Groom Milestone

Prepare a GitHub milestone for parallel execution by /work-milestone.

Outcome

All items in the milestone are groomed, dependency-analyzed, and conflict-grouped — producing a dispatch plan that /work-milestone can execute without further human input except blocker resolution.

Entry Conditions

• Milestone number provided as first argument
• Milestone exists on GitHub with state=open
• At least one item assigned to the milestone (via /group-items-to-milestone)
• Backlog MCP server responding

Exit Conditions

• Every item in the milestone has groomed: true
• A priority-ordered list with wave assignments is produced
• A dependency graph (item-to-item) is produced with conflict groups identified
• Any items recommended for splitting have been split (user-approved)
• Any items recommended for addition have been added (user-approved)
• Dispatch plan stored via dispatch_create_plan(milestone_number={N}, ...) and retrievable with dispatch_read({N})

Workflow

flowchart TD
    Start(["Input: milestone number"]) --> Load["Step 1: Load Milestone<br>Action: backlog_list_issues(milestone=N)<br>Output: list of items with groomed status"]

    Load --> Assess["Step 2: Assess Milestone Scope<br>Action: For each item, read title + description + labels<br>Output: scope summary — what the milestone covers"]

    Assess --> GapCheck{"Step 3: Gap Analysis<br>Areas the milestone should cover<br>but no item addresses?<br>Observable: compare milestone title/description<br>against item titles and descriptions"}

    GapCheck -->|"Gaps found"| ProposeAdd["Step 3a: Propose Additions<br>Action: Present gaps to user with<br>suggested new items or existing<br>backlog items to associate<br>Output: user decision per gap"]
    GapCheck -->|"No gaps"| GroomGate

    ProposeAdd --> AddItems["Step 3b: Execute Additions<br>Action: create-backlog-item, then<br>github_project_setup.py issue set-milestone<br>to assign it (see MCP Tools Used)<br>Output: updated milestone item list"]
    AddItems --> GroomGate

    GroomGate{"Step 4: Groom Check<br>Any items with groomed=false?<br>Observable: groomed field in<br>backlog_list_issues response"}

    GroomGate -->|"Ungroomed items exist"| BatchGroom["Step 4a: Batch Groom via Kage-Bunshin<br>Actor: Parallel kage-bunshin sessions<br>Action: For each ungroomed item, spawn:<br>claude -p --model sonnet --permission-mode auto<br>--output-format json --no-session-persistence<br>'Load /dh:groom-backlog-item {title}'<br>All sessions run in same directory (no worktree —<br>grooming writes go through backlog MCP, not filesystem).<br>Wait for all PIDs to exit."]
    GroomGate -->|"All groomed"| DepAnalysis

    BatchGroom --> GroomResults{"Step 4b: Check Groom Results<br>Read each /tmp/kb-groom-{issue}.json<br>Any sessions failed?"}
    GroomResults -->|"All succeeded"| DepAnalysis
    GroomResults -->|"Some failed"| GroomFix{"Fixable without<br>user direction?"}
    GroomFix -->|"Yes"| GroomRetry["Re-spawn failed items only"]
    GroomRetry --> GroomResults
    GroomFix -->|"No"| GroomEscalate["Report to user:<br>item, error, what was attempted"]
    GroomEscalate --> GroomUserQ{"User says?"}
    GroomUserQ -->|"Skip items"| DepAnalysis
    GroomUserQ -->|"Abort"| Abort(["ABORT — user decision"])

    DepAnalysis["Step 5: Dependency Analysis<br>Action: Read Impact Radius from each groomed item.<br>Compare file lists across all items to find overlaps.<br>Output: dependency graph — which items<br>touch overlapping files/modules"]

    DepAnalysis --> ConflictGroup["Step 6: Conflict Grouping<br>Action: Items with file overlap form a conflict group.<br>Items in the same conflict group MUST execute sequentially.<br>Items in different groups or with no overlap execute in parallel.<br>Output: conflict groups list"]

    ConflictGroup --> SplitCheck{"Step 7: Split Assessment<br>Any single item spanning multiple<br>independent plugins or repo areas?<br>Observable: item's Impact Radius<br>lists files in 2+ unrelated directories"}

    SplitCheck -->|"Splittable items found"| ProposeSplit["Step 7a: Propose Splits<br>Action: Present split recommendations<br>to user with rationale per item<br>Output: user decision per split"]
    SplitCheck -->|"No splits needed"| Prioritize

    ProposeSplit --> ExecSplit["Step 7b: Execute Splits<br>Action: Create new backlog items for each split piece.<br>Assign to this milestone. Close original if fully decomposed.<br>Output: updated item list"]
    ExecSplit --> DepAnalysis

    Prioritize["Step 8: Priority Ordering<br>Action: Order items by:<br>1. Dependency constraints (blocked-by first)<br>2. Priority label (P0 > P1 > P2)<br>3. Conflict group (parallel-safe first)<br>Output: ordered list with wave assignments"]

    Prioritize --> WavePlan["Step 9: Build Dispatch Plan<br>Action: Assign items to waves.<br>Wave 1: all items with no dependencies and no conflict group overlap.<br>Wave 2: items unblocked after Wave 1. Continue until all items assigned.<br>Verify wave ordering and dependency references.<br>Construct DispatchPlan object from wave assignments.<br>Call dispatch_create_plan(milestone_number=N, plan=dispatch_plan) to persist plan atomically.<br>For re-grooming a stale plan, pass overwrite=True.<br>Call dispatch_wave_start per wave to register state.<br>Output: plan/milestone-{N}-dispatch.yaml"]

    WavePlan --> Report["Step 10: Report<br>Output: milestone summary with wave assignments,<br>conflict groups, estimated parallelism per wave,<br>and next command: /work-milestone {N}"]

    Report --> Done(["Exit: Dispatch plan ready"])

MCP Tools Used

• backlog_list_issues(milestone=N) — load milestone items and groomed status
• backlog_view(selector) — read individual item Impact Radius and metadata
• backlog_groom(selector) — trigger grooming for ungroomed items
• backlog_update(selector, ...) — update item fields; has no milestone parameter — milestone assignment is done via github_project_setup.py issue set-milestone (see /group-items-to-milestone), not through this tool

MCP Tools — Dispatch (Backlog Server)

The backlog MCP server exposes these dispatch tools used at plan-write time:

• dispatch_create_plan(milestone_number, plan, overwrite, validate, issue) — Step 9: validates and persists the dispatch plan atomically; plan is a typed DispatchPlan object; use overwrite=True when re-grooming a stale plan
• dispatch_wave_start(milestone, wave_num, items) — Step 9: registers each wave in the dispatch state database; call after dispatch_create_plan to initialise wave state
• dispatch_wave_status(milestone, wave_num) — available after /work-milestone launches; returns item-level progress with stale PID detection

The DispatchPlan schema is defined in ./references/dispatch-plan-schema.md.

Error Handling

• Milestone not found or closed: report and stop — do not create a dispatch plan for a closed milestone
• Backlog MCP unavailable: emit PROCESS ERROR format with exact error text; do not proceed
• No items in milestone: report, suggest running /group-items-to-milestone first
• Grooming agent fails for an item: log the error, continue grooming remaining items, report all failures at the end
• Impact Radius missing after grooming: re-trigger groom for that item once; if still missing, flag as BLOCKED in the report
• Wave ordering or dependency reference errors found during plan build: fix before calling dispatch_create_plan and dispatch_wave_start

Backend Requirements

GitHub backend only. The GitHub milestone is the organizing primitive for this skill. All milestone lookup (backlog_list_issues(milestone=N)), wave registration, and dispatch plan storage assume GitHub Issues as the source of truth.

Beads backend: GitHub milestones are not available in beads repos. Do not run this skill against a beads-backed project. The beads equivalent of wave membership is the dh:wave:<N> label, managed by the Beads Dispatch Adapter during /work-milestone execution. Use the dispatch adapter tooling directly rather than this skill.

Other non-GitHub backends: Behavior is undefined. Report PROCESS ERROR — groom-milestone requires GitHub backend and stop if backlog MCP reports a non-GitHub backend.