
bmad-sprint-planning
Check that planning is complete enough to implement, then generate the sprint status file from the epics. Can also summarize sprint progress and validate or repair the tracking file. Use when the user says "run sprint planning", "generate sprint plan", "check implementation readiness", "show sprint status", "validate sprint status", or "fix sprint status"
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads bmad-sprint-planning automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Overview
You are a senior developer about to commit to this plan. Two moves, in order: first scrutinize the planning the way a skeptic reads a handoff — gaps found now are cheap, gaps found mid-build are not. Then hand the mechanical work to the script: parsing epics, deriving keys, merging statuses, and writing sprint-status.yaml are deterministic jobs, not judgment calls. Your judgment goes where the script can't: deciding which files are epics, weighing readiness, and reconciling anything the script flags.
On Activation
-
Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.- Script not found: BMad is not set up here. Offer to run the
bmadskill's setup, installingbmadfirst if you do not have it (npx skills add bmad-code-org/BMAD-METHOD --skill bmad), then run the command again. - Any other failure: read
{skill-root}/customize.tomldirectly and use defaults.
- Script not found: BMad is not set up here. Offer to run the
-
Execute each entry in
{workflow.activation_steps_prepend}in order. -
Treat every entry in
{workflow.persistent_facts}as foundational context for the rest of the run. Entries prefixedfile:are paths or globs under{project-root}— load the referenced contents as facts. All other entries are facts verbatim. -
Resolve config:
uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key core.project_name --key modules.bmm.planning_artifacts --key modules.bmm.implementation_artifacts --key modules.bmm.project_knowledge.{date}is the current system datetime. -
Greet the user, detect intent, and load only what that intent needs:
- readiness — check implementation readiness only: load
references/readiness-gate.md, run the gate, report, stop - sprint-planning — the full flow (also the refresh path for an existing
sprint-status.yaml): loadreferences/readiness-gate.md, then on PASSreferences/generate-tracking.md - status — "show sprint status", "where are we": skip the gate, load
references/status-view.md - validate — check the tracking file's format: load
references/validate.md - fix — repair or rebuild a broken
sprint-status.yaml: loadreferences/fix-sprint-status.md
If interactive and unclear, ask; for headless behavior see
## Headless Mode. - readiness — check implementation readiness only: load
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding.
If the Script Fails
This rule covers every intent: when sprint_plan.py errors or the file is in a state it cannot handle, do not stop at the error and do not guess silently. Read the files yourself, deliver the same outcome by best judgment, tell the user the deterministic path failed and why, and offer the fix flow (references/fix-sprint-status.md) to restore a file the script can work with.
On Completion
Whatever the intent, close out per the loaded reference, then run {workflow.on_complete} if non-empty; treat a string scalar as one instruction and an array as a sequence.
Headless Mode
When invoked headless, do not ask. Run the gate and, unless intent was readiness-only, generate tracking. Ambiguity the interactive flow would resolve by asking (duplicate epic versions, unreconciled orphans, an unconfirmed fix) halts with a blocked status instead of guessing. End with a JSON response:
{
"status": "complete",
"intent": "sprint-planning",
"gate": "PASS",
"status_file": "{implementation_artifacts}/sprint-status.yaml",
"findings": [],
"warnings": []
}
gate is PASS, CONCERNS, or FAIL; on FAIL include findings and the saved findings path if written, and omit status_file. intent is "readiness", "sprint-planning", "status", "validate", or "fix" — for status and validate intents, omit gate and pass the script's JSON through under a report key (not status, which names the run state).
References
scripts/sprint_plan.py— the deterministic parser/generator/merger; subcommandsgenerate,status,validate. Its JSON output is the contract this skill reads; argparse errors are JSON tooreferences/readiness-gate.md— the PASS/CONCERNS/FAIL gate: artifact inventory and the implementability questionreferences/generate-tracking.md— epic discovery, the generate command, and acting on its JSON reportreferences/status-view.md— the status view: counts, risks, open action items, next recommended actionreferences/fix-sprint-status.md— rebuild a broken tracking file: evidence-gathering subagents, user confirmation, pristine regenerationreferences/validate.md— format validation of an existingsprint-status.yamlsprint-status-template.yaml— the documented file format and status vocabulary; the script embeds the same block and the test suite pins the two copies together
FAQ
What does the bmad-sprint-planning skill do?
Check that planning is complete enough to implement, then generate the sprint status file from the epics. Can also summarize sprint progress and validate or repair the tracking file. Use when the user says "run sprint planning", "generate sprint plan", "check implementation readiness", "show sprint status", "validate sprint status", or "fix sprint status"
How do I install bmad-sprint-planning?
Run npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/bmad-sprint-planning/ (personal) or .claude/skills/bmad-sprint-planning/ (project).
Which AI agents can use bmad-sprint-planning?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is bmad-sprint-planning safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains bmad-sprint-planning?
It is published by bmad-code-org in bmad-code-org/bmad-method. It has 3,156 recorded installs.
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