--- name: implement description: | Execute implementation plans from beads issues. Detects swarm epics and spawns teams for parallel work. Triggers: 'implement', 'build this', 'execute plan', 'start work'. allowed-tools: Bash, Read, Task, SendMessage, TaskCreate, TaskUpdate, TaskList, TaskGet, TeamCreate, TeamDelete argument-hint: "[beads-issue-id] [--solo]" --- # Implement Execute work from beads issues. Spawns Claude teams for parallel execution when beads swarm has multiple ready tasks. ## Arguments - `beads-issue-id` — epic or task ID (optional) - `--solo` — force single-agent mode even for swarms ## Step 1: Find Work - If ID in `$ARGUMENTS` → use it - Else: `bd list --status=in_progress --type=epic` → first result (Swarm Mode) - Else: `bd list --status=open --type=epic` → check each for swarm molecule (`bd swarm status ` succeeds) → first swarmable epic (Swarm Mode) - Else: `bd list --status=in_progress` → first result (Solo Mode) - Else: `bd ready` → first result (Solo Mode) - Nothing found → exit, suggest `/explore` then `/prepare` ## Step 2: Classify Issue Run `bd show --json` to inspect. **Epic?** → issue_type is "epic" → **Swarm Mode** (unless `--solo`) **Task with parent?** → has parent → read parent for context, **Solo Mode** **Standalone task?** → **Solo Mode** ## Swarm Mode ### Setup 1. `bd swarm validate --json` → parse waves 2. `bd show --json` → extract title + design field as epic_context 3. Create team: `TeamCreate(team_name="swarm-")` If TeamCreate fails → fall back to sequential Solo Mode: for each task in topological order (from bd swarm validate): bd update --claim Spawn single Task agent, wait for completion bd close Skip team cleanup (no team was created) 4. Read team config: `~/.claude/teams/swarm-/config.json` → extract the team lead's `name` field for injecting into worker prompts ### Wave Loop ``` while true: ready_tasks = bd ready --parent --json if empty → break for each task in ready_tasks: task_detail = bd show --json → description Spawn worker via Task tool (see Worker Spawn below) Wait for all workers to complete (messages + idle notifications) Verify: bd swarm status --json → check completed count # Recover stuck tasks before next wave stuck = bd list --status=in_progress --parent for each stuck task not in just-completed set: bd update --status open # release claim for retry bd update --notes "Released: worker failed in wave N" bd epic close-eligible bd close # molecule from bd swarm create Shutdown all teammates via SendMessage(type="shutdown_request") TeamDelete ``` ### Worker Spawn For each ready task, spawn via Task tool: ``` Task( subagent_type="general-purpose", team_name="swarm-", name="worker-", prompt= ) ``` ### Worker Prompt Template Before spawning, inject the team lead's actual name (from team config) into `` in the prompt template below. ``` You are a swarm worker. Implement beads task . ## Your Task ## Epic Context ## Protocol 1. FIRST: Claim your task atomically: bd update --claim If claim fails, someone else took it. Report and stop. 2. Read full context: bd show --json 3. Implement the work described in the task. 4. When done, close the task: bd close 5. Send completion message to team lead: Use SendMessage(type="message", recipient="", content="Completed : ", summary="Completed ") 6. Wait for shutdown request from team lead. When received, approve it. ## Rules - Only modify files described in your task - If you hit a file conflict or blocker, report it via SendMessage instead of forcing through - Do NOT work on other tasks after completing yours ``` ### Wave Completion Detection After spawning a wave of workers: 1. Track: spawned_count = N, completed_count = 0 2. As each worker sends completion message → completed_count++ 3. When completed_count == N → wave done, proceed to next 4. If a worker goes idle WITHOUT sending completion: - Check `bd swarm status --json` - If task still in_progress → worker is stuck/crashed - Log stuck task, decrement expected count - If all non-stuck workers done → proceed to next wave 5. Between waves: briefly report progress ("Wave N complete: M/N tasks done, K stuck") ### Parallel Spawning CRITICAL: When spawning multiple workers for a wave, spawn ALL of them in a SINGLE message using multiple Task tool calls. This ensures true parallel execution. Sequential spawning (one per message) makes waves run N× slower. ## Solo Mode 1. `bd update --claim` 2. Read scope from description and/or design field 3. If parent epic: `bd show --json` for context 4. Spawn single Task agent (`subagent_type=general-purpose`) - Pass task description + parent context - Worker claims, implements, closes 5. On completion: verify `bd show ` is closed 6. Report results ## Error Handling **No work found:** - No issue → suggest `/explore` then `/prepare` - Epic has no children → suggest `/prepare` **Worker failures:** - Claim fails (`bd update --claim` errors) → skip task, report - Worker goes idle without closing task → mark as stuck - Worker reports file conflict → log in beads notes, skip **Wave-level recovery:** - If some tasks in a wave fail but others succeed, still check `bd ready` — downstream tasks may be unblocked by the successful ones - Only abort entirely if ALL tasks in a wave fail **Reporting:** After all waves complete (or abort), report: - Total tasks: N completed, M stuck, K failed - Stuck task IDs (still in_progress in beads) - Whether epic was closed or left open

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