Post Plan Workflow

Post-Plan Workflow — Materialize and Implement

Plan approval is the green light for the full pipeline. Proceed through all three phases without stopping.

Phase 1: Materialize

Complete materialization before any implementation begins.

1. Create MCP items from the approved plan using create_work_tree (preferred for structured work with dependencies) or manage_items (for individual items). Apply appropriate schema tags based on the plan and the project's .taskorchestrator/config.yaml — this activates gate enforcement for each item. If the config defines separate schemas for containers vs. child tasks, apply the appropriate tag at each level.
2. Wire dependency edges between items — use BLOCKS for sequencing, fan-out/fan-in patterns for parallel work
3. Check expectedNotes in create responses — if the item's tags match a schema, the response includes the expected note keys and phases. Fill required queue-phase notes (requirements, acceptance-criteria, etc.) with content from the plan before advancing.
4. Verify all item UUIDs exist — confirm the full item graph is materialized before proceeding

If create_work_tree fails: Check partial state with query_items(operation='overview'). Delete partial items with manage_items(delete, recursive=true) and retry.

Do NOT dispatch implementation agents until materialization is complete. Agents need MCP item UUIDs to self-report progress.

Phase 2: Implement

Dispatch subagents to execute the plan:

• Each subagent owns one MCP item — include the item UUID in the delegation prompt
• If expectedNotes entries include guidance, embed it in the delegation prompt as authoring instructions when filling notes
• If expectedNotes entries include a skill field, include in the delegation prompt: "Before filling the <key> note, invoke /<skill> and follow its framework." This ensures subagents receive deterministic skill routing rather than relying on guidance prose
• Agents own phase entry only — each agent calls advance_item(trigger="start") once to enter work phase, fills work-phase notes, and returns. The orchestrator handles all further transitions (work→review or work→terminal depending on schema). Agents do NOT call advance_item a second time
• Fill work-phase notes (implementation-notes, test-results, etc.) as the agent works
• Respect dependency ordering — do not dispatch an agent for a blocked item until its blockers complete
• Between waves: call get_blocked_items(parentId=...) to confirm upstream items completed — dependency gating implicitly verifies agents transitioned their items. If downstream items are still blocked, investigate the upstream blocker
• Do not call advance_item or complete_tree for terminal transitions on items delegated to agents — the orchestrator reviews and advances to terminal after agents return

Do NOT use AskUserQuestion between phases — proceed autonomously.

Phase 3: Verify

After all agents complete:

1. Run query_items(parentId=..., role="work") — any results are items agents failed to transition. Use /status-progression to diagnose and manually advance stuck items
2. Run get_context() health check to see what completed, what stalled, and what needs attention
3. Review any stalled items — check which notes are missing with get_context(itemId=...)
4. Address blockers or incomplete work as needed

Workflow Complete

The post-plan workflow is done. Report the final status to the user — what completed, what needs attention, and any items still in progress.

Source: jpicklyk/task-orchestrator — distributed by TomeVault.