Control a headless browser to navigate URLs, click elements, fill forms, extract content from JavaScript-rendered pages, take screenshots, and automate end-to-end web workflows.
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。
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概要と使いどころ
Control a headless browser to navigate URLs, click elements, fill forms, extract content from JavaScript-rendered pages, take screenshots, and automate end-to-end web workflows.
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。
Publish and schedule content to social media platforms (Twitter/X, Facebook, Instagram, LinkedIn) via the MCP bridge schedule_social_post tool as primary. The Design Stack media worker API is the fallback for advanced platform management. Covers platform-specific formatting, media attachment, scheduling, and WordPress-to-social publishing workflows. Use when posting to social platforms, scheduling future posts, attaching media to posts, checking optimal timing, or debugging API delivery failures.
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。
Manage service components and approval workflows in the NV oOS Pro Toolkit. Covers service component registration, dependency tracking, approval request lifecycle, and workflow approval gates. Use when registering service components, tracking service dependencies, managing approval requests, or configuring workflow approval 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。
Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.
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 asked to ship a SaaS MVP, audit application security, build an AI agent, run browser QA, or design a domain model with multiple skills and verified checkpoints.
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。
Set up alerting rules, configure on-call rotations, and manage incident response workflows.
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。
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, an
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 production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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。
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry 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。
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where
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。
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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。
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' 'copy this edit,' 'match this video style,' 'reverse-engineer this video,' 'edit like this reference,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social. For paid video ad creative, see ad-creative.
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。
Email marketing operations and automation for B2B SaaS. Use this skill for newsletter strategy, email automation sequences, lifecycle campaigns, nurture workflows, onboarding sequences, deliverability optimization, email copywriting, lead scoring, marketing automation platform setup, and cold-email sending infrastructure — secondary sending domains, SPF/DKIM/DMARC, and domain warmup. Also triggers on: email, newsletter, drip campaign, lifecycle, nurture, onboarding sequence, deliverability, email automation, lead scoring, marketing automation, our emails are going to spam, SPF, DKIM, DMARC, sender reputation, sending domain, cold email domains, domain warmup, mailbox setup, blacklist, bounce rate.
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。
Monitor GitHub workflows, propose fixes for failures, and report status
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。
Audit OpenClaw frontend code and rendered interfaces for Carapace drift, token misuse, primitive reimplementation, accessibility problems, responsive defects, and off-brand copy. Use for design reviews, compliance checks, or scheduled audit-and-fix workflows.
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。
Create an Estuary derivation with custom SQLite state (internal tables) to make per-document decisions based on accumulated history — account balances, inventory levels, approval workflows, deduplication. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "stateful derivation", "derivation to track balance", "transformation to approve based on state", "derive an approval workflow", "deduplication derivation", or "build a stateful derivation".
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。
AI-driven Flutter E2E testing via VM Service CLI. Control running Flutter apps in debug mode for smoke tests, regression checks, exploratory testing, and UI automation. Trigger when user mentions E2E testing, UI automation, smoke tests, integration testing, test automation, controlling Flutter apps, VM Service interaction, debugging UI flows, automated regression testing, CI sanity checks, or testing native dialogs/permissions/WebViews. Supports stateful named instances or stateless direct URI connections. Ideal for rapid test feedback, AI agent workflows, element discovery, screenshot capture, log collection, and scriptable UI interactions (tap, scroll, enterText). Use for troubleshooting flaky tests, automating repetitive manual tests, verifying app behavior after merges, or setting up automated QA 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。
Automates Flutter iOS and Android deployment using Fastlane. Use when setting up `fastlane match` for iOS certificate and provisioning profile management, automating TestFlight uploads via `upload_to_testflight`, pushing Android releases to Google Play via `upload_to_play_store`, auto-incrementing build numbers, writing Fastfile lanes for Flutter release workflows, integrating Fastlane with GitHub Actions or Codemagic, or configuring App Store Connect API Key and Google Play Service Account JSON credentials.
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。
Install, verify, and operate mdoctor on macOS and Debian/Arch-based Linux. Use when users ask to set up mdoctor, install dependencies, test branch builds on the current machine, run first health checks, troubleshoot install/runtime issues, or perform safe cleanup/fix workflows with mdoctor commands.
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。
rebase、cherry-pick、bisect、worktree、reflogを含む高度なGitワークフローをマスターし、クリーンな履歴を維持し、あらゆる状況から回復。複雑なGit履歴の管理、フィーチャーブランチでの協働、リポジトリ問題のトラブルシューティング時に使用。
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
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 end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
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 LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
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。
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
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。