plan-orchestrate

name	plan-orchestrate
description	Execute implementation plans with parallel TDD workers. Use when ready to run, execute, or start a plan. Triggers on "run the plan", "execute the plan", "implement the plan", "start the plan", "start implementation", "orchestrate", "begin autonomous execution". Requires a plan created by plan-create.
model	sonnet
argument-hint	[plan-name]
allowed-tools	Read, Write, Edit, Bash, Glob, Grep, Task

Plan Orchestrate

Execute all tasks in a plan using parallel TDD workers. Fully autonomous after invocation.

Usage

plan-orchestrate {plan-name}

Example: plan-orchestrate user-auth

Prerequisites

1. Plan must exist at .claude/plans/{plan-name}/
2. Project must be configured (.claude/testing.md exists)
3. Plan status must be ready or in_progress

Check prerequisites:

ls .claude/plans/{plan-name}/_plan.md .claude/testing.md 2>/dev/null

If not found, output error and stop.

4. Must be on the correct feature branch

Verify the current branch matches feature/{plan-name}:

git branch --show-current

If the current branch is not feature/{plan-name}:

• Output an error explaining which branch is expected
• Ask the user if they'd like to check out feature/{plan-name}
• Do NOT proceed until on the correct branch

Project Configuration

@.claude/testing.md @.claude/code-standards.md

Execution Algorithm

Step 0: Check for Ralph Wiggum Plugin

Before starting execution, check if the ralph-wiggum plugin is installed by looking at the available skills listed in the system reminder. If skills like ralph-wiggum:ralph-loop, ralph-wiggum:help, or ralph-wiggum:cancel-ralph appear in the available skills list, the plugin is installed.

Do NOT use claude plugin list via Bash — this command does not work from inside a Claude Code session and will produce false negatives.

If ralph-wiggum IS installed (skills are listed):

• Automatically wrap execution with ralph-wiggum for session persistence
• Invoke: /ralph-wiggum:loop "plan-orchestrate {plan-name}" --completion-promise "ALL_TASKS_COMPLETE" --max-iterations 100
• This ensures the orchestrator continues even if context limits are reached

If ralph-wiggum is NOT installed (skills are not listed):

• Display a warning:

  WARNING: ralph-wiggum plugin is not installed.
  
  For large plans, execution may stop if context limits are reached.
  The orchestrator will continue, but session persistence is not available.
  
  To install ralph-wiggum for automatic session recovery:
    claude plugin marketplace add anthropics/claude-code
    claude plugin install ralph-wiggum@claude-code-plugins
  
  Continuing without ralph-wiggum...
  

• Continue with execution (the orchestrator will still work, but without session persistence)

Step 1: Load Plan Context

Read plan files:

• .claude/plans/{plan-name}/_plan.md - Plan overview
• .claude/plans/{plan-name}/*.md - All task files (excluding _plan.md)

Note: Testing and code standards are auto-included above.

Parse each task file to extract:

• Task number (from filename)
• Status (pending | in_progress | completed | blocked)
• Dependencies (from Depends on field)
• Requirements (checkboxes)
• Retry count

Build a dependency graph as a data structure.

Step 2: Update Plan Status

If plan status is ready, change to in_progress:

• Edit .claude/plans/{plan-name}/_plan.md
• Set ## Status to in_progress

Establish the run fingerprint. Every hook call below passes this back via --expect=, so that agent files changing mid-run halt the orchestration rather than silently swapping the pipeline. Read .claude/plans/{plan-name}/.hook-fingerprint and handle three distinct states — conflating them is the mistake to avoid:

State	Action
Present and parseable (one line: discover-hooks-fingerprint-v1 <64-hex>)	Use it as $RUN_FINGERPRINT. Pass the file's contents verbatim — do not trim, reformat, or re-derive them.
Missing	Not an error. Plans created before this feature have none. Capture one and write it to the plan directory so a resumed run is covered too, then continue: "{skill-base-dir}/../../hooks/discover-hooks.sh" --fingerprint > .claude/plans/{plan-name}/.hook-fingerprint
Present but unparseable (empty, truncated, prose, wrong length)	Halt. Do not silently recapture — that would mask a botched write. Tell the user to delete the file to re-baseline.

Never reconstruct, abbreviate, or recall a fingerprint from memory. It is only ever produced by running the script. A hallucinated digest fails every subsequent hook with bogus drift and bricks the run.

Step 2a: Pre-Implementation Hook

Run the pre-implementation hook once, after the status is set to in_progress and before the first batch is spawned.

Resolve and run enrolled agents via the HOOKS.md discovery routine (see Hook Discovery below) with HOOK = pre-implementation. Pass each agent the project context as described in Spawning hook agents.

Exit 0 with empty stdout is an empty hook: return immediately, log nothing, do no work, and proceed to Step 3. Any non-zero exit stops the run — see Hook Discovery for the full result table.

Step 3: Find Ready Tasks

A task is ready when:

• Status is pending
• ALL dependencies have status completed

ready_tasks = []
for each task in tasks:
    if task.status == "pending":
        if all(dep.status == "completed" for dep in task.dependencies):
            ready_tasks.append(task)

Step 4: Check Termination Conditions

All Complete:

if all(task.status == "completed" for task in tasks):
    Run Step 4a: End-of-Run Hooks (quality gates + commit sequence before final completion)
    STOP

Blocked State:

if len(ready_tasks) == 0:
    if any(task.status == "pending" for task in tasks):
        # Tasks exist but none are ready - dependency deadlock or all blocked
        blocked_tasks = [t for t in tasks if t.status == "blocked"]
        Output: TASKS_BLOCKED: {list blocked task numbers and reasons}
        STOP

Hook Discovery

All hooks in this skill (pre-implementation, pre-batch, post-batch, post-implementation, pre-commit, post-commit) resolve their enrolled agents by running hooks/discover-hooks.sh, the single implementation of HOOKS.md → Discovery Routine. Never enumerate agent files by hand and never write a glob loop to do it. For a given HOOK:

"{skill-base-dir}/../../hooks/discover-hooks.sh" --hook=<HOOK> --expect="$RUN_FINGERPRINT"

{skill-base-dir} is the Base directory for this skill value stated when this skill loaded — it is given verbatim, so no path inference is needed. ${CLAUDE_PLUGIN_ROOT} is not available in a skill's Bash calls. $RUN_FINGERPRINT is the value established at Step 2.

Then, by result:

• Exit 0, empty stdout → empty hook. Return immediately — no staging, no diffing, no spawns, and no logging or narration. "No narration" is literal and is the rule most often broken: do not name the hook, do not say it is empty/skipped, do not explain why it is empty, and do not say the discovery script returned no agents. A filtered query prints zero bytes precisely so there is nothing to echo. An empty hook is completely invisible in the user-facing output. See HOOKS.md → Empty-hook fast path.
• Exit 0, output → PRINT it verbatim as the resolved order, then spawn.
• Exit 1 or 2 → stop the run. Surface stderr verbatim.
• Exit 3 → stop the run. An agent file declares an invalid phase or mode. Surface stderr verbatim; it names the file and the fix.
• Exit 4 → halt HCF. Hook enrollment changed since this run started, so the remaining hooks would execute a different pipeline than the plan was reviewed against. Surface stderr verbatim. Do not continue the batch loop and do not commit.
• Script missing or not executable → hard failure. Say so and stop. There is no prose fallback; reconstructing the routine by hand is the failure this design exists to end.

Only exit 0 with empty stdout is an empty hook. Every other non-zero exit is an error to report loudly.

On a normal (exit 0, non-empty) result, spawn each agent per its mode field (single → one subagent for the whole plan; batch → split the relevant file list into batches of ~10 and spawn parallel subagents, one Task call per batch, all in a single message). The spawn mode comes from the agent's mode frontmatter field — never from sniffing the agent body text.

Spawning hook agents

Hook agents are spawned with the Task tool using subagent_type="{agent-name}". The orchestrator only has <testing> and <code-standards> in context (see Project Configuration) — it does NOT have <architecture>. Pass each hook agent the project context it needs verbatim:

CRITICAL: Pass the COMPLETE, VERBATIM content of the <code-standards> and <testing> tags above. Do NOT summarize, condense, or paraphrase. The full documents contain nuanced rules that are lost when summarized. Copy-paste the entire content between the tags.

For a batch agent, send one prompt per batch:

## Code Standards
{paste the COMPLETE content of <code-standards> verbatim — do NOT summarize}

## Testing Standards
{paste the COMPLETE content of <testing> verbatim — do NOT summarize}

## Files to Review
{list of files in this batch, one per line}

For a single agent, send one prompt covering the whole plan, including the plan name, the changed-files list, and <testing> + <code-standards> verbatim.

If a hook agent needs project architecture, that is out of scope for this orchestrator — it does not load <architecture>. Do NOT fabricate an ## Project Architecture paste here.

Step 4a: End-of-Run Hooks (Post-Implementation → Tests → Commit)

When all tasks are complete, run the end-of-run hook sequence. The control flow is strictly:

post-implementation → run full test suite → pre-commit → commit → post-commit

CRITICAL INVARIANT: NOTHING is committed until AFTER the full test suite passes. This ensures no broken code is ever committed. The pre-commit hook runs after tests pass and before the commit; post-commit runs after the commit and before the push/PR prompt.

1. Run the post-implementation hook:

Resolve and run enrolled agents via the Hook Discovery routine with HOOK = post-implementation. To give batch agents a file list, first compute the changed files (this stages everything only to read the list, then unstages — nothing is committed):

git add -A && git diff --name-only --cached && git reset HEAD

Then spawn the resolved agents per their mode (see Spawning hook agents). Exit 0 with empty stdout is an empty hook: return immediately, no logging, no work, and proceed to step 2. Any non-zero exit stops the run — see Hook Discovery.

2. After ALL post-implementation agents complete, run validation:

# Run full test suite
{parallel test command from testing.md}

CRITICAL: Nothing is committed until AFTER the full test suite passes. This ensures no broken code is ever committed.

3. On test failure — isolate the cause (see Test-failure isolation below), then either commit the implementation only or output TASKS_BLOCKED.

4. On tests passing — run the pre-commit hook:

Resolve and run enrolled agents via Hook Discovery with HOOK = pre-commit. These run after the suite passes and before the commit. Exit 0 with empty stdout is an empty hook (silent no-op); any non-zero exit stops the run before the commit — see Hook Discovery.

If a pre-commit agent modifies files, those edits are part of this commit. A pre-commit agent that changes files could break tests; that risk is covered by the Test-failure isolation stash, which now spans both post-implementation and pre-commit hook output.

5. Commit: First, update _plan.md status to completed. Then stage and commit everything together in a single commit:

# 1. Update plan status BEFORE committing
# (edit .claude/plans/{plan-name}/_plan.md — set Status to "completed")

# 2. Stage everything: implementation + hook agent fixes + plan files (including updated status)
git add -A .claude/plans/{plan-name}/
git add -A
git commit -m "feat({plan-name}): {plan title summary}"

IMPORTANT: There must be exactly ONE commit here — do NOT make a separate commit for the plan status update. Update the status first, then stage and commit all changes together.

6. After the commit succeeds — run the post-commit hook:

Resolve and run enrolled agents via Hook Discovery with HOOK = post-commit. These run after the commit and before the push/PR prompt (the Output Summary at the end of this skill). Exit 0 with empty stdout is an empty hook (silent no-op); any non-zero exit is reported loudly — see Hook Discovery. The commit has already happened, so report the failure rather than trying to undo it.

post-commit agents that produce uncommitted changes are REPORTED, not silently committed. The commit above already happened; do not amend or create a second commit. Surface any working-tree changes a post-commit agent left behind so the user can decide what to do.

Output: ALL_TASKS_COMPLETE

Test-failure isolation

If the full test suite fails at step 3 (or after pre-commit edits), isolate whether the hook agents (any post-implementation or pre-commit agent that edited files) broke things versus the implementation itself. The git stash isolation spans both the post-implementation and pre-commit hook output:

git stash

Re-run the test suite on just the implementation.

• If implementation tests pass: a hook agent (post-implementation or pre-commit) broke something. Drop the stash, commit implementation only, and output:

  ALL_TASKS_COMPLETE
  
  WARNING: A post-implementation or pre-commit hook agent broke tests. Implementation committed without hook fixes. Review and run manually.
  

• If implementation tests also fail: a TDD worker produced broken code. Restore the stash (git stash pop) and output TASKS_BLOCKED with details.

Step 5: Spawn Parallel Workers

Pre-batch hook (this loop iteration). Before spawning workers, run the pre-batch hook via the Hook Discovery routine with HOOK = pre-batch. Because this runs on every loop iteration, honoring the empty-hook fast no-op is important: on exit 0 with empty stdout, return immediately — log nothing, do no work — so unconfigured loops add zero overhead. Any non-zero exit stops the run; per-iteration checking is also what makes drift (exit 4) surface promptly rather than at the end. See Hook Discovery.

For EACH ready task, spawn a Task tool subagent in parallel (single message with multiple Task tool calls):

Use the Task tool with subagent_type="tdd-worker" for EACH ready task.
All Task tool calls MUST be made in a SINGLE message to enable parallel execution.

Worker Prompt (pass to each tdd-worker):

CRITICAL: Pass the COMPLETE, VERBATIM content of the <testing> and <code-standards> tags above. Do NOT summarize. Subagents have no access to CLAUDE.md or project files beyond what you provide.

## Project Testing Configuration
{paste the COMPLETE content of <testing> verbatim — do NOT summarize}

## Code Standards
{paste the COMPLETE content of <code-standards> verbatim — do NOT summarize}

## Your Task
{contents of the task file}

The tdd-worker agent already has all TDD methodology and rules. The prompt needs the project-specific configuration and task details since subagents do not inherit CLAUDE.md context.

Step 6: Collect Results

Wait for ALL parallel Task tool calls to complete. For each result:

On TASK_COMPLETE:

1. Verify all requirements are checked in task file
2. Set task status to completed
3. Update the task table in _plan.md

NOTE: Do NOT commit here. All commits are deferred to Step 4a, after standards enforcement and the full test suite pass. This ensures no non-standard code is ever committed.

On TASK_FAILED:

1. Increment retry count in task file
2. If retry count >= 3:
   • Set status to blocked
   • Set blocked reason from error message
   • Update task table in _plan.md
3. If retry count < 3:
   • Keep status as pending (will retry in next batch)
   • Log the failure for visibility

Post-batch hook (this loop iteration). After all results for this batch are collected and statuses are updated, run the post-batch hook via the Hook Discovery routine with HOOK = post-batch. Any non-zero exit stops the run. Because this runs on every loop iteration, honoring the empty-hook fast no-op is important: if no agents are enrolled, return immediately — log nothing, do no work — so unconfigured loops add zero overhead.

Step 7: Report Progress

After processing the batch, output:

Batch complete:
  Completed: {list of completed task numbers}
  Failed (will retry): {list of failed tasks with retry < 3}
  Blocked: {list of newly blocked tasks}

Progress: {completed}/{total} tasks
Ready for next batch: {count of newly ready tasks}

Step 8: Continue Loop

Return to Step 3 and find the next batch of ready tasks.

Continue until:

• ALL_TASKS_COMPLETE - All tasks finished successfully
• TASKS_BLOCKED: [list] - No progress possible

Handling Edge Cases

Task Already In Progress

If a task has status in_progress (from interrupted previous run):

• Treat it as pending and include in ready check
• The worker will pick up where it left off based on [x] marks

Partial Completion

If some requirements are already [x] in a task:

• Worker will skip those and continue with unchecked ones
• This enables resumption after interruption

Dependency on Blocked Task

If task A depends on blocked task B:

• Task A can never become ready
• It should be reported in final TASKS_BLOCKED output

Test Failures in Completed Requirements

If a previously passing test starts failing:

• Worker should report TASK_FAILED
• Investigation needed - likely a breaking change

Session Persistence (Automatic)

The orchestrator automatically uses ralph-wiggum for session persistence if installed (see Step 0).

• If ralph-wiggum is installed: Execution automatically wraps with /ralph-wiggum:loop for session recovery
• If not installed: A warning is shown, but execution continues without persistence

The orchestrator outputs ALL_TASKS_COMPLETE when done, which satisfies ralph-wiggum's completion promise.

If blocked, it outputs TASKS_BLOCKED: [...] which will NOT satisfy the promise, but provides visibility into what's blocking progress.

Output Summary

Final output should be one of:

Success:

ALL_TASKS_COMPLETE

Plan: {plan-name}
Total tasks: {N}
All tests passing.
Post-implementation hooks complete.
Commits created: {N}

## What Changed

{Brief, high-level summary of what was built or changed. Write this as a bulleted list
describing the user-visible outcomes — not implementation details. Derive this from the
completed task titles and the plan objective. For example:}

- Added visitor name column to the detail table
- Linked visitor rows to their detail pages
- Reordered columns to match design spec
- Added sorting to all new columns

NOTE: The "What Changed" section should read like release notes — focus on outcomes, not internals. Pull from the plan's objective and completed task summaries.

After displaying the success output, prompt the user about pushing and creating a PR:

Would you like to push this branch and create a pull request?

1. **Yes, push and create PR** - I'll push feature/{plan-name} and open a PR
2. **Just push** - I'll push the branch, you can create the PR later
3. **No thanks** - Keep everything local for now

Never push or create a PR without the user's explicit permission. Wait for their response before taking action. If they choose option 1, push and use gh pr create with a summary derived from the plan objective and "What Changed" section.

Linking GitHub Issues: Check _plan.md for the ## Related Issues field. If it contains issue references (e.g., Closes #18), include them in the PR body so GitHub automatically links and closes the issues when the PR is merged. Place them at the end of the PR body, each on its own line.

Blocked:

TASKS_BLOCKED: [003, 007]

Plan: {plan-name}
Completed: {X}/{N}
Blocked tasks:
  003: {blocked reason}
  007: {blocked reason}

Manual intervention required for blocked tasks.

Partial Progress (for visibility during execution):

Batch {X} complete.
Progress: {completed}/{total}
Continuing...

Performance Expectations

With proper parallelization:

• 10 independent tasks: ~1-2 batches
• 50 tasks with shallow dependencies: ~3-5 batches
• 100 tasks: ~5-10 batches

Each batch runs tasks in parallel, dramatically reducing total time compared to sequential execution.