post-plan-workflow

Internal workflow for post-plan materialization — creates MCP items from the approved plan and dispatches implementation. Triggered automatically after plan approval when MCP tracking is active.

177 stars

Best use case

post-plan-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Internal workflow for post-plan materialization — creates MCP items from the approved plan and dispatches implementation. Triggered automatically after plan approval when MCP tracking is active.

Teams using post-plan-workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/post-plan-workflow/SKILL.md --create-dirs "https://raw.githubusercontent.com/jpicklyk/task-orchestrator/main/claude-plugins/task-orchestrator/skills/post-plan-workflow/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/post-plan-workflow/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How post-plan-workflow Compares

Feature / Agentpost-plan-workflowStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Internal workflow for post-plan materialization — creates MCP items from the approved plan and dispatches implementation. Triggered automatically after plan approval when MCP tracking is active.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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.

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Guide an MCP work item through its schema-defined lifecycle — filling required notes using guidancePointer and advancing through gate-enforced phases. Internal skill triggered by hooks and output styles during orchestration workflows. Use when an item has schema tags and needs to progress through queue, work, review, or terminal phases with note gates.

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Internal workflow for plan mode — checks MCP for existing work, note schemas, and gate requirements to set the definition floor before planning begins. Triggered automatically when entering plan mode for any non-trivial implementation task.

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Create, view, edit, delete, and validate note schemas for the MCP Task Orchestrator in .taskorchestrator/config.yaml — the templates that define which notes agents must fill at each workflow phase. Use when user says "create schema", "show schemas", "edit schema", "delete schema", "validate config", "what schemas exist", "add a note to schema", "remove note from schema", or "configure gates".

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Create an MCP work item from conversation context. Scans existing containers to anchor the item in the right place (Bugs, Features, Tech Debt, Observations, etc.), infers type and priority, creates single items or work trees, and pre-fills required notes. Use this whenever the conversation surfaces a bug, feature idea, tech debt item, or observation worth tracking persistently. Also use when user says "track this", "log this bug", "create a task for", or "add this to the backlog".

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Specification quality framework for planning. Defines the minimum bar for what a plan must address — alternatives, non-goals, blast radius, risk flags, and test strategy. Referenced by schema guidance fields during queue-phase note filling. Read this skill whenever filling requirements or design notes for any MCP work item.

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Review quality framework for the work-to-review transition gate. Guides verification of plan alignment, test quality, and code simplification before marking implementation complete. Referenced by schema guidance fields during review-phase note filling. Read this skill when filling review-checklist notes or when asked to review completed implementation work.