Turn Jira tickets into reusable test automation skills. Convert requirements into runnable automated workflows in one click.
Users
5
−1 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#256K
#214K among extensions
Version
2.3
updated 21 Aug 2026
Users
monthly, 6 months
Latest, 16 Oct 2026:5 usersMove the mouse over the chart for any month
Ratings count
monthly, 6 months
Latest, 16 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Skiller - Jira to Test Automation
skiller is a Chrome extension that helps QA engineers and developers generate structured, agent-ready QA skill files directly from Jira stories — without leaving your browser.
Open any Jira story and skiller automatically detects the issue, reads the title, description, acceptance criteria, labels, and comments, then uses AI (Claude or GPT-4) to generate comprehensive QA artifacts in seconds.
WHAT YOU CAN GENERATE
• Test Case Files — detailed functional test cases mapped to acceptance criteria
• Negative Test Scenarios — edge cases and invalid input paths
• Edge Case Discovery — boundary conditions and unexpected user behaviors
• Eval Generation — LLM evaluation prompts for AI-powered features
• Dataset Generation — structured test data sets for automated testing
• Risk Analysis — identifies high-risk areas and potential failure points
• Test Plans — structured QA plans ready for sprint ceremonies
HOW IT WORKS
1. Navigate to any Jira story on your Atlassian workspace
2. skiller detects the story automatically and appears in the side panel
3. Choose your AI provider (Anthropic Claude or OpenAI GPT-4)
4. Review the AI-generated skill plan and select which skills to generate
5. Download your skill files and use them directly with AI coding agents or your QA framework
WHY SKILLER
QA teams spend hours writing test cases manually. skiller reads the full context of your Jira story — including acceptance criteria, story points, sprint, components, and linked issues — and produces structured, consistent skill files that
work directly with AI agents like Claude Code, Cursor, and Copilot.
SUPPORTED WORKFLOWS
• Works on all Jira Cloud (atlassian.net) workspaces
• Supports Anthropic Claude and OpenAI models
• Configurable depth: Shallow, Standard, or Deep skill generation …