クラウド、CI/CD、監視、デプロイ（6,693 件）
概要と使いどころ
Send prints to Bambu Lab printers through Bambu Connect, Bambu Lab's official app for printing from other software, or Bambu Studio. Use when the user wants to print a sliced `.gcode.3mf`, a Bambu `.gcode` or an unsliced model on a Bambu Lab printer, over Bambu Cloud or LAN. The agent opens the file in the app; the user picks the printer and starts the print there.
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。
Guide safe use of text_editor_remote for reading, writing, and patching files on the connected A0 CLI host. Use when the user asks to inspect or edit files on their computer, local files, CLI host files, or files that are explicitly not Docker/server files.
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。
Control Agent Zero's Docker/Xpra desktop and GUI apps; not the user's host computer.
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。
Scrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter account operations like posting, threads, or bookmarks (those need a dedicated X API client), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).
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。
Renders the current session's output (analysis, research, red team, report, plan) as an extremely well-designed, self-contained HTML artifact via a deterministic renderer — the model distills content into typed JSON, the tool owns all layout/typography/color. USE WHEN /HTML, HTML artifact, render this as HTML, make this an HTML page, artifact of this analysis, designed HTML output. NOT FOR deployed websites or web apps (build the project directly), web UI design systems (use Webdesign), static images or diagrams (use Art), or writing the underlying analysis itself (run the analysis first, then /HTML renders 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。
Real Chrome/Brave + macOS Computer Use from inside the browser — zero CDP fingerprint, real sessions; mandatory for visual deploy verification. Drive clickwork yourself. USE WHEN verify deploy, confirm UI, screenshot verification, computer use, macos automation, debug web, troubleshoot, visual check, motion/animation bug, jank, transition stutter, scrub a flow, console logs/errors, runtime/JS/react errors, mismatch warning, network traffic/log, HAR/pcapng export, hydration/blank-page debug, flash then blank/page broken, why is this not working/what's happening on the page, authenticated page, bot detection bypass, reproduce bug, drive native app, about to ask the operator to click/navigate/fill a form/log in/approve OAuth, OAuth consent flow, complete a web login, do this in your browser. NOT FOR residential-proxy crawling (BrightData) or social actor scraping (Apify).
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。
Drives cmux as an agent cockpit to boot, race, and monitor visible agent teams. Mac-only. USE WHEN cmux, agent cockpit, boot an agent team, orchestrate agents, three-tier orchestration, agent race, needle-in-haystack hotfix, agent fleet, 2x2 fleet, watch/monitor my agents, scale compute to scale impact, send a prompt to a running agent, multiplexer, terminal cockpit, orchestrator lead worker. NOT FOR one-shot in-harness subagents with no terminal to watch (use Agent/Workflow), the Pulse dashboard itself (cmux feeds it, use Pulse), browser deploy-verification (use Interceptor), or Linux/Windows (cmux is Mac-only — use tmux).
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。
OpenTelemetry-backed tracing, structured logs, metrics with rollups, alerts, sampling, and baggage for the engine — emit and query telemetry through `engine::*` functions and react to logs with a `log` trigger.
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。
Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or local WhisperX / cloud Whisper fallback), and hands the result to the agent so it can answer questions about what's in the video. With a Gemini API key, Google's agentic video model watches the full video 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。
Terraform IaC expert for providers, modules, state management, and planning
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。
System administration expert for Linux, macOS, Windows, services, and monitoring
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。
CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation
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。
AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS 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。
Ansible automation expert for playbooks, roles, inventories, and infrastructure management
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。
Docker expert for containers, Compose, Dockerfiles, and debugging
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。
Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability
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。
Microsoft Azure expert for az CLI, AKS, App Service, and cloud infrastructure
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。
Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
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。
Kubernetes operations expert for kubectl, pods, deployments, and debugging
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。
Helm chart expert for Kubernetes package management, templating, and dependency management
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。
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot docker", "langbot compose", "langbot kubernetes", "langbot config.yaml", "langbot box runtime", "langbot global api key".
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。
This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.
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。
This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.
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。
Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the `wren` CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue, customers, orders), wants to install / set up Wren Engine, connect a new database, connect SaaS data via dlt (HubSpot, Stripe, Salesforce, GitHub, Slack), generate or regenerate an MDL project from a database schema, enrich a project with business context (enum meanings, units, cubes like ARR / DAU / churn), or turn a project's context layer into a shareable GenBI web app / dashboard and deploy it to Vercel or Cloudflare. Triggers: 'install wren', 'set up wren engine', 'connect database to wren', 'connect SaaS to wren', 'load hubspot / stripe / salesforce data', 'generate mdl', 'scaffold wren project', 'enrich wren context', 'augment my project', 'add cubes', 'build a dashboard', 'make a shareable analytics app', 'deploy my context layer as a web app', 'genbi app', 'wren onboarding', 'wren usage', 'wren generate mdl', 'wren dlt connector', 'wren enrich context', 'wren genbi'.
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。