Fusion Issue Author User Story
Generates user stories from fusion issues, streamlining requirements gathering and ensuring alignment between technical details and user needs.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add fusion-issue-author-user-story npx -- -y @trustedskills/fusion-issue-author-user-story
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"fusion-issue-author-user-story": {
"command": "npx",
"args": [
"-y",
"@trustedskills/fusion-issue-author-user-story"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill automatically generates user stories from existing issues. It analyzes the issue description and context to create a well-formatted user story, including a clear "As a... I want... So that..." structure. This streamlines backlog creation and ensures alignment between development teams and stakeholders.
When to use it
- When you have a large number of issues needing conversion into actionable user stories.
- To quickly populate a project's backlog with initial user story drafts.
- For ensuring consistency in the format and quality of user stories across a team.
- During sprint planning, to easily translate technical tasks into user-centric goals.
Key capabilities
- Issue analysis: Understands issue descriptions to extract relevant information.
- User Story Generation: Creates "As a... I want... So that..." formatted user stories.
- Automated Backlog Population: Facilitates efficient backlog creation.
- Format Consistency: Ensures uniform user story structure.
Example prompts
- "Create a user story from this issue: [paste issue description]"
- "Generate a user story for the following problem: [describe the problem]"
- “Turn this Jira ticket into a user story: [Jira ticket details]”
Tips & gotchas
The quality of the generated user stories depends heavily on the clarity and detail in the original issue description. Reviewing and refining the AI-generated output is always recommended to ensure accuracy and completeness.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.