「one」の検索結果

Universal desktop application controller for Windows. Automate any desktop app — send messages, click buttons, type text, take screenshots, and interact with native Windows applications. Use this skill when the user asks to: "control my computer", "automate desktop", "send a message on [any chat app]", "click on [something]", "type into [app]", "take a screenshot", "操控电脑", "自动化桌面", "给某某发消息", "打开某某软件", "截个屏", or any task involving interacting with Windows desktop applications. WeChat triggers: "send a WeChat message", "message someone on WeChat", "打开微信发消息", "给某某发微信", "微信发送", "微信发消息", "用微信发", "帮我发微信". Email/Web triggers: "打开邮箱", "发邮件", "send email", "open browser", "操控浏览器", "网页操作". Supports: WeChat, WeCom, DingTalk, Feishu/Lark, QQ, Telegram, Slack, Teams, any browser-based web app, and any other Windows desktop application. Inspired by OpenAI's playwright-interactive skill, combining code-based automation with visual screenshot feedback loops. ROUTING: For web/Electron apps (email, Slack, browser), prefer Playwright with CSS selectors for speed and precision. For native desktop apps (WeChat, QQ, DingTalk), use Win32 API automation.

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Find, build, evaluate, and improve systems using decision models. Use for bounded classification, routing, ranking, Choice/Score/Noul, decision-model composition, evaluation harnesses, prompt/program hill climbing, and Software 3.0 workflows across software, business, organizations, and life. Separate models, code, and human judgment. TypeSafe Jev is the default hosted exemplar. Not for straightforward arithmetic, prose rewriting, or provider setup alone.

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Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.

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Create and publish a recurring client-facing deliverable — SEO or analytics monthly, project status report, audit results — as a branded live page with view tracking. Use when the user says "client report", "monthly report for", "status update for the client", "send this to my client". Not for one-off research shares (use report-publisher) or proposals (use proposal-tracker).

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Use when verifying a story or ticket implementation against its spec and acceptance criteria - per-AC verdicts with file:line evidence and proving tests, code reuse and design conformance, dead code, stale docs, comment discipline. Finds the spec from an explicit path, the ticket key in the branch name, or plan files - and asks rather than guessing. For defect-hunting code review use dotnet-techne-code-review instead. Keywords: story QA, acceptance criteria, spec conformance, AC coverage, definition of done, dead code check, reuse check, comment check, verify story, QA this branch.

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Use when revising or reviewing scientific, technical, or academic manuscripts, proposals, abstracts, reports, or related writing for precision, concision, logical cohesion, citation support, evidence alignment, and objective scholarly tone.

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Diagnose and fix CJK (Korean, Japanese, Chinese) text-wrapping issues in web UIs. Systematically traces mid-syllable breaks, orphaned glyphs, and awkward line splits through a layered fix strategy covering global CSS cascade, component-library overrides, headline balancing, and translation-level phrase binding. Produces an evidence-based diagnosis and verification report before any code change is applied.

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Finalize documentation changes for production readiness by discovering existing conventions, verifying code-doc alignment, reviewing format/terminology/tone consistency, verifying branch/worktree intent, and structuring clean commits with a post-publish branch/worktree cleanup decision. Counterpart of finalize-and-commit for documentation projects.

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Use when rating whether a project, repo, skill, workflow, plugin, agent product or post uses TypeSafe's Jev (System One) model well -- "is this a good use of Jev?", "rate this Jev integration", "jevaluate <url>", or a link to something named after Jev; also when checking whether something that calls itself Jev actually uses it.

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Finds and quotes TypeSafe's docs on Jev, including Noul, Choice, Score and Box questions, models and limits. Use when a question, review, design or claim involves Jev or System One, when briefing a subagent on Jev work, or when relaying a subagent's Jev finding.

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Use when claiming 'done', suggesting a commit, push, or PR — runs the evidence gate so completion claims come from fresh output in this message, not memory or earlier runs.

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When expanding a one-line idea into the 12-block Cinematic Scene Blueprint — optional dialogue + ambient. Triggers 'expand this scene', 'blueprint for X'. 11-block refine → video-director.

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Use when PHPStan, Rector, or ECS output appears — "phpstan says mixed", type errors, "fix code style", "run rector" — even when Eloquent/Laravel/model code is also mentioned.

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Use when tracing the root cause of a resolved incident or recurring bug — 5-whys chain, fishbone categorisation, contributing-factors split — even if the user says 'why does this keep breaking?'.

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Use for deep React analysis: component tree, state flow, props flow, hooks usage, rendering behavior, and React-specific failure patterns.

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When shaping employee onboarding — time-to-productivity, role-by-role program, mentor pairing, 30/60/90 milestones. Triggers on 'design our onboarding', 'why are new hires ramping slow'.

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Use BEFORE saving any .md under .augment/, dist/agent-src*/, or agents/ — scans umlauts, German function words, and German phrases outside DE:/EN: anchor blocks. Hard gate per language-and-tone.

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Use when a diff builds more than the task needs — code that should not exist, a dependency the platform already covers, or a clever form where a flat one reads better. Deletion-hunting, not quality.

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Use when decomposing a company objective into team OKRs, auditing a draft OKR tree, or stress-testing an existing one for measurability and laddering.

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Use when documenting APIs — OpenAPI/Swagger, PHP attributes, Redocly validation, versioned specs — even when the user just says 'document this endpoint' without naming OpenAPI.

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Use when adjudicating an operational go/no-go from typed evidence — a readiness enum with an explicit floor where one red is not-ready, unknown is never green, and no score can average a red away.

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Use when triaging an inbound NDA fast — GREEN/YELLOW/RED so only the hard ones reach a lawyer. Triggers on 'check this NDA', 'can we sign this NDA', 'is this NDA standard'.

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Use when the project's frontend stack is Livewire — dispatched by `directives/ui/{apply,review,polish}.ts`. Covers reactive state, events, lifecycle hooks, and component/view separation.

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Writes Next.js App Router code — Server Components, Server Actions, RSC boundaries, route handlers, caching, and streaming — matching framework conventions and project architecture.

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。