CFN Docker Redis Coordination Skill
**Purpose:** Provide Redis-based coordination, state management, and communication for container-based CFN Loop execution with swarm recovery capabilities.
Best use case
CFN Docker Redis Coordination Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
**Purpose:** Provide Redis-based coordination, state management, and communication for container-based CFN Loop execution with swarm recovery capabilities.
Teams using CFN Docker Redis Coordination Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cfn-docker-redis-coordination/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How CFN Docker Redis Coordination Skill Compares
| Feature / Agent | CFN Docker Redis Coordination Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
**Purpose:** Provide Redis-based coordination, state management, and communication for container-based CFN Loop execution with swarm recovery capabilities.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# CFN Docker Redis Coordination Skill
**Purpose:** Provide Redis-based coordination, state management, and communication for container-based CFN Loop execution with swarm recovery capabilities.
## Overview
This skill manages all Redis-based coordination activities for docker-based agents, including task context storage, agent state management, completion signaling, consensus collection, and swarm recovery.
## Architecture
```bash
CFN Docker Coordinator
↓ (context storage)
Redis (State Management)
↓ (pub/sub messaging)
Agent Containers
↓ (completion signals)
Consensus Collection
↓ (decision flow)
Product Owner Decision
```
## Core Functions
### 1. Task Context Management
Store and retrieve task context for swarm recovery:
```bash
# Store task context
cfn-docker-redis-coordination store-context \
--task-id task-authentication \
--context-file task-context.json \
--ttl 3600
# Retrieve task context
cfn-docker-redis-coordination get-context \
--task-id task-authentication \
--agent-id agent-frontend-001
```
### 2. Agent Registration and Status
Track agent lifecycle and status:
```bash
# Register agent
cfn-docker-redis-coordination register-agent \
--agent-id agent-frontend-001 \
--agent-type react-frontend-engineer \
--container-id abc123 \
--task-id task-authentication
# Update agent status
cfn-docker-redis-coordination update-status \
--agent-id agent-frontend-001 \
--status running \
--iteration 1
```
### 3. Completion Signaling
Handle agent completion and confidence reporting:
```bash
# Signal completion
cfn-docker-redis-coordination signal-complete \
--agent-id agent-frontend-001 \
--task-id task-authentication \
--confidence 0.85 \
--iteration 1
```
### 4. Consensus Collection
Collect and analyze consensus from validators:
```bash
# Collect Loop 2 consensus
cfn-docker-redis-coordination collect-consensus \
--task-id task-authentication \
--loop-number 2 \
--required-consensus 0.90 \
--timeout 300
```
### 5. Swarm Recovery
Enable recovery from interruptions with state persistence:
```bash
# Recover swarm state
cfn-docker-redis-coordination recover-swarm \
--task-id task-authentication \
--restart-failed-agents
```
## Redis Data Structure
### Task Context Storage
```redis
# Task context (JSON)
HSET "cfn_docker:task:{task_id}:context" \
"epic_goal" "Implement user authentication" \
"deliverables" '["auth-service.js","login-form.html"]' \
"acceptance_criteria" '["Users can register","Login works","Passwords encrypted"]' \
"in_scope" '["authentication","security"]' \
"out_of_scope" '["user profiles","social login"]'
# Context metadata
HSET "cfn_docker:task:{task_id}:meta" \
"created_at" "2025-01-15T10:00:00Z" \
"ttl" "3600" \
"created_by" "cfn-docker-v3-coordinator"
```
### Agent State Management
```redis
# Agent registration
HSET "cfn_docker:agent:{agent_id}" \
"agent_type" "react-frontend-engineer" \
"container_id" "abc123" \
"task_id" "task-authentication" \
"status" "running" \
"iteration" "1" \
"created_at" "2025-01-15T10:05:00Z"
# Agent status history
LPUSH "cfn_docker:agent:{agent_id}:status_history" \
'{"status":"spawning","timestamp":"2025-01-15T10:05:00Z"}' \
'{"status":"running","timestamp":"2025-01-15T10:06:00Z"}'
```
### Completion Signaling
```redis
# Agent completion signal
LPUSH "cfn_docker:task:{task_id}:agent:{agent_id}:done" "complete"
# Confidence reporting
HSET "cfn_docker:task:{task_id}:confidence:{agent_id}" \
"confidence" "0.85" \
"iteration" "1" \
"reported_at" "2025-01-15T10:30:00Z" \
"agent_type" "react-frontend-engineer"
```
### Consensus Tracking
```redis
# Loop 2 consensus collection
HSET "cfn_docker:task:{task_id}:loop2:consensus" \
"total_validators" "3" \
"responses_received" "3" \
"average_confidence" "0.92" \
"consensus_reached" "true" \
"decision" "PROCEED"
# Individual validator responses
HSET "cfn_docker:task:{task_id}:loop2:validator:{validator_id}" \
"confidence" "0.90" \
"feedback" "Implementation meets requirements" \
"suggested_changes" "None" \
"iteration" "1"
```
## Usage Patterns
### Task Initialization
```bash
# Initialize coordination for new task
cfn-docker-redis-coordination init-task \
--task-id task-authentication \
--context-file task-context.json \
--loop-count 5 \
--consensus-threshold 0.90
```
### Agent Lifecycle Management
```bash
# Register multiple agents
for agent in frontend backend security; do
cfn-docker-redis-coordination register-agent \
--agent-id "agent-${agent}-001" \
--agent-type "${agent}-developer" \
--task-id task-authentication
done
# Monitor agent status
cfn-docker-redis-coordination monitor-agents \
--task-id task-authentication \
--wait-for-complete
```
### Loop Orchestration Support
```bash
# Wait for Loop 3 completion
cfn-docker-redis-coordination wait-loop \
--task-id task-authentication \
--loop-number 3 \
--agent-count 3 \
--timeout 600
# Collect Loop 2 consensus
cfn-docker-redis-coordination collect-consensus \
--task-id task-authentication \
--loop-number 2 \
--required-consensus 0.90
```
### Swarm Recovery
```bash
# Check for recoverable tasks
cfn-docker-redis-coordination list-recoverable-tasks
# Recover specific task
cfn-docker-redis-coordination recover-task \
--task-id task-authentication \
--restart-incomplete-agents
```
## Integration Points
### With CFN Docker Agent Spawning
```bash
# Agent spawning calls coordination
AGENT_ID=$(cfn-docker-agent-spawn --agent-type ${AGENT_TYPE} --task-id ${TASK_ID})
cfn-docker-redis-coordination register-agent \
--agent-id ${AGENT_ID} \
--agent-type ${AGENT_TYPE} \
--task-id ${TASK_ID}
```
### With CFN Docker Loop Orchestration
```bash
# Loop orchestration uses coordination for state
cfn-docker-loop-orchestration execute-loop3 \
--task-id ${TASK_ID} \
--agent-count 3 \
--coordination redis
```
### With CFN Docker Skill Selection
```bash
# Store MCP selection in Redis
MCP_CONFIG=$(cfn-docker-skill-mcp-selector select --agent-type ${AGENT_TYPE})
cfn-docker-redis-coordination store \
--key "agent:${AGENT_ID}:mcp-config" \
--value "${MCP_CONFIG}"
```
## Error Handling and Recovery
### Connection Resilience
```bash
# Redis connection retry
cfn-docker-redis-coordination connect \
--host redis \
--port 6379 \
--retry-attempts 5 \
--retry-delay 5
```
### Data Integrity
```bash
# Validate stored data
cfn-docker-redis-coordination validate \
--task-id task-authentication \
--repair-corrupted
```
### Timeout Management
```bash
# Handle operation timeouts
cfn-docker-redis-coordination timeout-handler \
--task-id task-authentication \
--agent-timeout 600 \
--consensus-timeout 300
```
## Performance Optimization
### Connection Pooling
- Use Redis connection pools for high-frequency operations
- Implement connection reuse across operations
- Configure appropriate pool sizes based on load
### Data Expiration
- Set TTLs on all temporary data
- Use automatic cleanup for expired data
- Implement manual cleanup for large datasets
### Memory Management
- Use Redis memory optimization techniques
- Compress large JSON objects
- Implement data partitioning for large tasks
### Batch Operations
```bash
# Batch agent registration
cfn-docker-redis-coordination batch-register \
--agent-list agents.json \
--task-id task-authentication
# Batch status updates
cfn-docker-redis-coordination batch-update-status \
--status-list status-updates.json
```
## Monitoring and Observability
### Health Checks
```bash
# Redis health check
cfn-docker-redis-coordination health-check \
--test-connection \
--test-memory \
--test-latency
# Task health monitoring
cfn-docker-redis-coordination monitor-task \
--task-id task-authentication \
--alert-stalled-agents
```
### Metrics Collection
```bash
# Performance metrics
cfn-docker-redis-coordination metrics \
--task-id task-authentication \
--include-memory \
--include-latency \
--include-throughput
# Agent performance tracking
cfn-docker-redis-coordination agent-metrics \
--task-id task-authentication \
--agent-id agent-frontend-001
```
### Audit Logging
```bash
# Enable audit logging
cfn-docker-redis-coordination audit-enable \
--log-level info \
--include-operations \
--include-data-changes
```
## Security Considerations
### Access Control
- Implement Redis authentication (AUTH command)
- Use ACLs for fine-grained access control
- Network isolation with Redis in private networks
### Data Encryption
- Enable Redis TLS for encrypted communication
- Encrypt sensitive data at rest
- Use secure key management for tokens
### Data Sanitization
- Sanitize all data before storage
- Validate data formats and sizes
- Prevent Redis injection attacks
## Best Practices
### Data Structure Design
- Use consistent key naming conventions
- Implement proper data versioning
- Use appropriate Redis data types for different use cases
### Performance Optimization
- Monitor Redis memory usage
- Implement appropriate eviction policies
- Use Redis clustering for large-scale deployments
### Operational Excellence
- Implement comprehensive monitoring
- Set up automated alerts for anomalies
- Regular backup and recovery testing
## Troubleshooting
### Common Issues
1. **Connection Failures**: Check Redis server status and network connectivity
2. **Memory Issues**: Monitor Redis memory usage and implement proper eviction policies
3. **Data Corruption**: Implement data validation and repair mechanisms
4. **Performance Issues**: Optimize queries and use appropriate indexing
### Debug Commands
```bash
# Debug connection issues
cfn-docker-redis-coordination debug-connection \
--host redis \
--port 6379 \
--verbose
# Debug data issues
cfn-docker-redis-coordination debug-data \
--task-id task-authentication \
--check-integrity \
--show-structure
# Debug performance
cfn-docker-redis-coordination debug-performance \
--task-id task-authentication \
--monitor-latency \
--show-memory-usage
```
## Configuration
### Environment Variables
```bash
# Redis connection
CFN_DOCKER_REDIS_HOST=localhost
CFN_DOCKER_REDIS_PORT=6379
CFN_DOCKER_REDIS_PASSWORD=
CFN_DOCKER_REDIS_DB=0
# Timeouts and limits
CFN_DOCKER_REDIS_TIMEOUT=30
CFN_DOCKER_REDIS_MAX_RETRIES=5
CFN_DOCKER_REDIS_POOL_SIZE=10
# Data management
CFN_DOCKER_REDIS_DEFAULT_TTL=3600
CFN_DOCKER_REDIS_MAX_MEMORY=1gb
CFN_DOCKER_REDIS_EVICTION_POLICY=allkeys-lru
```
### Redis Configuration
```conf
# redis.conf recommendations for CFN Docker
maxmemory 1gb
maxmemory-policy allkeys-lru
save 900 1
save 300 10
save 60 10000
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