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AutomationJavaScript

Sprint Planning

by a5c-ai

Sprint Planning is an Automation skill for Claude Code, published by a5c-ai in babysitter.

1.7K stars98 forkson a5c-ai/babysitterAdded 2026/07/20+1% in starsRepository updated 2026/08/11
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Install in seconds
Install Sprint Planning
Copy Sprint Planning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/bmad-method/skills/sprint-planning ~/.claude/skills/sprint-planning

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/a5c-ai/babysitter.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
library/methodologies/bmad-method/skills/sprint-planning/SKILL.md in a5c-ai/babysitter
Installs to
~/.claude/skills/sprint-planning
Collection
One of 36 skills cataloged from this repository
Category
Automation β€” 2226 skills

What Sprint Planning does

Plan a BMAD implementation sprint by choosing ready stories, setting a coherent goal, ordering dependencies, and identifying blockers.

Sprint Planning is cataloged under Automation on DirSkills. Sprint Planning comes from a repository tagged agent-orchestration, agent-skills, agentic-ai, agentic-workflow and ai-agents.

Reviewed 2026-08-04

DirSkills review

This is the BMAD Sprint Planning workflow for Bob, the Scrum Master agent, rather than a generic Babysitter page. It turns an epic backlog into a sprint goal, a ready story set, and a dependency-aware execution order.

  • Inputs cover the project, sprint number, available epics and stories, plus optional results from previous sprints for velocity context.
  • Outputs include the selected stories, story-point commitment, blockers, and execution order; the workflow plans the sprint but does not itself execute the stories.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Sprint Planning

  • What else does a5c-ai publish alongside Sprint Planning?

    Sprint Planning is one of 36 skills that DirSkills catalogs from a5c-ai/babysitter, the repository it ships in. Its siblings there include Agent Dispatch, Architecture Design and Architecture Patterns. Each one is a separate skill with its own page in this directory, installs the same way Sprint Planning does, and is maintained by a5c-ai in that same repository. The rest of the collection is listed on the a5c-ai/babysitter page.

  • How does Sprint Planning compare to other Automation skills?

    Sprint Planning ranks #569 by stars among the 2226 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Sprint Planning against them. Open each page to compare what they document and how they install.

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