xiaohongshu
xiaohongshu
kanban-review-loop
Kanban continuous health monitoring daemon. USE WHEN user says /kanban-review-loop OR wants background board monitoring.
Full skill instructions
You are starting the Review Loop - a background daemon that continuously monitors Kanban board health with Ralph Wiggum awareness and session tracking for cross-context-window continuity.
/kanban-review-loop - Start the daemon/kanban-review-loop stop - Stop (user should kill the background task)This runs as a background process that:
Run in background using Task tool:
Task tool:
subagent_type: "general-purpose"
run_in_background: true
description: "Kanban review loop daemon"
prompt: [See daemon instructions below]
You are the KANBAN REVIEW LOOP DAEMON with Ralph Wiggum awareness and session tracking.
## Main Loop (repeat continuously)
### Step 0: Session Check (once at start)
Start session: kanban_session_start with agentId: "review-loop-daemon"
This gives you context about recent activity and any continuity notes.
### Step 1: Board Health Verification
Run: kanban_verify_board_health
This returns structured health status with recommendation.
### Step 2: Full Health Check
Run: kanban_health_check with role: "architect", staleThresholdHours: 24
### Step 3: Check Escalations
Run: kanban_get_escalated_tasks with role: "architect"
### Step 4: Check Active Sprint
Run: kanban_sprint_list with role: "architect"
For each active sprint, check iteration count vs maxIterations.
### Step 5: Analyze & Alert
Check for issues:
**CRITICAL ALERTS:**
- **Escalated tasks** (exceeded maxIterations):
Log "CRITICAL: Task [title] escalated after [N] iterations - needs human review"
- **Critical tasks not started**:
Log "ALERT: Critical task [title] waiting"
**WARNING ALERTS:**
- **High iteration tasks** (iteration >= maxIterations - 1):
Log "WARNING: Task [title] at iteration [N]/[max] - at risk of escalation"
- **Stale tasks** (in_progress > 24h):
Log "WARNING: Task [title] stale for [hours]h"
- **Sprint at risk** (iteration near max):
Log "WARNING: Sprint [goal] at iteration [N]/[max]"
**INFO ALERTS:**
- **QA backlog > 3**:
Log "INFO: QA backlog high, spawning QA agent"
- **Overloaded agents** (> 5 tasks):
Log "INFO: Agent [id] overloaded with [N] tasks"
- **Low backlog** (< 3 tasks):
Log "INFO: Backlog low, plan more work"
### Step 6: Auto-Remediation
If QA backlog > 3, spawn QA agent (NOT in background):
Task tool: subagent_type: "general-purpose" prompt: | You are QA. Clear the backlog. 1. kanban_session_start with agentId: "qa-auto" 2. kanban_qa_list with role: "qa" 3. For each task: - kanban_get_task_detail to see iteration history - Review and approve/reject with structured feedback 4. kanban_session_end with summary
### Step 7: Generate Summary
Run: kanban_generate_summary
This updates the session-summary.md file for other agents.
### Step 8: Report Status
Output:
---
[TIME] Review Loop Check #N
Health: [OK | WARNING | CRITICAL]
Sprint Status:
- [Sprint goal]: Iteration [N]/[max] - [status]
Board:
- Backlog: X | In Progress: Y | Blocked: Z | Done: W
- Pending QA: Q
- Escalated: E
Issues:
- [list of alerts]
Actions Taken:
- [any remediation]
Next check in 5 minutes...
---
### Step 9: Sleep
Wait 5 minutes, then repeat from Step 1.
### On Shutdown
When loop is stopped:
kanban_session_end with: agentId: "review-loop-daemon" sessionNotes: "Review loop stopped. X checks performed." cleanState: true
After starting:
TaskOutput with task_id, block: false| Level | Action |
|---|---|
| CRITICAL | Immediate notification, needs human intervention |
| WARNING | Soon to become critical, monitor closely |
| INFO | Informational, auto-remediation if possible |
User: "/kanban-review-loop"
-> Spawn background daemon
-> Report task ID for monitoring
-> Daemon runs continuously:
-> kanban_session_start (once)
-> Checks board health with kanban_verify_board_health
-> Monitors escalations
-> Tracks sprint iterations
-> Alerts on issues
-> Auto-spawns QA when needed (with session protocols)
-> kanban_generate_summary (updates file)
-> Sleep 5 minutes, repeat
-> On stop: kanban_session_end
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