chrome-devtools

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill chrome-devtools
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summary

Expert-level browser automation, debugging, and performance analysis via Chrome DevTools protocol.

  • Four tool categories cover navigation, interaction, debugging, and performance profiling across 25+ commands
  • Snapshot-first workflow provides element UIDs for reliable targeting; screenshots offer visual verification
  • Network request inspection, console message analysis, and JavaScript evaluation support troubleshooting and validation
  • Performance tracing with Core Web Vital analysis i
skill.md

Chrome DevTools Agent

Overview

A specialized skill for controlling and inspecting a live Chrome browser. This skill leverages the chrome-devtools MCP server to perform a wide range of browser-related tasks, from simple navigation to complex performance profiling.

When to Use

Use this skill when:

  • Browser Automation: Navigating pages, clicking elements, filling forms, and handling dialogs.
  • Visual Inspection: Taking screenshots or text snapshots of web pages.
  • Debugging: Inspecting console messages, evaluating JavaScript in the page context, and analyzing network requests.
  • Performance Analysis: Recording and analyzing performance traces to identify bottlenecks and Core Web Vital issues.
  • Emulation: Resizing the viewport or emulating network/CPU conditions.

Tool Categories

1. Navigation & Page Management

  • new_page: Open a new tab/page.
  • navigate_page: Go to a specific URL, reload, or navigate history.
  • select_page: Switch context between open pages.
  • list_pages: See all open pages and their IDs.
  • close_page: Close a specific page.
  • wait_for: Wait for specific text to appear on the page.

2. Input & Interaction

  • click: Click on an element (use uid from snapshot).
  • fill / fill_form: Type text into inputs or fill multiple fields at once.
  • hover: Move the mouse over an element.
  • press_key: Send keyboard shortcuts or special keys (e.g., "Enter", "Control+C").
  • drag: Drag and drop elements.
  • handle_dialog: Accept or dismiss browser alerts/prompts.
  • upload_file: Upload a file through a file input.

3. Debugging & Inspection

  • take_snapshot: Get a text-based accessibility tree (best for identifying elements).
  • take_screenshot: Capture a visual representation of the page or a specific element.
  • list_console_messages / get_console_message: Inspect the page's console output.
  • evaluate_script: Run custom JavaScript in the page context.
  • list_network_requests / get_network_request: Analyze network traffic and request details.

4. Emulation & Performance

  • resize_page: Change the viewport dimensions.
  • emulate: Throttling CPU/Network or emulating geolocation.
  • performance_start_trace: Start recording a performance profile.
  • performance_stop_trace: Stop recording and save the trace.
  • performance_analyze_insight: Get detailed analysis from recorded performance data.

Workflow Patterns

Pattern A: Identifying Elements (Snapshot-First)

Always prefer take_snapshot over take_screenshot for finding elements. The snapshot provides uid values which are required by interaction tools.

1. `take_snapshot` to get the current page structure.
2. Find the `uid` of the target element.
3. Use `click(uid=...)` or `fill(uid=..., value=...)`.

Pattern B: Troubleshooting Errors

When a page is failing, check both console logs and network requests.

1. `list_console_messages` to check for JavaScript errors.
2. `list_network_requests` to identify failed (4xx/5xx) resources.
3. `evaluate_script` to check the value of specific DOM elements or global variables.

Pattern C: Performance Profiling

Identify why a page is slow.

1. `performance_start_trace(reload=true, autoStop=true)`
2. Wait for the page to load/trace to finish.
3. `performance_analyze_insight` to find LCP issues or layout shifts.

Best Practices

  • Context Awareness: Always run list_pages and select_page if you are unsure which tab is currently active.
  • Snapshots: Take a new snapshot after any major navigation or DOM change, as uid values may change.
  • Timeouts: Use reasonable timeouts for wait_for to avoid hanging on slow-loading elements.
  • Screenshots: Use take_screenshot sparingly for visual verification, but rely on take_snapshot for logic.
how to use chrome-devtools

How to use chrome-devtools on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add chrome-devtools
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill chrome-devtools

The skills CLI fetches chrome-devtools from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/chrome-devtools

Reload or restart Cursor to activate chrome-devtools. Access the skill through slash commands (e.g., /chrome-devtools) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.639 reviews
  • Ama Ghosh· Dec 20, 2024

    chrome-devtools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Benjamin Kim· Dec 20, 2024

    chrome-devtools has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Park· Dec 4, 2024

    chrome-devtools is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aditi Ndlovu· Nov 23, 2024

    Solid pick for teams standardizing on skills: chrome-devtools is focused, and the summary matches what you get after install.

  • Ama Anderson· Nov 11, 2024

    Registry listing for chrome-devtools matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Naina Brown· Nov 11, 2024

    Keeps context tight: chrome-devtools is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aditi Jackson· Oct 14, 2024

    chrome-devtools has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ama Mehta· Oct 2, 2024

    chrome-devtools reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kaira Iyer· Oct 2, 2024

    chrome-devtools is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Naina Thompson· Sep 21, 2024

    I recommend chrome-devtools for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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