website", "make a launch video", or wants to show off what they built. If the /brag skill is also installed, let /brag handle those phrases; it hands off here on Opus 5.5.

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。

Launch and iterate on apps/mobile from a cloud sandbox (no local Xcode or simulator) on an EAS cloud iOS simulator. Use when asked to run, start, open, or show the mobile app from a cloud workspace, or to verify a mobile change there. On a machine with real Xcode, use mobile-sim-verification 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。

Personalized audit that teaches the advanced Superset features the user isn't using yet (automations, parallel agents, tasks, multi-host, terminal remote control, custom commands, MCP, pages) and sets them up live. Use when the user wants to get more out of Superset, asks "what else can Superset do", "how do I 10x my workflow", "what am I missing", or wants to learn a specific Superset feature.

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。

Required before calling image_generate. Create and edit images from a prompt — generate an image, make a picture / logo / illustration / icon / banner / poster / thumbnail / hero image / mockup / product shot / social graphic, or edit / restyle / combine existing images from reference images. Uses OpenAI gpt-image-2 through the Hive image service, billed to the user's Hive credits like an LLM call (no API key needed). Teaches the exact call shape, the quality/cost tradeoff (quality="low" is the default and cheapest), reference-image editing, how to show the result to the user with attach_file, and the failure modes (out of credits, model unavailable, moderation).

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。

Deep code analysis with ASCII visualizations showing structure, flow, and state transitions. Use when analyzing patches/diffs, explaining classes or subsystems, understanding code architecture, reviewing changes for inconsistencies, or when asked to visualize how code works. Provides before/after diagrams, data/control flow, concurrency analysis, assumptions, and failure modes. Triggers on explain this patch/code/class, how does X work, show me the flow, visualize this change, code review requests, or proactive analysis during PR reviews.

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。

Search watched registries for community legal skills, showing matches with descriptions and offering to show the full SKILL.md before install. Use when the user says "browse", "search skills", "find a skill for", "what's out there for", or wants to add a new registry to the watchlist.

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。

Trace how a contract has changed across its base agreement and all amendments — either a summary of all changes over time, or a provision trace for a specific clause. Use when the user says "what changed in this contract over time", "show me the amendment history", "where's the latest [clause]", "how has [provision] evolved", or uploads multiple versions of an agreement.

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 designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging business logic — those are adjacent moments this skill does not serve. Historical 2024–2025 snapshot; not normative for present-day frontier models — see the Status section.

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 have a task and must decide WHO does it — yourself, a spawned subagent, or another agent in the topology that already holds the context. The rule: how much would a blank slate have to read in to do this correctly? A lot → route to a context-holding agent; a little → subagent; unsure → a real agent or yourself. NOT the mechanics of fanning out (that's dispatching-parallel-agents / subagent-driven-development) — this is the who/whether decision, and the failure mode that makes teams abandon subagents.

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。

Help engineers evaluate a local skill or plugin, explain why it scored that way, show what to fix first, measure real token usage, benchmark starter scenarios, or decide what to run next. Use when the user says things like "evaluate this skill", "give me an analysis of the game dev skill", "why did this score that way", "what should I fix first", "measure the real token usage of this skill", or "what should I run next?".

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。

Choose and apply automatic layout strategies for node-link diagrams and connected-node visuals. Use when the user asks how to auto-arrange nodes, reduce line crossings, route edges, avoid overlaps, stabilize layout, or choose graph-layout algorithms for network diagrams, dependency graphs, database schema diagrams, ERDs, state machines, decision trees, flow diagrams, box-and-line editors, or other line-connected nodes.

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 guided and interactive virtual tours through a 3D environment with authored camera paths, room and floor-plan navigation, orbit inspection, smooth mode handoffs, and progressive loading. Use for architectural walkthroughs, real-estate tours, museums, showrooms, and explorable spaces built with Three.js or a similar renderer.

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。

Write Python in n8n Code nodes (native Python, `language` pythonNative, n8n 2.x). Use when the user explicitly wants Python in a Code node, when migrating old Pyodide/"Python (Beta)" code that used _input/_json/_node/_now, or when a Python Code node fails with NameError, "Security violations detected", "Import of standard library module … is disallowed", "__build_class__ not found", "A 'json' property isn't a dictionary", or "Python runner unavailable". Covers the only two variables (_items/_item), dict-only access, imports blocked by default, the sandbox's denied builtins, accepted return shapes, and how errors interact with onError. JavaScript is the default for Code nodes — native Python has no n8n helpers and, by default, no imports. EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).

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 to run a non-trivial change end to end with the CCG role tools (ccg_analyze / ccg_design / ccg_build / ccg_debug / ccg_optimize / ccg_review / ccg_test) and the verify-* quality gates. Use when a task is a whole feature, a refactor, a bug whose cause is not yet known, or any change large enough that one straight-through attempt would be a guess.

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 and implement web animations that feel natural and purposeful. Use this skill proactively whenever the user asks questions about animations, motion, easing, timing, duration, springs, transitions, or animation performance. This includes questions about how to animate specific UI elements, which easing to use, animation best practices, or accessibility considerations for motion. Triggers on: easing, ease-out, ease-in, ease-in-out, cubic-bezier, bounce, spring physics, keyframes, transform, opacity, fade, slide, scale, hover effects, microinteractions, Framer Motion, React Spring, GSAP, CSS transitions, entrance/exit animations, page transitions, stagger, will-change, GPU acceleration, prefers-reduced-motion, modal/dropdown/tooltip/popover/drawer animations, gesture animations, drag interactions, button press feel, feels janky, make it smooth.

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。

Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer.

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。