performance-bottleneck-analysis SKILL.md skillA

performance-bottleneck-analysis from naodeng/awesome-qa-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add naodeng/awesome-qa-skills/performance-bottleneck-analysis@git:20260829.175e380

Pins git:20260829.175e380 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
naodeng/awesome-qa-skills
Path
skills/en/testing-types/performance-bottleneck-analysis/SKILL.md
Versions recorded
2
Latest version
git:20260829.175e380, committed Aug 29, 2026
First version recorded
Aug 29, 2026
Size
3,312 bytes
Repository stars
301
License
a license file GitHub does not identify

Use this skill when you need to form evidence-based performance bottleneck hypotheses and validation steps; triggers include performance bottleneck analysis.

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 Bottleneck Analysis

## When to Use

- Use this skill when you need to combine load, metrics, and traces to locate resources or code paths limiting throughput or latency.
- Use it to review an existing plan, result, or evidence set and produce actionable improvements.
- Use it when context is incomplete but a bounded first pass is still valuable.

## Output Format Options

- Default to Markdown for review, execution, and incremental refinement.
- When the user requests tables, CSV, JSON, or ticket fields, preserve risk, evidence, priority, and boundary information.
- For machine-consumed output, confirm the schema, enums, and required fields first.

## How to Use

1. Read and follow `prompts/performance-bottleneck-analysis.md`, including its input contract, execution rules, minimum coverage, and output order.
2. Add only context that changes the decision: scope, environment, version, constraints, evidence, and success criteria.
3. Audit the input, then separate confirmed facts, working assumptions, and open questions.
4. Rank by risk and evidence strength, and produce an artifact that can be executed or reviewed directly.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add naodeng/awesome-qa-skills/performance-bottleneck-analysis@sha256:64ee29516d769a9b

The line at the top of this page pins the label git:20260829.175e380, 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_y34366zos4se5t5k.svg)](https://markdownregistry.com/a/art_y34366zos4se5t5k)

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

Versions

The registry has recorded 2 versions of this file, all committed on Aug 29, 2026.

versioncommittedcommitsizeaudit
git:20260829.175e380 latest2026-08-29 175e380 3,312 BA view · diff
git:20260829.30ae1532026-08-29 30ae153 371 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 (3312 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

naodeng/awesome-qa-skills · 301 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_y34366zos4se5t5k
GET https://markdownregistry.com/api/v1/resolve?ref=naodeng/awesome-qa-skills/performance-bottleneck-analysis
GET https://markdownregistry.com/api/v1/blob/64ee29516d769a9bf1b6f8d26552aae75d61b540271f6c72c67e599c147128c9

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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