Debug Optimize Lcp
CheckedHelps with debugging, optimization as part of testing, debugging, and quality assurance workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add chromedevtools/chrome-devtools-mcp --skill debug-optimize-lcp -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
chromedevtools
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned chromedevtools/chrome-devtools-mcp at 47c5b3753d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 47c5b3753d
- Scanned
- 5 files, 289 lines
About this skill
What it does
This skill enables AI agents to analyze and optimize Largest Contentful Paint (LCP) metrics directly within Chrome DevTools. It helps identify specific rendering bottlenecks that delay the loading of a page's most significant element, allowing for targeted performance improvements.
When to use it
- Diagnosing why a hero image or main video fails to load quickly on mobile devices.
- Tuning resource hints and preloading strategies to ensure critical content appears first.
- Validating the impact of CSS/JS optimizations on core web vitals before deployment.
- Investigating network latency issues affecting the primary content delivery path.
Key capabilities
- Accesses real-time LCP metrics from Chrome DevTools performance traces.
- Identifies specific resources or rendering steps causing delays.
- Provides actionable insights to reduce time-to-interactive for critical content.
Example prompts
- "Analyze the current page's LCP score and tell me which resource is blocking it."
- "Optimize the Largest Contentful Paint by suggesting changes to the network requests."
- "Run a performance audit focusing solely on improving the main image load time."
Tips & gotchas
Ensure the target website is fully loaded before invoking this skill, as LCP metrics require a complete render cycle. This tool relies on Chrome DevTools infrastructure, so it is most effective when used in environments where Chrome debugging protocols are accessible.