msd-core/get-shit-done/workflows/execute-phase.md

Execute all plans in a phase using wave-based parallel execution. Orchestrator stays lean — delegates plan execution to subagents.

<core_principle> Orchestrator coordinates, not executes. Each subagent loads the full execute-plan context. Orchestrator: discover plans → analyze deps → group waves → spawn agents → handle checkpoints → collect results. </core_principle>

<required_reading> Read STATE.md before any operation to load project context. </required_reading>

Load all context in one call (include file contents to avoid redundant reads):

INIT=$(node ~/.claude/get-shit-done/bin/gsd-tools.js init execute-phase "${PHASE_ARG}" --include state,config)

Parse JSON for: executor_model, verifier_model, commit_docs, parallelization, branching_strategy, branch_name, phase_found, phase_dir, phase_number, phase_name, phase_slug, plans, incomplete_plans, plan_count, incomplete_count, state_exists, roadmap_exists.

File contents (from --include): state_content, config_content. These are null if files don't exist.

If phase_found is false: Error — phase directory not found. If plan_count is 0: Error — no plans found in phase. If state_exists is false but .planning/ exists: Offer reconstruct or continue.

When parallelization is false, plans within a wave execute sequentially.

Check `branching_strategy` from init:

"none": Skip, continue on current branch.

"phase" or "milestone": Use pre-computed branch_name from init:

git checkout -b "$BRANCH_NAME" 2>/dev/null || git checkout "$BRANCH_NAME"

All subsequent commits go to this branch. User handles merging.

From init JSON: `phase_dir`, `plan_count`, `incomplete_count`.

Report: "Found {plan_count} plans in {phase_dir} ({incomplete_count} incomplete)"

Load plan inventory with wave grouping in one call:

PLAN_INDEX=$(node ~/.claude/get-shit-done/bin/gsd-tools.js phase-plan-index "${PHASE_NUMBER}")

Parse JSON for: phase, plans[] (each with id, wave, autonomous, objective, files_modified, task_count, has_summary), waves (map of wave number → plan IDs), incomplete, has_checkpoints.

Filtering: Skip plans where has_summary: true. If --gaps-only: also skip non-gap_closure plans. If all filtered: "No matching incomplete plans" → exit.

Report:

## Execution Plan

**Phase {X}: {Name}** — {total_plans} plans across {wave_count} waves

| Wave | Plans | What it builds |
|------|-------|----------------|
| 1 | 01-01, 01-02 | {from plan objectives, 3-8 words} |
| 2 | 01-03 | ... |

Execute each wave in sequence. Within a wave: parallel if `PARALLELIZATION=true`, sequential if `false`.

For each wave:

1. Describe what's being built (BEFORE spawning):

   Read each plan's <objective>. Extract what's being built and why.

   ---
   ## Wave {N}
   
   **{Plan ID}: {Plan Name}**
   {2-3 sentences: what this builds, technical approach, why it matters}
   
   Spawning {count} agent(s)...
   ---
   

   • Bad: "Executing terrain generation plan"
   • Good: "Procedural terrain generator using Perlin noise — creates height maps, biome zones, and collision meshes. Required before vehicle physics can interact with ground."

2. Read files and spawn agents:

   Content must be inlined — @ syntax doesn't work across Task() boundaries. STATE and CONFIG are already loaded via --include in initialize step.

   PLAN_CONTENT=$(cat "{plan_path}")
   # Use state_content and config_content from INIT (no need to re-read)
   STATE_CONTENT=$(echo "$INIT" | jq -r '.state_content // empty')
   CONFIG_CONTENT=$(echo "$INIT" | jq -r '.config_content // empty')
   

   Each agent prompt:

   <objective>
   Execute plan {plan_number} of phase {phase_number}-{phase_name}.
   Commit each task atomically. Create SUMMARY.md. Update STATE.md.
   </objective>
   
   <execution_context>
   @~/.claude/get-shit-done/workflows/execute-plan.md
   @~/.claude/get-shit-done/templates/summary.md
   @~/.claude/get-shit-done/references/checkpoints.md
   @~/.claude/get-shit-done/references/tdd.md
   </execution_context>
   
   <context>
   Plan:
   {plan_content}
   
   Project state:
   {state_content}
   
   Config (if exists):
   {config_content}
   </context>
   
   <success_criteria>
   - [ ] All tasks executed
   - [ ] Each task committed individually
   - [ ] SUMMARY.md created in plan directory
   - [ ] STATE.md updated with position and decisions
   </success_criteria>
   

3. Wait for all agents in wave to complete.

4. Report completion — spot-check claims first:

   For each SUMMARY.md:

   • Verify first 2 files from key-files.created exist on disk
   • Check git log --oneline --all --grep="{phase}-{plan}" returns ≥1 commit
   • Check for ## Self-Check: FAILED marker

   If ANY spot-check fails: report which plan failed, route to failure handler — ask "Retry plan?" or "Continue with remaining waves?"

   If pass:

   ---
   ## Wave {N} Complete
   
   **{Plan ID}: {Plan Name}**
   {What was built — from SUMMARY.md}
   {Notable deviations, if any}
   
   {If more waves: what this enables for next wave}
   ---
   

   • Bad: "Wave 2 complete. Proceeding to Wave 3."
   • Good: "Terrain system complete — 3 biome types, height-based texturing, physics collision meshes. Vehicle physics (Wave 3) can now reference ground surfaces."

5. Handle failures: Report which plan failed → ask "Continue?" or "Stop?" → if continue, dependent plans may also fail. If stop, partial completion report.

6. Execute checkpoint plans between waves — see <checkpoint_handling>.

7. Proceed to next wave.

Plans with `autonomous: false` require user interaction.

Flow:

1. Spawn agent for checkpoint plan
2. Agent runs until checkpoint task or auth gate → returns structured state
3. Agent return includes: completed tasks table, current task + blocker, checkpoint type/details, what's awaited
4. Present to user:

   ## Checkpoint: [Type]
   
   **Plan:** 03-03 Dashboard Layout
   **Progress:** 2/3 tasks complete
   
   [Checkpoint Details from agent return]
   [Awaiting section from agent return]
   

5. User responds: "approved"/"done" | issue description | decision selection
6. Spawn continuation agent (NOT resume) using continuation-prompt.md template:
   • {completed_tasks_table}: From checkpoint return
   • {resume_task_number} + {resume_task_name}: Current task
   • {user_response}: What user provided
   • {resume_instructions}: Based on checkpoint type
7. Continuation agent verifies previous commits, continues from resume point
8. Repeat until plan completes or user stops

Why fresh agent, not resume: Resume relies on internal serialization that breaks with parallel tool calls. Fresh agents with explicit state are more reliable.

Checkpoints in parallel waves: Agent pauses and returns while other parallel agents may complete. Present checkpoint, spawn continuation, wait for all before next wave.

After all waves:

## Phase {X}: {Name} Execution Complete

**Waves:** {N} | **Plans:** {M}/{total} complete

| Wave | Plans | Status |
|------|-------|--------|
| 1 | plan-01, plan-02 | ✓ Complete |
| CP | plan-03 | ✓ Verified |
| 2 | plan-04 | ✓ Complete |

### Plan Details
1. **03-01**: [one-liner from SUMMARY.md]
2. **03-02**: [one-liner from SUMMARY.md]

### Issues Encountered
[Aggregate from SUMMARYs, or "None"]

Verify phase achieved its GOAL, not just completed tasks.

Task(
  prompt="Verify phase {phase_number} goal achievement.
Phase directory: {phase_dir}
Phase goal: {goal from ROADMAP.md}
Check must_haves against actual codebase. Create VERIFICATION.md.",
  subagent_type="gsd-verifier",
  model="{verifier_model}"
)

Read status:

grep "^status:" "$PHASE_DIR"/*-VERIFICATION.md | cut -d: -f2 | tr -d ' '

Status	Action
passed	→ update_roadmap
human_needed	Present items for human testing, get approval or feedback
gaps_found	Present gap summary, offer /gsd:plan-phase {phase} --gaps

If human_needed:

## ✓ Phase {X}: {Name} — Human Verification Required

All automated checks passed. {N} items need human testing:

{From VERIFICATION.md human_verification section}

"approved" → continue | Report issues → gap closure

If gaps_found:

## ⚠ Phase {X}: {Name} — Gaps Found

**Score:** {N}/{M} must-haves verified
**Report:** {phase_dir}/{phase}-VERIFICATION.md

### What's Missing
{Gap summaries from VERIFICATION.md}

---
## ▶ Next Up

`/gsd:plan-phase {X} --gaps`

<sub>`/clear` first → fresh context window</sub>

Also: `cat {phase_dir}/{phase}-VERIFICATION.md` — full report
Also: `/gsd:verify-work {X}` — manual testing first

Gap closure cycle: /gsd:plan-phase {X} --gaps reads VERIFICATION.md → creates gap plans with gap_closure: true → user runs /gsd:execute-phase {X} --gaps-only → verifier re-runs.

Mark phase complete in ROADMAP.md (date, status).

node ~/.claude/get-shit-done/bin/gsd-tools.js commit "docs(phase-{X}): complete phase execution" --files .planning/ROADMAP.md .planning/STATE.md .planning/phases/{phase_dir}/*-VERIFICATION.md .planning/REQUIREMENTS.md

If more phases:

## Next Up

**Phase {X+1}: {Name}** — {Goal}

`/gsd:plan-phase {X+1}`

<sub>`/clear` first for fresh context</sub>

If milestone complete:

MILESTONE COMPLETE!

All {N} phases executed.

`/gsd:complete-milestone`

<context_efficiency> Orchestrator: ~10-15% context. Subagents: fresh 200k each. No polling (Task blocks). No context bleed. </context_efficiency>

<failure_handling>

• Agent fails mid-plan: Missing SUMMARY.md → report, ask user how to proceed
• Dependency chain breaks: Wave 1 fails → Wave 2 dependents likely fail → user chooses attempt or skip
• All agents in wave fail: Systemic issue → stop, report for investigation
• Checkpoint unresolvable: "Skip this plan?" or "Abort phase execution?" → record partial progress in STATE.md </failure_handling>

Re-run `/gsd:execute-phase {phase}` → discover_plans finds completed SUMMARYs → skips them → resumes from first incomplete plan → continues wave execution.

STATE.md tracks: last completed plan, current wave, pending checkpoints.