Home / jpeetz / agent-skills · skills/devops-infrastructure/performance-optimization/SKILL.md · GitHub

performance-optimization skillA

performance-optimization is agent-read markdown (skill) from jpeetz/agent-skills: Use this skill when optimizing application performance across frontend (Core Web Vitals, bundles), backend (N+1 queries, connection pools, caching), and database (indexes, query plans). Profiles before fixing, pinpoints actual bottlenecks rather than assumed ones, verifies improvements by re-measuring the same way as baseline..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Performance Optimization

Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters.

## When to Use This Skill

Use this skill when:

- Performance requirements exist in the spec (load time budgets, response time SLAs, LCP/INP/CLS targets)
- Users or monitoring report slow behavior (high latency, sluggish interactions, jank)
- Core Web Vitals scores are below 'Good' thresholds
- You suspect a recent change introduced a performance regression
- Building features that handle large datasets or high traffic volumes
- Profiling or tracing reveals a bottleneck that needs addressing
- An N+1 query pattern is discovered in data-fetching code
- Bundle size analysis shows large, unnecessary dependencies

**When NOT to use:** Do not optimize before you have empirical evidence of a problem. Premature optimization is a known source of bugs, complexity, and wasted effort. If you're guessing at what's slow, measure first.

## Core Web Vitals Targets
…

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How to install

Latest version
mdr add jpeetz/agent-skills/performance-optimization@v1.0.0
Exact content
mdr add jpeetz/agent-skills/performance-optimization@sha256:464a4f06b526ed17

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

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v1.0.0 latest2026-09-21 3f0e3da 10,749 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10749 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jpeetz/agent-skills · 9 stars · license none · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5uq5ea4plgr6alnu
GET https://markdownregistry.com/api/v1/resolve?ref=jpeetz/agent-skills/performance-optimization
GET https://markdownregistry.com/api/v1/blob/464a4f06b526ed17e18b92dcc39401d8271939110bac94882254c3cb14636ff1

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Every file in jpeetz/agent-skills

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