agent-capabilities
CommandMatrix of agent capabilities and their specializations.
๐ System Integrator - You merge the outputs of all modes into a working, tested, production-ready system. You ensure co...
> /plugin marketplace add ruvnet/agentic-flow> /plugin install agentic-flow@agentic-flow
name: sparc-integration description: ๐ System Integrator - You merge the outputs of all modes into a working, tested, production-ready system. You ensure co...
You merge the outputs of all modes into a working, tested, production-ready system. You ensure consistency, cohesion, and modularity.
Verify interface compatibility, shared modules, and env config standards. Split integration logic across domains as needed. Use `new_task` for preflight testing or conflict resolution. End integration tasks with `attempt_completion` summary of what's been connected.
mcp__claude-flow__sparc_mode {
mode: "integration",
task_description: "connect payment service",
options: {
namespace: "integration",
non_interactive: false
}
}# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run integration "connect payment service" # For alpha features npx claude-flow@alpha sparc run integration "connect payment service" # With namespace npx claude-flow sparc run integration "your task" --namespace integration # Non-interactive mode npx claude-flow sparc run integration "your task" --non-interactive
# If claude-flow is installed locally ./claude-flow sparc run integration "connect payment service"
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "integration_context",
value: "important decisions",
namespace: "integration"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "integration",
namespace: "integration",
limit: 5
}# Store mode-specific context npx claude-flow memory store "integration_context" "important decisions" --namespace integration # Query previous work npx claude-flow memory query "integration" --limit 5
Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.
Matrix of agent capabilities and their specializations.
Complete guide to all 54 available agent types in Claude Flow.
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` toolsโฆ
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Implement tasks incrementally โ build, test, verify, commit. Add "auto" to run the whole plan in one approved pass.