You are acting as a troubleshooting wizard to help the user configure and fix their Chrome DevTools MCP server setup. When this skill is triggered (e.g., because list_pages, new_page, or navigate_page failed, or the server wouldn't start), follow this step-by-step diagnostic process:
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontroubleshootingExecute the skills CLI command in your project's root directory to begin installation:
Fetches troubleshooting from chromedevtools/chrome-devtools-mcp and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate troubleshooting. Access via /troubleshooting in your agent's command palette.
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.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are acting as a troubleshooting wizard to help the user configure and fix their Chrome DevTools MCP server setup. When this skill is triggered (e.g., because list_pages, new_page, or navigate_page failed, or the server wouldn't start), follow this step-by-step diagnostic process:
Your first action should be to locate and read the MCP configuration file. Search for the following files in the user's workspace: .mcp.json, gemini-extension.json, .claude/settings.json, .vscode/launch.json, or .gemini/settings.json.
If you find a configuration file, read and interpret it to identify potential issues such as:
--autoConnect in incompatible environments.If you cannot find any of these files, only then should you ask the user to provide their configuration file content.
Before reading documentation or suggesting configuration changes, check if the error message matches one of the following common patterns.
Could not find DevToolsActivePortThis error is highly specific to the --autoConnect feature. It means the MCP server cannot find the file created by a running, debuggable Chrome instance. This is not a generic connection failure.
Your primary goal is to guide the user to ensure Chrome is running and properly configured. Do not immediately suggest switching to --browserUrl. Follow this exact sequence:
chrome://inspect/#remote-debugging, and make sure the 'Enable remote debugging' checkbox is checked."list_pages tool. This is the simplest and safest way to verify if the connection is now successful. Do not retry the original, more complex command yet.list_pages succeeds, the problem is resolved. If it still fails with the same error, then you can proceed to the more advanced steps like suggesting --browserUrl or checking for sandboxing issues.If the server starts successfully but list_pages returns an empty list or creates a new profile instead of connecting to the existing Chrome instance, check for typos in the arguments.
--autoBronnect instead of --autoConnect.If the server starts successfully but only a limited subset of tools (like list_pages, get_console_message, lighthouse_audit, take_memory_snapshot) are available, this is likely because the MCP client is enforcing a read-only mode.
All tools in chrome-devtools-mcp are annotated with readOnlyHint: true (for safe, non-modifying tools) or readOnlyHint: false (for tools that modify browser state, like emulate, click, navigate_page). To access the full suite of tools, the user must disable read-only mode in their MCP client (e.g., by exiting "Plan Mode" in Gemini CLI or adjusting their client's tool safety settings).
Identify other error messages from the failed tool call or the MCP initialization logs:
Target closed--slim which only enables navigation and screenshot tools).ProtocolError: Network.enable timed out or The socket connection was closed unexpectedlyError [ERR_MODULE_NOT_FOUND]: Cannot find moduleRead the contents of https://github.com/ChromeDevTools/chrome-devtools-mcp/blob/main/docs/troubleshooting.md to map the error to a known issue. Pay close attention to:
--autoConnect handshakes, timeouts, and requirements (requires running Chrome 144+).Based on the exact error and the user's environment (OS, MCP client), formulate the correct MCP configuration snippet. Check if they need to:
--browser-url=http://127.0.0.1:9222 instead of --autoConnect (e.g. if they are in a sandboxed environment like Claude Desktop).chrome://inspect/#remote-debugging) and accept the connection prompt. Ask the user to verify this is enabled if using --autoConnect.--logFile <absolute_path_to_log_file> to capture debug logs for analysis.startup_timeout_ms (e.g. to 20000) if using Codex on Windows.If you are unsure of the user's configuration, ask the user to provide their current MCP server JSON configuration.
If the issue is still unclear, run diagnostic commands to test the server directly:
npx chrome-devtools-mcp@latest --help to verify the installation and Node.js environment.DEBUG=* npx chrome-devtools-mcp@latest --logFile=/tmp/cdm-test.log to capture verbose logs. Analyze the output for errors.If https://github.com/ChromeDevTools/chrome-devtools-mcp/blob/main/docs/troubleshooting.md does not cover the specific error, check if the gh (GitHub CLI) tool is available in the environment. If so, search the GitHub repository for similar issues:
gh issue list --repo ChromeDevTools/chrome-devtools-mcp --search "<error snippet>" --state all
Alternatively, you can recommend that the user checks https://github.com/ChromeDevTools/chrome-devtools-mcp/issues and https://github.com/ChromeDevTools/chrome-devtools-mcp/discussions for help.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
I recommend troubleshooting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
troubleshooting reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: troubleshooting is focused, and the summary matches what you get after install.
troubleshooting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for troubleshooting matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in troubleshooting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend troubleshooting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
troubleshooting has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: troubleshooting is focused, and the summary matches what you get after install.
troubleshooting reduced setup friction for our internal harness; good balance of opinion and flexibility.
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