Flaky Test Analysis

by naodeng

Flaky Test Analysis is a Quality skill for Claude Code, published by naodeng in awesome-qa-skills.

193 stars27 forkson naodeng/awesome-qa-skillsAdded 2026/09/05+1% in starsRepository updated 2026/09/03

View source on GitHub Download repo ZIP

agent-skillsai-qaai-skillsai-testingai-toolsawesome-listprompt-engineeringqaqa-skillsskills

Install in seconds

Install Flaky Test Analysis

Copy Flaky Test Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/flaky-test-analysis ~/.claude/skills/flaky-test-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/naodeng/awesome-qa-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/en/testing-types/flaky-test-analysis/SKILL.md in naodeng/awesome-qa-skills
Installs to: ~/.claude/skills/flaky-test-analysis
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1662 skills

What Flaky Test Analysis does

Flaky Test Analysis helps investigate intermittent test failures by reviewing run history, evidence, and likely causes. Use it to separate facts from hypotheses and recommend stabilization actions.

Flaky Test Analysis is cataloged under Quality on DirSkills. Flaky Test Analysis comes from a repository tagged agent-skills, ai-qa, ai-skills, ai-testing and ai-tools.

Documentation

README

Excerpt

Flaky Test Analysis

When to Use

Use this skill when you need to identify intermittent test failure patterns, evidence, candidate causes, and stabilization actions.
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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Flaky Test Analysis

What else does naodeng publish alongside Flaky Test Analysis?
Flaky Test Analysis is one of 25 skills that DirSkills catalogs from naodeng/awesome-qa-skills, the repository it ships in. Its siblings there include AI Agent Testing, AI Feature Testing and AI-Assisted Testing. Each one is a separate skill with its own page in this directory, installs the same way Flaky Test Analysis does, and is maintained by naodeng in that same repository. The rest of the collection is listed on the naodeng/awesome-qa-skills page.
How does Flaky Test Analysis compare to other Quality skills?
Flaky Test Analysis ranks #1568 by stars among the 1662 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Flaky Test Analysis against them. Open each page to compare what they document and how they install.