「space」の検索結果

Linearizing nonlinear dynamics around operating points for control design.

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。

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

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。

Comprehensive clinical laboratory data harmonization for multi-source healthcare analytics. Convert between US conventional and SI units, standardize numeric formats, and clean data quality issues. This skill should be used when you need to harmonize lab values from different sources, convert units for clinical analysis, fix formatting inconsistencies (scientific notation, decimal separators, whitespace), or prepare lab panels for research.

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 checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.

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。

Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.

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 starting feature work that needs isolation from current workspace or before executing implementation plans.

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 run heavy or GPU work on Modal (the cloud compute platform) — writing a Modal function in the workspace, running it with the user's own `modal` CLI + token, and bringing results back. Data-to-compute for jobs too big for the laptop, without a Slurm cluster.

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 whenever you run statistical analysis for the social sciences (regression, hypothesis tests, econometrics) or read Stata (.dta) / SPSS (.sav) data in this workspace. Enforces an execute-don't-interpret boundary (surface estimates, don't volunteer causal claims), checks the analysis against a preregistration plan for HARKing, verifies reproducible seeds, and reproduces .dta/.sav estimates via R. Flags integrity risks; never certifies the analysis is sound.

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 whenever you generate or review a chart, plot, table, or paper figure in this workspace, including work delegated by paper-writing, literature-survey, and experiment skills. Applies the Open Science publication style, enforces readable final-size layout for figures and tables, and rejects generic diagram-tool output as a publication figure. Interactive Plotly/HTML may be used for exploration, but paper delivery requires a static publication-ready export.

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 review, verify, or audit a report, manuscript, or analysis in the workspace for traceability — resolving citations, flagging numbers with no source, and checking figures against the code that generated them. Emits a structured review block the app renders as reviewer findings. Verifies traceability, never "correctness".

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 run, submit, monitor, or cancel a job on a remote machine over SSH — their own GPU/CPU server, a workstation, or a Slurm cluster ("the cluster", a login node, "my 3090 box", "the compute server"). Picks a saved machine, runs the work directly over SSH (or via Slurm when present), tracks it, and fetches results back into the workspace.

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。

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.

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。

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

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。

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

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。

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices. Expert in the latest Go ecosystem including generics, workspaces, and cutting-edge frameworks. Use PROACTIVELY for Go development, architecture design, or performance optimization.

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。

Searches, installs, updates, and lists skills from the Antigravity Skill Vault. Use when choosing or managing workspace or global skills through the npm CLI.

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。

Korean and French screenwriting practice (韩国/法国编剧方法) — from the international masterclass; Oh Seung-uk (Christmas in August, The Shameless; field research in disguise, "write the emotion", first act and last act first, spaces as skeleton, reading to hostile listeners, surviving producers), Choi Seok-hwan (King and the Clown; genre as promise to the audience, "story = deepening crisis + intensifying desire", two reversals and bittersweet endings, the producer/director/writer trio), and Frédéric Auburtin (Paris je t'aime; dialogue last, Italian-style table reads, "12 lines not 13", dignity for characters, originals born from commissions, editing by emotion). Use when working in a Korean-style commercial drama or genre film, a French auteur/commission context, when planning field research, when a producer relationship is the problem, or when you need the Korean "three live together" development model or the French "emotion first, structure second" editing approach.

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 why Claude Code is (or isn't) prompting for permission. By default reads only repo-local layers (CLI project, CLI project-local, VSCode workspace). Host-global layers (CLI user `~/.claude/`, VSCode user settings) are read ONLY when the user explicitly confirms — those files may contain unrelated paths or secrets. Use when user says "why is it asking me to approve?", "permission check", "why am I getting prompts?", "bypass isn't working", "check my permissions". Read-only diagnostic.

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。

全域内容搜索｜当提到小红书/B站/抖音关键词搜索、笔记/视频详情、评论、博主/UP主作品监控时使用。优先基于 Agent Reach / OpenCLI / bili-cli / 公开只读接口访问；Agent Reach 不可用时，小红书可用 Guaikei API 作为最后兜底。

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。

将用户提供的文章、笔记、教程、SOP、清单、网页内容或本地文档，拆解并排版成小红书 3:4 多页图文 HTML。默认生成一个包含 6 张以上 1080×1440 页面、可逐页截图的完整自包含 HTML；支持 62 种品牌设计风格，开工前向用户提供匹配的风格候选和 6/7/8/9 张页数方案供选择。适用于“做小红书图文”“把内容转成小红书卡片”“生成多页小红书 HTML”“做 3:4 知识卡片”“根据文章排成小红书组图”“做教程图文”“做可截图 HTML”等请求。

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。

科技/AI/互联网领域的公众号 10 万+ 爆款标题生成器。输入一篇文章、一段内容或一个主题，先建内容简报，再按多种方法产出多个候选标题，逐个评分、标风险、按用途分角色推荐，并给 A/B 测试建议。当用户说"起标题""想个爆款标题""这篇文章叫什么好""标题优化""标题改写""多组标题""标题评分""10万+标题"时触发。方法论提炼自 100 篇真实科技类爆文标题。

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。

为公众号文章创作打造的专业数据洞察工具。全网持续收录每日爆款文章，收录依据：低粉高阅读、阅读靠前、数据增长中、原创靠前，助力号主获取数据参考。

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。

Fetch and analyze WeChat Official Account hot articles / 公众号爆款文章 by sector or keywords. Use when the user asks for 爆款文章分析, 赛道爆款, 公众号爆款数据, reading counts, likes, shares, comments, title patterns, writing style, 爆款原因分析, or writing references for content creation.

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。

公众号短文写作（1000 字以内，纯文字不配图）。把一个观察、一次实测、一段思考写成短平快的推送，或把长文/素材压成短文。核心是一套风格规则：第一人称不说教、去 AI 腔、靠分段做节奏、收尾落到具体画面。当用户说"写个短的""公众号短文""一千字以内""随手写一条""这事写个短篇""压成短文""不配图那种"时触发。

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。