Sprint Planning
SkillProductivityLets your agent break down and manage complex multi-step tasks with strict, repeatable workflows.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Sprint Planning skill
About this capability
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/bmad-method/skills/sprint-planning/SKILL.md and read by ahel’s review.
Plan implementation sprints with story selection, goal definition, and execution ordering.
Agent
Bob (Scrum Master) - bmad-sm-bob
Workflow
- Review available stories from epic backlog
- Consider velocity from previous sprints
- Select stories forming coherent sprint goal
- Validate stories are implementation-ready
- Order by dependency and priority
- Define sprint goal and identify blockers
Inputs
projectName- Project namesprintNumber- Current sprint numberepics- Available epics and storiespreviousSprints- 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 planningbmad-implementation.js- Standalone implementation
Signals
- GitHub stars
- 2k
- Forks
- 106
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
sprint-planning- Source
- github.com/a5c-ai/babysitter