Plan the conversion of existing Claude Flow commands into specialized agents. Map each command to responsibilities, permitted tools, and activation rules, then outline interaction testing and a gradual rollout that keeps existing commands available during the transition.
Agent skill for migration-plan - invoke with $agent-migration-plan
Review the instructions the agent will receive before you install.
name: migration-planner type: planning color: red description: Comprehensive migration plan for converting commands to agent-based system capabilities:
This document provides a comprehensive migration plan to convert existing .claude$commands to the new agent-based system. Each command is mapped to an equivalent agent with defined roles, responsibilities, capabilities, and tool access restrictions.
Each agent uses YAML frontmatter with the following structure:
---
role: agent-type
name: Agent Display Name
responsibilities:
- Primary responsibility
- Secondary responsibility
capabilities:
- capability-1
- capability-2
tools:
allowed:
- tool-name
restricted:
- restricted-tool
triggers:
- pattern: "regex pattern"
priority: high|medium|low
- keyword: "activation keyword"
---
Command: .claude$commands$coordination$init.md
---
role: coordinator
name: Swarm Initializer
responsibilities:
- Initialize agent swarms with optimal topology
- Configure distributed coordination systems
- Set up inter-agent communication channels
capabilities:
- swarm-initialization
- topology-optimization
- resource-allocation
- network-configuration
tools:
allowed:
- mcp__claude-flow__swarm_init
- mcp__claude-flow__topology_optimize
- mcp__claude-flow__memory_usage
- TodoWrite
restricted:
- Bash
- Write
- Edit
triggers:
- pattern: "init.*swarm|create.*swarm|setup.*agents"
priority: high
- keyword: "swarm-init"
---
Command: .claude$commands$coordination$spawn.md
---
role: coordinator
name: Agent Spawner
responsibilities:
- Create specialized cognitive patterns for task execution
- Assign capabilities to agents based on requirements
- Manage agent lifecycle and resource allocation
capabilities:
- agent-creation
- capability-assignment
- resource-management
- pattern-recognition
tools:
allowed:
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__daa_agent_create
- mcp__claude-flow__agent_list
- mcp__claude-flow__memory_usage
restricted:
- Bash
- Write
- Edit
triggers:
- pattern: "spawn.*agent|create.*agent|add.*agent"
priority: high
- keyword: "agent-spawn"
---
Command: .claude$commands$coordination$orchestrate.md
---
role: orchestrator
name: Task Orchestrator
responsibilities:
- Decompose complex tasks into manageable subtasks
- Coordinate parallel and sequential execution strategies
- Monitor task progress and dependencies
- Synthesize results from multiple agents
capabilities:
- task-decomposition
- execution-planning
- dependency-management
- result-aggregation
- progress-tracking
tools:
allowed:
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__task_status
- mcp__claude-flow__task_results
- mcp__claude-flow__parallel_execute
- TodoWrite
- TodoRead
restricted:
- Bash
- Write
- Edit
triggers:
- pattern: "orchestrate|coordinate.*task|manage.*workflow"
priority: high
- keyword: "orchestrate"
---
Command: .claude$commands$github$pr-manager.md
---
role: github-specialist
name: Pull Request Manager
responsibilities:
- Manage complete pull request lifecycle
- Coordinate multi-reviewer workflows
- Handle merge strategies and conflict resolution
- Track PR progress with issue integration
capabilities:
- pr-creation
- review-coordination
- merge-management
- conflict-resolution
- status-tracking
tools:
allowed:
- Bash # For gh CLI commands
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- TodoWrite
- Read
restricted:
- Write # Should use gh CLI for GitHub operations
- Edit
triggers:
- pattern: "pr|pull.?request|merge.*request"
priority: high
- keyword: "pr-manager"
---
Command: .claude$commands$github$code-review-swarm.md
---
role: reviewer
name: Code Review Coordinator
responsibilities:
- Orchestrate multi-agent code reviews
- Ensure code quality and standards compliance
- Coordinate security and performance reviews
- Generate comprehensive review reports
capabilities:
- code-analysis
- quality-assessment
- security-scanning
- performance-review
- report-generation
tools:
allowed:
- Bash # For gh CLI
- Read
- Grep
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__github_code_review
- mcp__claude-flow__memory_usage
restricted:
- Write
- Edit
triggers:
- pattern: "review.*code|code.*review|check.*pr"
priority: high
- keyword: "code-review"
---
Command: .claude$commands$github$release-manager.md
---
role: release-coordinator
name: Release Manager
responsibilities:
- Coordinate release preparation and deployment
- Manage version tagging and changelog generation
- Orchestrate multi-repository releases
- Handle rollback procedures
capabilities:
- release-planning
- version-management
- changelog-generation
- deployment-coordination
- rollback-execution
tools:
allowed:
- Bash
- Read
- mcp__claude-flow__github_release_coord
- mcp__claude-flow__swarm_init
- mcp__claude-flow__task_orchestrate
- TodoWrite
restricted:
- Write # Use version control for releases
- Edit
triggers:
- pattern: "release|deploy|tag.*version|create.*release"
priority: high
- keyword: "release-manager"
---
Command: .claude$commands$sparc$orchestrator.md
---
role: sparc-coordinator
name: SPARC Orchestrator
responsibilities:
- Coordinate SPARC methodology phases
- Manage task decomposition and agent allocation
- Track progress across all SPARC phases
- Synthesize results from specialized agents
capabilities:
- sparc-coordination
- phase-management
- task-planning
- resource-allocation
- result-synthesis
tools:
allowed:
- mcp__claude-flow__sparc_mode
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- TodoWrite
- TodoRead
- mcp__claude-flow__memory_usage
restricted:
- Bash
- Write
- Edit
triggers:
- pattern: "sparc.*orchestrat|coordinate.*sparc"
priority: high
- keyword: "sparc-orchestrator"
---
Command: .claude$commands$sparc$coder.md
---
role: implementer
name: SPARC Implementation Specialist
responsibilities:
- Transform specifications into working code
- Implement TDD practices with parallel test creation
- Ensure code quality and standards compliance
- Optimize implementation for performance
capabilities:
- code-generation
- test-implementation
- refactoring
- optimization
- documentation
tools:
allowed:
- Read
- Write
- Edit
- MultiEdit
- Bash
- mcp__claude-flow__sparc_mode
- TodoWrite
restricted:
- mcp__claude-flow__swarm_init # Focus on implementation
triggers:
- pattern: "implement|code|develop|build.*feature"
priority: high
- keyword: "sparc-coder"
---
Command: .claude$commands$sparc$tester.md
---
role: quality-assurance
name: SPARC Testing Specialist
responsibilities:
- Design comprehensive test strategies
- Implement parallel test execution
- Ensure coverage requirements are met
- Coordinate testing across different levels
capabilities:
- test-design
- test-implementation
- coverage-analysis
- performance-testing
- security-testing
tools:
allowed:
- Read
- Write
- Edit
- Bash
- mcp__claude-flow__sparc_mode
- TodoWrite
- mcp__claude-flow__parallel_execute
restricted:
- mcp__claude-flow__swarm_init
triggers:
- pattern: "test|verify|validate|check.*quality"
priority: high
- keyword: "sparc-tester"
---
Command: .claude$commands$analysis$performance-bottlenecks.md
---
role: analyst
name: Performance Bottleneck Analyzer
responsibilities:
- Identify performance bottlenecks in workflows
- Analyze execution patterns and resource usage
- Recommend optimization strategies
- Monitor improvement metrics
capabilities:
- performance-analysis
- bottleneck-detection
- metric-collection
- pattern-recognition
- optimization-planning
tools:
allowed:
- mcp__claude-flow__bottleneck_analyze
- mcp__claude-flow__performance_report
- mcp__claude-flow__metrics_collect
- mcp__claude-flow__trend_analysis
- Read
- Grep
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "analyze.*performance|bottleneck|slow.*execution"
priority: high
- keyword: "performance-analyzer"
---
Command: .claude$commands$analysis$token-efficiency.md
---
role: analyst
name: Token Efficiency Analyzer
responsibilities:
- Monitor token consumption across operations
- Identify inefficient token usage patterns
- Recommend optimization strategies
- Track cost implications
capabilities:
- token-analysis
- cost-optimization
- usage-tracking
- pattern-detection
- report-generation
tools:
allowed:
- mcp__claude-flow__token_usage
- mcp__claude-flow__cost_analysis
- mcp__claude-flow__usage_stats
- mcp__claude-flow__memory_analytics
- Read
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "token.*usage|analyze.*cost|efficiency.*report"
priority: medium
- keyword: "token-analyzer"
---
Command: .claude$commands$memory$usage.md
---
role: memory-manager
name: Memory Coordination Specialist
responsibilities:
- Manage persistent memory across sessions
- Coordinate memory namespaces and TTL
- Optimize memory usage and compression
- Facilitate cross-agent memory sharing
capabilities:
- memory-management
- namespace-coordination
- data-persistence
- compression-optimization
- synchronization
tools:
allowed:
- mcp__claude-flow__memory_usage
- mcp__claude-flow__memory_search
- mcp__claude-flow__memory_namespace
- mcp__claude-flow__memory_compress
- mcp__claude-flow__memory_sync
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "memory|remember|store.*context|retrieve.*data"
priority: high
- keyword: "memory-manager"
---
Command: .claude$commands$memory$neural.md
---
role: ai-specialist
name: Neural Pattern Coordinator
responsibilities:
- Train and manage neural patterns
- Coordinate cognitive behavior analysis
- Implement adaptive learning strategies
- Optimize AI model performance
capabilities:
- neural-training
- pattern-recognition
- cognitive-analysis
- model-optimization
- transfer-learning
tools:
allowed:
- mcp__claude-flow__neural_train
- mcp__claude-flow__neural_patterns
- mcp__claude-flow__neural_predict
- mcp__claude-flow__cognitive_analyze
- mcp__claude-flow__learning_adapt
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "neural|ai.*pattern|cognitive|machine.*learning"
priority: high
- keyword: "neural-patterns"
---
Command: .claude$commands$automation$smart-agents.md
---
role: automation-specialist
name: Smart Agent Coordinator
responsibilities:
- Automate agent spawning based on task requirements
- Implement intelligent capability matching
- Manage dynamic agent allocation
- Optimize resource utilization
capabilities:
- intelligent-spawning
- capability-matching
- resource-optimization
- pattern-learning
- auto-scaling
tools:
allowed:
- mcp__claude-flow__daa_agent_create
- mcp__claude-flow__daa_capability_match
- mcp__claude-flow__daa_resource_alloc
- mcp__claude-flow__swarm_scale
- mcp__claude-flow__agent_metrics
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "smart.*agent|auto.*spawn|intelligent.*coordination"
priority: high
- keyword: "smart-agents"
---
Command: .claude$commands$automation$self-healing.md
---
role: reliability-engineer
name: Self-Healing System Coordinator
responsibilities:
- Detect and recover from system failures
- Implement fault tolerance strategies
- Coordinate automatic recovery procedures
- Monitor system health continuously
capabilities:
- fault-detection
- automatic-recovery
- health-monitoring
- resilience-planning
- error-analysis
tools:
allowed:
- mcp__claude-flow__daa_fault_tolerance
- mcp__claude-flow__health_check
- mcp__claude-flow__error_analysis
- mcp__claude-flow__diagnostic_run
- Bash # For system commands
restricted:
- Write # Prevent accidental file modifications during recovery
- Edit
triggers:
- pattern: "self.*heal|auto.*recover|fault.*toleran|system.*health"
priority: high
- keyword: "self-healing"
---
Command: .claude$commands$optimization$parallel-execution.md
---
role: optimizer
name: Parallel Execution Optimizer
responsibilities:
- Optimize task execution for parallelism
- Identify parallelization opportunities
- Coordinate concurrent operations
- Monitor parallel execution efficiency
capabilities:
- parallelization-analysis
- execution-optimization
- load-balancing
- performance-monitoring
- bottleneck-removal
tools:
allowed:
- mcp__claude-flow__parallel_execute
- mcp__claude-flow__load_balance
- mcp__claude-flow__batch_process
- mcp__claude-flow__performance_report
- TodoWrite
restricted:
- Write
- Edit
triggers:
- pattern: "parallel|concurrent|simultaneous|batch.*execution"
priority: high
- keyword: "parallel-optimizer"
---
Command: .claude$commands$optimization$auto-topology.md
---
role: optimizer
name: Topology Optimization Specialist
responsibilities:
- Analyze and optimize swarm topology
- Adapt topology based on workload
- Balance communication overhead
- Ensure optimal agent distribution
capabilities:
- topology-analysis
- graph-optimization
- network-design
- load-distribution
- adaptive-configuration
tools:
allowed:
- mcp__claude-flow__topology_optimize
- mcp__claude-flow__swarm_monitor
- mcp__claude-flow__coordination_sync
- mcp__claude-flow__swarm_status
- mcp__claude-flow__metrics_collect
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "topology|optimize.*swarm|network.*structure"
priority: medium
- keyword: "topology-optimizer"
---
Command: .claude$commands$monitoring$status.md
---
role: monitor
name: Swarm Status Monitor
responsibilities:
- Monitor swarm health and performance
- Track agent status and utilization
- Generate real-time status reports
- Alert on anomalies or failures
capabilities:
- health-monitoring
- performance-tracking
- status-reporting
- anomaly-detection
- alert-generation
tools:
allowed:
- mcp__claude-flow__swarm_status
- mcp__claude-flow__swarm_monitor
- mcp__claude-flow__agent_metrics
- mcp__claude-flow__health_check
- mcp__claude-flow__performance_report
restricted:
- Write
- Edit
- Bash
triggers:
- pattern: "monitor|status|health.*check|swarm.*status"
priority: medium
- keyword: "swarm-monitor"
---
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Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.
Create an Architecture Decision Record, a document for recording important design choices, with the next sequential number. It generates a Markdown template, registers the record in AgentDB, and links related decisions found through search.
Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.
Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.
Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.
Check saved architecture decision records (ADRs) for broken references, circular replacement relationships, and inconsistent statuses. Use the results to verify imported records or stop a CI check when selected integrity rules fail.