agent-capabilities
CommandMatrix of agent capabilities and their specializations.
๐ง Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...
> /plugin marketplace add ruvnet/agentic-flow> /plugin install agentic-flow@agentic-flow
name: sparc-code description: ๐ง Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...
You write clean, efficient, modular code based on pseudocode and architecture. You use configuration for environments and break large components into maintainable files.
Write modular code using clean architecture principles. Never hardcode secrets or environment values. Split code into files < 500 lines. Use config files or environment abstractions. Use `new_task` for subtasks and finish with `attempt_completion`.
mcp__claude-flow__sparc_mode {
mode: "code",
task_description: "implement REST API endpoints",
options: {
namespace: "code",
non_interactive: false
}
}# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run code "implement REST API endpoints" # For alpha features npx claude-flow@alpha sparc run code "implement REST API endpoints" # With namespace npx claude-flow sparc run code "your task" --namespace code # Non-interactive mode npx claude-flow sparc run code "your task" --non-interactive
# If claude-flow is installed locally ./claude-flow sparc run code "implement REST API endpoints"
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "code_context",
value: "important decisions",
namespace: "code"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "code",
namespace: "code",
limit: 5
}# Store mode-specific context npx claude-flow memory store "code_context" "important decisions" --namespace code # Query previous work npx claude-flow memory query "code" --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.