Checkly CLI 讓 AI 代理程式能從 JavaScript 或 TypeScript 程式碼庫中定義、測試並部署合成監控。當監控需要與 Playwright 測試、API 檢查和 CI 工作流程共存，而非透過 UI 手動配置時，此工具特別有用。
Checkly CLI 是一款功能強大的工具，可將合成監控作為程式碼進行管理。它支援 AI 代理程式直接從 JavaScript 或 TypeScript 程式碼庫定義、測試和部署監控檢查。這項技能對於需要將監控邏輯與 Playwright 瀏覽器測試、API 端點檢查以及 CI/CD 管線緊密結合的開發者來說特別有價值。在 Cursor、Claude Code 和 Codex 等平台上，代理程式可以使用簡單的 npm 指令如 `npx checkly test` 來驗證檢查，並使用 `npx checkly deploy` 進行部署。Checkly CLI 支援在 Checkly 雲端或透過私有位置在您自己的網路中執行。透過將監控設定從手動 UI 配置轉變為版本控制的程式碼，它確保了不同環境間的一致性、可重複性和協作性，讓合成監控管理達到與應用程式開發相同的嚴謹程度。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/checkly-cli-monitoring-as-code-for-api-and-browser-checksCheckly CLI 讓 AI 代理程式能從 JavaScript 或 TypeScript 程式碼庫中定義、測試並部署合成監控。當監控需要與 Playwright 測試、API 檢查和 CI 工作流程共存，而非透過 UI 手動配置時，此工具特別有用。
npm、pip、go、java
請使用符合您環境的官方安裝或設定路徑：
基本使用或入門說明：
在雲端或內部部署執行。 在 Checkly 雲端執行，或使用私有位置在您的網路中執行
使用 npx checkly test 在本機或 CI 中執行您的檢查
擷取自官方文件：https://raw.githubusercontent.com/checkly/checkly-cli/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.