이 스킬은 chromedp를 사용하여 Chrome DevTools Protocol을 통해 탐색, DOM 쿼리, 스크린샷, PDF 캡처, 네트워크 인식 대기 및 구조화된 데이터 추출을 수행하는 반복 가능한 브라우저 자동화 워크플로우를 Go 팀에 제공합니다.
이 스킬은 Go 언어 기반의 chromedp 라이브러리를 활용하여 Chrome DevTools Protocol(CDP)을 통해 브라우저를 완전히 제어할 수 있는 자동화 워크플로우를 제공합니다. 개발자는 페이지 탐색, DOM 요소 쿼리 및 조작, 스크린샷 및 PDF 캡처, 네트워크 이벤트 대기, 구조화된 데이터 추출 등을 반복 가능한 방식으로 수행할 수 있습니다. 주로 Go 프로젝트에서 사용되며, chromedp 패키지를 `go get` 명령어로 설치하고 headless-shell Docker 이미지를 활용할 수 있습니다. 이 스킬은 공식 chromedp 문서 및 Agent Skill Exchange에서 확인할 수 있는 예제와 문서를 기반으로 하여, Go 팀이 브라우저 자동화를 효율적으로 구축하고 재사용할 수 있도록 돕습니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/chromedp-go-browser-automation-chrome-devtools-protocol이 스킬은 chromedp를 사용하여 Chrome DevTools Protocol을 통해 탐색, DOM 쿼리, 스크린샷, PDF 캡처, 네트워크 인식 대기 및 구조화된 데이터 추출을 수행하는 반복 가능한 브라우저 자동화 워크플로우를 Go 팀에 제공합니다.
업스트림의 요구 사항 및 주의 사항:
기본 사용법 또는 시작 방법:
sh
$ go get -u github.com/chromedp/chromedp
업스트림 문서에서 추출: https://raw.githubusercontent.com/chromedp/chromedp/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.