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bmad-sprint-planning

Generate sprint status tracking from epics. Use when the user says "run sprint planning" or "generate sprint plan"

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SKILL.md
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Sprint Planning Workflow

Goal: Generate sprint status tracking from epics, detecting current story statuses and building a complete sprint-status.yaml file.

Your Role: You are a Developer generating and maintaining sprint tracking. Parse epic files, detect story statuses, and produce a structured sprint-status.yaml.

Conventions

  • Bare paths (e.g. checklist.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • project_name, user_name
  • communication_language, document_output_language
  • implementation_artifacts
  • planning_artifacts
  • date as system-generated current datetime
  • project_context = **/project-context.md (load if exists)
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}
  • Generate all documents in {document_output_language}

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

Step 6: Execute Append Steps

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. Do not begin the main workflow until all activation steps have been completed.

Paths

  • tracking_system = file-system
  • project_key = NOKEY
  • story_location = {implementation_artifacts}
  • story_location_absolute = {implementation_artifacts}
  • epics_location = {planning_artifacts}
  • epics_pattern = *epic*.md
  • status_file = {implementation_artifacts}/sprint-status.yaml

Input Files

InputPathLoad Strategy
Epics{planning_artifacts}/*epic*.md (whole) or {planning_artifacts}/*epic*/*.md (sharded)FULL_LOAD

Execution

Document Discovery - Full Epic Loading

Strategy: Sprint planning needs ALL epics and stories to build complete status tracking.

Epic Discovery Process:

  1. Search for whole document first - Look for epics.md, bmm-epics.md, or any *epic*.md file
  2. Check for sharded version - If whole document not found, look for epics/index.md
  3. If sharded version found:
    • Read index.md to understand the document structure
    • Read ALL epic section files listed in the index (e.g., epic-1.md, epic-2.md, etc.)
    • Process all epics and their stories from the combined content
    • This ensures complete sprint status coverage
  4. Priority: If both whole and sharded versions exist, use the whole document

Fuzzy matching: Be flexible with document names - users may use variations like epics.md, bmm-epics.md, user-stories.md, etc.

Load {project_context} for project-wide patterns and conventions (if exists) Communicate in {communication_language} with {user_name} Look for all files matching `{epics_pattern}` in {epics_location} Could be a single `epics.md` file or multiple `epic-1.md`, `epic-2.md` files

For each epic file found, extract:

  • Epic numbers from headers like ## Epic 1: or ## Epic 2:
  • Story IDs and titles from patterns like ### Story 1.1: User Authentication
  • Convert story format from Epic.Story: Title to kebab-case key: epic-story-title

Story ID Conversion Rules:

  • Original: ### Story 1.1: User Authentication
  • Replace period with dash: 1-1
  • Convert title to kebab-case: user-authentication
  • Final key: 1-1-user-authentication

Build complete inventory of all epics and stories from all epic files

For each epic found, create entries in this order:
  1. Epic entry - Key: epic-{num}, Default status: backlog
  2. Story entries - Key: {epic}-{story}-{title}, Default status: backlog
  3. Retrospective entry - Key: epic-{num}-retrospective, Default status: optional

Example structure:

development_status:
  epic-1: backlog
  1-1-user-authentication: backlog
  1-2-account-management: backlog
  epic-1-retrospective: optional
For each story, detect current status by checking files:

Story file detection:

  • Check: {story_location_absolute}/{story-key}.md (e.g., stories/1-1-user-authentication.md)
  • If exists → upgrade status to at least ready-for-dev

Preservation rule:

  • If existing {status_file} exists and has more advanced status, preserve it
  • Never downgrade status (e.g., don't change done to ready-for-dev)
  • If existing {status_file} has an action_items section, carry it over unchanged

Status Flow Reference:

  • Epic: backlogin-progressdone
  • Story: backlogready-for-devin-progressreviewdone
  • Retrospective: optionaldone
Create or update {status_file} with:

File Structure:

# generated: {date}
# last_updated: {date}
# project: {project_name}
# project_key: {project_key}
# tracking_system: {tracking_system}
# story_location: {story_location}

# STATUS DEFINITIONS:
# ==================
# Epic Status:
#   - backlog: Epic not yet started
#   - in-progress: Epic actively being worked on
#   - done: All stories in epic completed
#
# Epic Status Transitions:
#   - backlog → in-progress: Automatically when first story is created (via create-story)
#   - in-progress → done: Manually when all stories reach 'done' status
#
# Story Status:
#   - backlog: Story only exists in epic file
#   - ready-for-dev: Story file created in stories folder
#   - in-progress: Developer actively working on implementation
#   - review: Ready for code review (via Dev's code-review workflow)
#   - done: Story completed
#
# Retrospective Status:
#   - optional: Can be completed but not required
#   - done: Retrospective has been completed
#
# Action Item Status:
#   - open: Committed during a retrospective, not yet addressed
#   - in-progress: Actively being worked on
#   - done: Completed
#
# WORKFLOW NOTES:
# ===============
# - Epic transitions to 'in-progress' automatically when first story is created
# - Stories can be worked in parallel if team capacity allows
# - Developer typically creates next story after previous one is 'done' to incorporate learnings
# - Dev moves story to 'review', then runs code-review (fresh context, different LLM recommended)
# - Retrospective appends its action items to action_items; sprint-status surfaces open ones

generated: { date }
last_updated: { date }
project: { project_name }
project_key: { project_key }
tracking_system: { tracking_system }
story_location: { story_location }

development_status:
  # All epics, stories, and retrospectives in order

Write the complete sprint status YAML to {status_file} CRITICAL: Metadata appears TWICE - once as comments (#) for documentation, once as YAML key:value fields for parsing Ensure all items are ordered: epic, its stories, its retrospective, next epic... If the existing file had an action_items section, write it back unchanged after development_status

Perform validation checks:
  • Every epic in epic files appears in {status_file}
  • Every story in epic files appears in {status_file}
  • Every epic has a corresponding retrospective entry
  • No development_status items in {status_file} that don't exist in epic files
  • action_items section (if it existed) carried over unchanged
  • All status values are legal (match state machine definitions)
  • File is valid YAML syntax

Count totals:

  • Total epics: {{epic_count}}
  • Total stories: {{story_count}}
  • Epics in-progress: {{in_progress_count}}
  • Stories done: {{done_count}}

Display completion summary to {user_name} in {communication_language}:

Sprint Status Generated Successfully

  • File Location: {status_file}
  • Total Epics: {{epic_count}}
  • Total Stories: {{story_count}}
  • Epics In Progress: {{in_progress_count}}
  • Stories Completed: {{done_count}}

Next Steps:

  1. Review the generated {status_file}
  2. Use this file to track development progress
  3. Agents will update statuses as they work
  4. Re-run this workflow to refresh auto-detected statuses

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.

Additional Documentation

Status State Machine

Epic Status Flow:

backlog → in-progress → done
  • backlog: Epic not yet started
  • in-progress: Epic actively being worked on (stories being created/implemented)
  • done: All stories in epic completed

Story Status Flow:

backlog → ready-for-dev → in-progress → review → done
  • backlog: Story only exists in epic file
  • ready-for-dev: Story file created (e.g., stories/1-3-plant-naming.md)
  • in-progress: Developer actively working
  • review: Ready for code review (via Dev's code-review workflow)
  • done: Completed

Retrospective Status:

optional ↔ done
  • optional: Ready to be conducted but not required
  • done: Finished

Action Item Status:

open → in-progress → done
  • open: Committed during a retrospective, not yet addressed
  • in-progress: Actively being worked on
  • done: Completed

Guidelines

  1. Epic Activation: Mark epic as in-progress when starting work on its first story
  2. Sequential Default: Stories are typically worked in order, but parallel work is supported
  3. Parallel Work Supported: Multiple stories can be in-progress if team capacity allows
  4. Review Before Done: Stories should pass through review before done
  5. Learning Transfer: Developer typically creates next story after previous one is done to incorporate learnings
Repository
bmad-code-org/BMAD-METHOD
Last updated
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