Sprint Planning
Plan implementation sprints with story selection, goal definition, and execution ordering.
Best use case
Sprint Planning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Plan implementation sprints with story selection, goal definition, and execution ordering.
Teams using Sprint Planning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sprint-planning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Sprint Planning Compares
| Feature / Agent | Sprint Planning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Plan implementation sprints with story selection, goal definition, and execution ordering.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Sprint Planning Plan implementation sprints with story selection, goal definition, and execution ordering. ## Agent Bob (Scrum Master) - `bmad-sm-bob` ## Workflow 1. Review available stories from epic backlog 2. Consider velocity from previous sprints 3. Select stories forming coherent sprint goal 4. Validate stories are implementation-ready 5. Order by dependency and priority 6. Define sprint goal and identify blockers ## Inputs - `projectName` - Project name - `sprintNumber` - Current sprint number - `epics` - Available epics and stories - `previousSprints` - Previous sprint results (optional) ## Outputs - Sprint goal and selected stories - Execution order with dependencies - Story point commitment - Blocker identification ## Process Files - `bmad-orchestrator.js` - Phase 4 sprint planning - `bmad-implementation.js` - Standalone implementation
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