principle-performance SKILL.md skillA

principle-performance from lugassawan/swe-workbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lugassawan/swe-workbench/principle-performance@git:20260828.71a6399

Pins git:20260828.71a6399 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lugassawan/swe-workbench
Path
skills/principle-performance/SKILL.md
Versions recorded
4
Latest version
git:20260828.71a6399, committed Aug 28, 2026
First version recorded
May 8, 2026
Size
7,560 bytes
Repository stars
3
License
MIT

Performance engineering principles — latency vs throughput, profile-before-optimize discipline, Big-O instincts for common patterns, data locality and cache-friendliness, N+1 queries on a list endpoint, TTL sizing for hot-path endpoints, stampede prevention with single-flight. Auto-load when reviewing hot-path code, choosing data structures, designing batch or streaming pipelines, hunting allocations or GC pauses, sizing TTL and picking cache invalidation, or evaluating scalability.

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

<!-- preload-canary: SWB-PRELOAD-PRINCIPLE-PERFORMANCE -->

# Performance

Performance bugs are design bugs. They are cheapest to fix before the first line of code is written. This skill teaches design-time discipline — choosing the right algorithm, data structure, and access pattern — not runtime profiler operation.

## Latency vs Throughput

They pull in opposite directions; name the goal before optimizing.
- Latency: time to serve one request. Throughput: requests served per unit time. Improving one often degrades the other.
- Tail latency (p99, p999) is a separate budget from mean latency — do not let averages hide outliers.
- Batching and buffering improve throughput at the cost of per-item latency; state this trade-off explicitly.
- Choose the objective first: a real-time API and a batch pipeline have different success criteria.

## Profile Before You Optimize

Measurement beats intuition; no fix without a hot path identified by data.
- Identify the bottleneck with a profiler before changing code — optimizing a path that accounts for 5% of runtime cannot yield more than a 5% total improvement, no matter how perfect the fix.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lugassawan/swe-workbench/principle-performance@sha256:7826127784f9f4ca

The line at the top of this page pins the label git:20260828.71a6399, 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_tjctu7uukfqb6mbd.svg)](https://markdownregistry.com/a/art_tjctu7uukfqb6mbd)

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

Versions

The registry has recorded 4 versions of this file, between May 8, 2026 and Aug 28, 2026, about one every 37 days.

versioncommittedcommitsizeaudit
git:20260828.71a6399 latest2026-08-28 71a6399 7,560 BA view · diff
git:20260725.074b4962026-07-25 074b496 7,794 BA view · diff
git:20260612.db243272026-06-12 db24327 7,735 BA view · diff
git:20260508.b01606e2026-05-08 b01606e 5,559 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 (7560 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

lugassawan/swe-workbench · 3 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tjctu7uukfqb6mbd
GET https://markdownregistry.com/api/v1/resolve?ref=lugassawan/swe-workbench/principle-performance
GET https://markdownregistry.com/api/v1/blob/7826127784f9f4ca3635539730c3e2dc317e1ca2a2477cdd8d457c7944dc515e

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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