harvest

name	harvest
description	Decomposes a reviewed implementation plan into backlog feature/task/subtask hierarchy
argument-hint	plan=docs/plans/{YYYY-MM-DD}-{slug}-plan.md
input	{"properties":{"plan":{"type":"string","description":"Path to the reviewed implementation plan"},"dry_run":{"type":"boolean","description":"When true, output the planned structure without creating entries"}},"required":["plan"]}

Harvest Skill

The harvest skill turns a reviewed implementation plan into backlog feature, task, and subtask items. It is the reusable decomposition step invoked by the stage agent.

This skill does not perform planning or review. It assumes the incoming plan has already been reviewed or otherwise approved for decomposition.

Agent-Intercom Communication

When the agent-intercom capability pack is installed, call ping at session start. If reachable, broadcast at every step. If unreachable, warn the operator that visibility is degraded and continue locally.

Event	Level	Message prefix
Session start	info	[HARVEST] Starting: plan={input.plan}
Plan accepted	info	[HARVEST] Using reviewed plan: {plan_path}
Structure parsed	info	[HARVEST] Parsed implementation units: {unit_count}
Dry run	info	[HARVEST] Dry run: {feature_count} features, {task_count} tasks, {subtask_count} subtasks
Feature created	info	[HARVEST] Created feature: {feature_id} — {title}
Task created	info	[HARVEST] Created task: {task_id} — {title}
Dependency wired	info	[HARVEST] Dependency: {item_id} blocked by {depends_on}
Complete	success	[HARVEST] Complete: {feature_count} features, {task_count} tasks, {subtask_count} subtasks

Inputs

• ${input:plan}: (Required) Path to the reviewed implementation plan.
• ${input:dry_run:false}: (Optional, defaults to false) Preview the planned hierarchy without creating entries.

Workflow

Phase 1: Validate the reviewed plan

1. Read ${input:plan} in full.
2. Confirm the file exists and represents an implementation plan.
3. Confirm the plan has already cleared the review gate or is explicitly marked ready for harvesting.
4. Broadcast the accepted plan path.
5. Halt if the plan is missing, unreadable, or clearly not ready for backlog creation. Recommend running plan-review first when the review state is unclear.

Phase 2: Parse the plan structure

Extract the planning data needed for decomposition:

1. Root feature title from frontmatter and top-level headings.
2. Problem frame, requirements trace, decisions, and standards check for the root feature description.
3. Task candidates from each implementation unit.
4. Subtask candidates from file lists, acceptance criteria, verification steps, and test surfaces inside each implementation unit.
5. Dependency edges from the plan's dependency graph.

Use repository search tools to validate file references or symbols when the plan mentions existing code locations that need confirmation.

Phase 3: Build the hierarchy model

Map the plan into the backlog hierarchy:

• one feature representing the whole reviewed plan
• one task per implementation unit
• one or more subtasks per file group, verification slice, or explicit execution step inside the unit

Before creating anything, apply backlog shaping rules:

1. Keep tasks small enough to fit a focused implementation session (the 2-hour rule).
2. Keep each task within a single skill domain.
3. Require a verifiable exit state for every task and subtask.
4. Preserve plan references so downstream execution can trace work back to the plan.

Phase 4: Execute or preview

If ${input:dry_run} is true:

1. Produce the proposed feature, task, subtask, and dependency structure.
2. Broadcast the dry-run counts.
3. Do not call backlog mutation tools.

If ${input:dry_run} is false:

1. Query the backlog first to avoid duplicate root features. Use backlogit_list_items or backlogit_search_items to check for existing items with matching titles.
2. Create the root feature via backlogit_create_item or backlogit add --type {{artifact_type}} --title {{title}}.
3. Create one task per implementation unit under that feature.
4. Create granular subtasks under each task.
5. Wire dependencies when the backlog tool supports dependency operations (check the backlog registry for availability).
6. Broadcast each created feature, task, and dependency edge as it is written.

Phase 5: Verify and report

1. Confirm the created hierarchy through backlog read operations.
2. Report the created IDs, counts, and dependency summary.
3. Return the ready backlog as the output of the planning pipeline.
4. Recommend handing the resulting backlog to the build-and-ship workflow for harness, build, review, CI, and pull request execution.

Guardrails

• Do not modify the plan file.
• Do not skip duplicate checks.
• Keep descriptions self-contained enough for the next executor to act without reopening the plan for basic context.

Model Routing

This skill operates at Tier 2 (Standard) — backlog decomposition is structured and deterministic.