Sprint Planning Helper
Streamline sprint planning with data-driven task estimation, prioritization, and capacity assessment from jeremylongshore.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add sprint-planning-helper npx -- -y @trustedskills/sprint-planning-helper
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"sprint-planning-helper": {
"command": "npx",
"args": [
"-y",
"@trustedskills/sprint-planning-helper"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The sprint-planning-helper skill assists with Agile sprint planning by generating tasks, estimating effort (in story points), and suggesting task dependencies. It can also help refine user stories into actionable items for a development team. The tool aims to streamline the sprint planning process and improve accuracy in estimations.
When to use it
- New Sprint: Kick off a new sprint cycle by generating initial tasks from existing user stories.
- Refining User Stories: Break down vague user stories into smaller, more manageable development tasks.
- Effort Estimation: Get assistance estimating the effort required for each task in story points.
- Dependency Identification: Identify potential dependencies between tasks to optimize sprint workflow.
Key capabilities
- Task generation from user stories
- Story point estimation
- Identification of task dependencies
- Refinement of user stories into actionable items
Example prompts
- "Generate tasks for the user story: 'As a user, I want to be able to reset my password.'"
- "Estimate the effort (in story points) for these tasks: [list of tasks]"
- "Identify dependencies between these tasks: [list of tasks]"
Tips & gotchas
The skill's output is based on its training data and may require adjustments based on your team’s specific context and estimation practices. Consider reviewing and refining the generated tasks and estimations with your development team for best results.
Tags
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