270 lines
9.2 KiB
Markdown
270 lines
9.2 KiB
Markdown
---
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name: sprint
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description: |
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Workspace sprint runner. Reads queue.json, spawns parallel agent teams across projects,
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manages lifecycle (commit, push, next task), tracks progress. The main operational mode
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for ArcheFlow in multi-project workspaces.
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<example>User: "af-sprint"</example>
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<example>User: "Run the sprint"</example>
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<example>User: "af-sprint --slots 5 --dry-run"</example>
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---
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# Workspace Sprint Runner
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Read the task queue, spawn parallel agents across projects, collect results, commit+push,
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spawn next batch. Repeat until the queue is drained or budget is exhausted.
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## When to Use
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This is the **primary operational mode** for ArcheFlow in multi-project workspaces.
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Use it when the user says "run the sprint", "work the queue", "go autonomous", or
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invokes `af-sprint`.
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Do NOT use `archeflow:run` for individual tasks within a sprint — the sprint runner
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handles task dispatch internally, using `archeflow:run` only when a task warrants
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full PDCA orchestration.
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## Prerequisites
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- `docs/orchestra/queue.json` — task queue (managed by `./scripts/ws`)
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- `./scripts/ws` — workspace CLI for queue operations
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- Each project is a separate git repo under the workspace root
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## Invocation
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```
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af-sprint # Run sprint with defaults (4 slots, AUTONOM mode)
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af-sprint --slots 5 # Max 5 parallel agents
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af-sprint --dry-run # Show what would run, don't execute
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af-sprint --priority P0,P1 # Only process P0 and P1 items
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af-sprint --project writing.colette # Only process items for this project
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```
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---
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## Execution Protocol
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### Step 0: Orient
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```bash
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# Load queue and workspace state
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QUEUE=$(cat docs/orchestra/queue.json)
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MODE=$(echo "$QUEUE" | jq -r '.mode')
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```
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Check mode:
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- `AUTONOM` → proceed without asking
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- `ATTENDED` → show plan, wait for user approval before each batch
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- `PAUSED` → report status only, do not start tasks
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Show one-line status:
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```
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sprint: AUTONOM · 7 pending (1×P0, 1×P2, 5×P3) · 4 slots
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```
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### Step 1: Select Batch
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Pick tasks for the next batch. Rules:
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1. **Priority cascade**: P0 first, then P1, then P2. Never start P3 unless user explicitly includes it.
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2. **Dependency check**: Skip tasks whose `depends_on` items aren't all `completed`.
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3. **One agent per project**: Never run two tasks on the same project simultaneously.
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4. **Cost-aware concurrency**:
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- Estimate task cost from `estimate` field: S=cheap, M=moderate, L=expensive, XL=very expensive
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- **Expensive tasks** (L, XL): max 2 concurrent
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- **Cheap tasks** (S, M): fill remaining slots
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- Target mix: 1-2 expensive + 2-3 cheap = 4-5 total
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5. **Slot limit**: Never exceed `--slots` (default 4).
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```python
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# Pseudocode for batch selection
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batch = []
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used_projects = set()
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expensive_count = 0
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for priority in ["P0", "P1", "P2"]:
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for task in queue_items(priority, status="pending"):
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if len(batch) >= MAX_SLOTS:
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break
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if task.project in used_projects:
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continue # One agent per project
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if not deps_satisfied(task):
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continue
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if task.estimate in ("L", "XL"):
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if expensive_count >= 2:
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continue
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expensive_count += 1
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batch.append(task)
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used_projects.add(task.project)
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```
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### Step 2: Assess and Dispatch
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For each task in the batch, decide the execution strategy:
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| Signal | Strategy | What happens |
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|--------|----------|-------------|
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| Estimate S, clear scope | **Direct** | Spawn Agent() with task description, no orchestration |
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| Estimate M, multi-file | **Pipeline** | Spawn Agent() with af-run --strategy pipeline |
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| Estimate L/XL, complex | **PDCA** | Spawn Agent() with af-run --strategy pdca |
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| Task contains "validate", "test", "lint", "check" | **Direct** | Cheap analytical task, no orchestration |
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| Task contains "review", "audit", "security" | **Review** | Spawn Guardian + relevant reviewers only |
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**Agent spawn template:**
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For each task in the batch, spawn an Agent in the SAME message (parallel dispatch):
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```
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Agent(
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description: "<project>: <task-short>",
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prompt: "You are working on project <project> at <path>.
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Task: <task description>
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<notes if any>
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Rules:
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- Read the project's CLAUDE.md first
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- Commit with: git -c user.signingkey=/home/c/.ssh/id_ed25519_dev.pub commit
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- NO Co-Authored-By trailers
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- Conventional commits
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- Push when done: GIT_SSH_COMMAND='ssh -i /home/c/.ssh/id_ed25519_dev -o IdentitiesOnly=yes' git push origin main
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- Run tests if the project has them
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- Report: what you did, what changed, any blockers
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STATUS: DONE | DONE_WITH_CONCERNS | NEEDS_CONTEXT | BLOCKED",
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subagent_type: "general-purpose",
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isolation: "worktree" # Only for L/XL tasks; S/M tasks run directly
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)
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```
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**CRITICAL: Spawn all batch agents in a SINGLE message.** This enables parallel execution.
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Do not spawn them sequentially.
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### Step 3: Mark Running
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After spawning, update the queue:
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```bash
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# For each spawned task
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./scripts/ws start <task-id> # or manually update queue.json status to "running"
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```
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If `./scripts/ws start` doesn't exist, update queue.json directly:
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```python
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task["status"] = "running"
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# Write back to docs/orchestra/queue.json
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```
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### Step 4: Collect Results
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As agents complete, process their results:
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1. **Parse status token** from agent output (last line: `STATUS: DONE|...`)
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2. **Based on status**:
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- `DONE` → mark completed, note result
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- `DONE_WITH_CONCERNS` → mark completed, log concerns for user review
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- `NEEDS_CONTEXT` → mark pending, add concern to notes, skip for now
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- `BLOCKED` → mark failed, add blocker to notes
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3. **Update queue**:
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```bash
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./scripts/ws done <task-id> -r "<summary of what was done>"
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# or
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./scripts/ws fail <task-id> -r "<reason>"
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```
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### Step 5: Report and Loop
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After batch completes, show sprint status:
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```
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── Sprint Batch 1 ──────────────────────────────
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✓ writing.colette fanout run done (45s)
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✓ book.3sets validation done (30s)
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△ book.sos meta-book concept needs_context (missing outline)
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✓ tool.archeflow af-review mode done (60s)
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Queue: 3 completed, 1 blocked, 3 remaining
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Next batch: 2 items ready
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────────────────────────────────────────────────
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```
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Then **immediately select and dispatch the next batch** (Step 1). Don't wait for user input in AUTONOM mode.
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### Step 6: Sprint Complete
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When no more tasks are schedulable (all done, blocked, or P3-only):
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1. Update `docs/control-center.md` Handoff section
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2. Run `./scripts/ws log --summary "<sprint summary>"` if available
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3. Show final sprint report:
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```
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── Sprint Complete ─────────────────────────────
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Duration: 12 min
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Tasks: 5 completed, 1 blocked, 1 remaining (P3)
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Projects touched: 4
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Commits: 7
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────────────────────────────────────────────────
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```
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---
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## Mode Behavior
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### AUTONOM
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- Dispatch immediately, no user confirmation
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- Commit + push after each agent completes
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- Only pause for BLOCKED tasks or budget exhaustion
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- Report between batches (one-line status)
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### ATTENDED
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- Show the selected batch before dispatching
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- Wait for user to approve: "Proceed with this batch? [y/n]"
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- After each batch, show results and ask: "Continue to next batch? [y/n/edit]"
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- "edit" lets the user reprioritize before next batch
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### PAUSED
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- Show queue status only
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- Do not dispatch any agents
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- Useful for reviewing state between sessions
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---
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## When to Use ArcheFlow Orchestration Within Sprint
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Most sprint tasks should be **direct agent dispatch** (no PDCA/pipeline overhead).
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Only escalate to full orchestration when:
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| Signal | Action |
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|--------|--------|
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| Task is S/M, clear scope, single project | Direct dispatch |
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| Task is L/XL | Use pipeline or PDCA strategy |
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| Task mentions "security", "auth", "encryption" | Add Guardian review |
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| Task is a review/audit | Spawn reviewers only (af-review mode) |
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| Task failed in a previous sprint | Escalate to PDCA with Explorer |
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The sprint runner's job is **throughput**, not perfection. Ship fast, fix forward.
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---
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## Integration with Existing Tools
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| Tool | How sprint uses it |
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|------|-------------------|
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| `./scripts/ws next` | Get next schedulable task |
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| `./scripts/ws done <id>` | Mark task completed |
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| `./scripts/ws fail <id>` | Mark task failed |
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| `./scripts/ws orient` | Initial workspace overview |
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| `./scripts/ws validate` | Pre-flight queue validation |
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| `git` per project | Commit + push after each agent |
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| `archeflow:run` | Only for L/XL tasks needing PDCA |
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---
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## Error Recovery
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- **Agent crashes mid-task**: Mark task as `failed`, add error to notes, continue with next batch
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- **Git push fails**: Log the error, do NOT retry. User will handle push conflicts manually.
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- **Queue file corrupted**: Run `./scripts/ws validate`. If invalid, stop sprint and report.
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- **Budget exceeded**: Stop sprint, report remaining tasks and estimated cost.
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- **All tasks blocked**: Report dependency graph, suggest which blockers to resolve first.
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