# jira-xray-pipeline

> jira-xray-pipeline — anisharamathal88-jira-xray-pipeline. Use this tool when you need to automate testing workflows and streamline quality assurance processes. It analyzes Jira User Stories, generates Xray-compatible test cases, and publishes them to Jira and Xray, saving time and reducing manual effort. Ideal for teams using Jira and Xray, it integrates with git to facilitate seamless collaboration and version control.

Canonical page: https://skillsregistry.net/skills/anisharamathal88-jira-xray-pipeline  
JSON: https://api.skillsregistry.net/v1/skills/anisharamathal88-jira-xray-pipeline

## Description

AI-assisted workflow that automates Jira User Story analysis, Xray-compatible test case generation, review, and publishing to Jira/Xray.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AnishaRamathal88/jira-xray-pipeline)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "anisharamathal88-jira-xray-pipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anisharamathal88-jira-xray-pipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anisharamathal88-jira-xray-pipeline/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt