'install cli' 검색 결과

Browser automation via Playwright CLI for navigating pages, interacting with elements, capturing screenshots, and testing web applications through shell commands. Use when user mentions "playwright", "browser automation", "take a screenshot", "browser testing", "headless browser", "web testing", "fill out a form", "e2e test", or needs to automate browser workflows from the command line. This is a pre-installed CLI tool — do NOT install anything via npx or npm. Invoke this skill first, then use playwright-cli bash commands.

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Use the Skmtc CLI to scaffold projects, install or clone generators from JSR, configure schema sources and enrichments, and produce code artifacts from an OpenAPI v3 or GraphQL SDL schema. Teaches the workspace mental model (`<root>/.skmtc/<project>/`, client.json, bundle, manifest) and the agent contract (strict text / strict JSON modes, exit codes, recipe errors, `agent-context` + `doctor`); the command surface itself is discovered from the binary — `skmtc --help`, `skmtc <cmd> -h` — rather than carried in this skill. Use this skill when the user asks to "run skmtc", "generate code from an OpenAPI schema", "install a skmtc generator", "scaffold a skmtc project", "watch a skmtc project", "configure enrichments", "publish a stack", "deploy to skmtc-hub" (the command is `publish`; there is no `deploy`), "skmtc in CI", or invokes any CLI subcommand. For *authoring* a generator package (Projections, Snippets, transform functions), defer to `skmtc-generator`. When something is broken (no output, wrong output, error messages, a failed bundle build), verify before proposing a fix: read the manifest and the parse issues, and reproduce the failure first.

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**導入済みの sparkle-design プロジェクト**で、ユーザーが目指したい「雰囲気」を 自然言語で伝えたら、`sparkle.config.json` の primary / font-pro / font-mono / radius を 書き換えて `sparkle-design-cli generate` まで実行するスキル。選択肢は Theme Settings Figma プラグインが扱える範囲（primary 7 色 / radius 8 段階 / fonts 11 種）に揃えて おり、Figma と CLI の見た目がずれません。**未導入プロジェクトの初期セットアップは `setup-sparkle-design`（internal 環境では `install-sparkle-design`）を使うこと。** 「雰囲気を変えたい」「もっとポップに」「ビジネスライクに」「高級感を出したい」 「primary を変えたい」「角丸をもっと丸く」「フォントを変えたい」「テーマを提案して」 「テナントごとに配色を変えたい」「役割ごとに色を出し分けたい」（後者2つは複数 バリアント要望として範囲外に誘導するために発動） で発動。English: "change the vibe", "make it more playful", "make it more business-like", "adjust the theme", "change primary color".

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AI 에이전트와 웹 화면 디자인을 검토하는 지침입니다. 하위 명령 23개와 피할 표현의 예시를 제공하며, 전용 CLI로 고정 규칙 61개에 따른 검사도 수행합니다.

• 웹 화면 디자인 검토
• 글자 배치·배색·레이아웃 조정
• 과도하게 쓰이는 디자인 표현 점검

Orca의 명령줄 인터페이스로 Linear 이슈를 검색하고 진행 상태를 변경합니다. 상위 이슈에 연결된 후속 티켓을 만들고 PR/MR 링크와 완료 댓글을 기록합니다.

• Linear 이슈에서 작업 시작
• 티켓의 진행 상태 업데이트
• PR/MR 링크로 완료 보고

터미널에서 AI 서비스 연결을 나열하고 연결 테스트, API 키 갱신, 사용 현황 조회를 수행합니다. 여러 연결의 일괄 검사와 외부 통신 없는 설정 검증도 지원합니다.

• 활성 연결을 한꺼번에 테스트할 때
• 외부 통신 없이 설정을 검증할 때
• 연결 인증 정보와 API 키를 갱신하고 관리할 때

Browse and search OmniRoute's AI model catalog from the command line. Filter by provider or capability, check model aliases, validate compatible models before adding them, and maintain manually registered model details.

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• Finding AI models by provider or capability
• Checking model aliases and name variants
• Validating a model before adding it

명령줄에서 AI에 전달할 정보의 처리 설정과 RTK 필터를 조정합니다. OmniRoute 연결을 전환하고 JSON 설정과 대화 세션을 관리합니다.

• 토큰 예산과 필터 조정
• 저장된 서버 연결 전환
• 연결 설정을 JSON으로 가져오기와 내보내기

Find agent skills on GitHub, score their relevance using rule-based checks, scan for malware and embedded secrets, and import them into supported agent directories, including Hermes, Claude Code, Gemini CLI, and OpenCode.

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• Find community skills for a specific task
• Compare skills using relevance scores
• Check for malware and embedded secrets

Use the command line to send tasks to OmniRoute's A2A server, which supports communication between agents. Inspect execution history and logs, monitor or cancel tasks, and interactively test the JSON-RPC 2.0 communication protocol.

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• Check server status and available skills
• Invoke a skill with JSON input
• Inspect task history and logs

Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.

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• Sending a prompt from a terminal
• Using file contents as a prompt
• Displaying and saving streaming responses

Test omo Codex Light edition in an isolated environment using real Codex and a local mock model. Verify installation, plugin hooks, and terminal startup, with captured evidence and no calls to a real model API.

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• Verify installation and config.toml changes in isolation
• Confirm plugin hooks run during a real Codex turn
• Check terminal interface startup

Create a new native Muse plugin package with its manifest and requested capability files, then validate it using the installed muse CLI. Receive a file inventory, validation results, and an installation proposal for later use.

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• Package skills as a new Muse plugin
• Create a Muse plugin with command templates
• Define hooks or MCP server connections

Operate NVIDIA Nsight Graphics from the command line to capture application frames and GPU activity. Summarize performance traces, analyze existing capture files through ngfx-replay, and check installed versions and compatibility before starting an investigation.

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• Check installed Nsight Graphics versions and compatibility
• Capture frames from a graphics application
• Summarize GPU activity and investigate performance bottlenecks

Research companies from the terminal using a domain name. Intelwatch combines financial data and technology stack detection into readable company profiles, with an optional AI due diligence mode for examining potential acquisition targets.

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• Researching competitors from their company domains
• Preparing company background information for sales
• Running AI due diligence on acquisition candidates

Manage ComfyUI image generation from the command line. Validate workflows, which define generation steps, submit them for execution, monitor queued jobs, inspect available models, and download images from completed runs.

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• Validating and submitting image generation workflows
• Checking or interrupting queued generation jobs
• Listing available models and node types

Control a running iTerm2 workspace from the command line. See what each terminal pane is doing, send commands, read current and past output, arrange windows and tabs, manage tmux integration, and change preferences.

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• See what is running in every terminal pane
• Send commands and read terminal output history
• Create and restore layouts with multiple panes

Extract readable content from web pages with Defuddle CLI, removing navigation, ads, and other clutter. Save the result as Markdown, or retrieve individual details such as the page title, description, and domain.

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• Extracting article text without ads or navigation
• Saving web content as Markdown
• Retrieving a page title, description, or domain

Use Azure's Python transcription client to turn audio files into text and review timestamped results. Covers authentication, installed SDK options, and error handling, while clarifying when streaming or asynchronous batch work needs a different Speech API.

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• Transcribe a local recording with consent
• Review timestamped transcription output
• Check authentication and installed SDK options

Set up and manage DeepTutor from the command line, a text interface for running commands. Run learning tasks, build searchable document collections, manage sessions and notebooks, diagnose installation issues, and launch the server or Web app.

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• Set up DeepTutor and diagnose installation issues
• Build and search a knowledge base from PDFs
• Generate practice questions from learning materials

Find and evaluate a small, compatible set of AI Agent Skills for a multi-step goal. Check existing capabilities, compare candidates for fit and safety, identify overlaps, and prepare recommendations with installation subject to user approval.

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• Choose a set of Skills for a multi-step project
• Audit installed Skills for overlap and conflicts
• Find supporting Skills for writing quality or compliance

Find the QwenPaw documentation and source files most relevant to a question. This skill maps topics such as installation, configuration, skills, and memory to likely reading paths, helping an agent focus its investigation.

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• Finding installation and configuration references
• Locating documentation for skills and MCP
• Tracing memory and multi-agent behavior

Refresh installed NanoClaw channel and agent provider code from its registry branches. Update all integrations or a selected subset, check a structured result report, and validate the updated installation with builds and tests.

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• Refreshing integrations after a NanoClaw update
• Updating selected channels or agent providers
• Updating from a fork with an upstream remote

Connect NanoClaw agents to Microsoft Teams channels, group chats, and direct messages. The skill installs and tests the adapter, then guides bot creation, credentials, app installation, and connecting the assistant to a selected Teams user.

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• Consult an agent in a Teams channel
• Use a personal assistant through Teams direct messages
• Talk with a bot in a group chat