smithery/archview-ai

openwebf-app-performance-js

Measure and optimize WebF app performance from the JavaScript side (performance.mark/measure, bundle size, code splitting, debouncing, CSS transforms).

Installation

$ npx skills add smithery/archview-ai --skill openwebf-app-performance-js

Summary

  • Measure and optimize WebF app performance from the JavaScript side (performance.mark/measure, bundle size, code splitting, debouncing, CSS transforms).
  • Use when the user mentions performance.mark/measure, JS profiling, heavy JS work, bundle size, code splitting, debouncing, or animation performance.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsRead, Grep, Glob, Bash, Edit, Write, mcp__openwebf__docs_search, mcp__openwebf__docs_get_section

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,150 B
  • docs SUMMARY.md 335 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

OpenWebF App: Performance (JavaScript Side)

Instructions

  1. Establish a measurement baseline (prefer production builds for accuracy).
  2. Add minimal instrumentation (performance.mark/measure) around suspected hot paths.
  3. Apply high-leverage best practices:

- reduce sync work on critical path - debounce expensive operations - split bundles and monitor size

  1. Use MCP docs for recommended practices and code snippets.

If the user’s question is primarily about host-side FP/FCP/LCP wiring or dumpLoadingState, prefer openwebf-host-performance-metrics.

More:

  • [reference.md](reference.md)
  • [doc-queries.md](doc-queries.md)
  • [examples.md](examples.md)