performance SKILL.md skillA

performance from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/performance@v2.0.0

Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/architecture/performance/SKILL.md
Versions recorded
5
Latest version
v2.0.0, committed Sep 15, 2026
First version recorded
Feb 11, 2026
Size
9,807 bytes
Repository stars
19
License
Apache-2.0

Optimize application performance and scalability through async patterns, caching strategies, profiling, horizontal scaling, load balancing, and resource management. Use when diagnosing slow endpoints, implementing caching, profiling bottlenecks, planning system capacity, or designing stateless services.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Performance & Scalability

> **Purpose**: Optimize application speed, throughput, resource usage, and scaling for production loads. 
> **Strategy**: Profile first, optimize bottlenecks, measure impact, scale horizontally. 
> **Note**: For language-specific implementations, see [C# Development](../../languages/csharp/SKILL.md) or [Python Development](../../languages/python/SKILL.md).

---

## When to Use This Skill

- Diagnosing slow application endpoints
- Implementing caching strategies
- Profiling CPU or memory bottlenecks
- Optimizing database query performance
- Setting up performance monitoring and alerting
- Planning system capacity and scaling strategy
- Implementing load balancing or auto-scaling
- Adding message queues for async processing
- Designing stateless microservices
- Configuring database read replicas or sharding

## Prerequisites

- Application running in a profiling-capable environment
- Access to monitoring tools

## Decision Tree

```
Performance concern?
+- Not yet measured? -> Profile FIRST (don't guess)
| +- .NET -> dotnet-trace / BenchmarkDotNet
| +- Python -> cProfile / py-spy
| - Node.js -> clinic.js / --prof
+- Slow API response?
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/performance@sha256:a64c8a32646077ef

The line at the top of this page pins the label v2.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zjjbkpzm7vamlhhg.svg)](https://markdownregistry.com/a/art_zjjbkpzm7vamlhhg)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Feb 11, 2026 and Sep 15, 2026, about one every 54 days.

versioncommittedcommitsizeaudit
v2.0.0 latest2026-09-15 f17c505 9,807 BA view · diff
v2.0.02026-03-01 969f335 9,805 BA view · diff
v2.0.02026-02-28 aa03a2e 8,853 BA view · diff
v1.0.02026-02-16 30e409a 4,688 BA view · diff
v1.0.02026-02-11 e9f9a5c 4,815 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (9807 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

jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_zjjbkpzm7vamlhhg
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/performance
GET https://markdownregistry.com/api/v1/blob/a64c8a32646077ef61667d8e8817691daed9ac46676d3a81690993962f7e1eb5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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