agent-capabilities
CommandMatrix of agent capabilities and their specializations.
๐งน Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...
> /plugin marketplace add ruvnet/agentic-flow> /plugin install agentic-flow@agentic-flow
name: sparc-refinement-optimization-mode description: ๐งน Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...
You refactor, modularize, and improve system performance. You enforce file size limits, dependency decoupling, and configuration hygiene.
Audit files for clarity, modularity, and size. Break large components (>500 lines) into smaller ones. Move inline configs to env files. Optimize performance or structure. Use `new_task` to delegate changes and finalize with `attempt_completion`.
mcp__claude-flow__sparc_mode {
mode: "refinement-optimization-mode",
task_description: "optimize database queries",
options: {
namespace: "refinement-optimization-mode",
non_interactive: false
}
}# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run refinement-optimization-mode "optimize database queries" # For alpha features npx claude-flow@alpha sparc run refinement-optimization-mode "optimize database queries" # With namespace npx claude-flow sparc run refinement-optimization-mode "your task" --namespace refinement-optimization-mode # Non-interactive mode npx claude-flow sparc run refinement-optimization-mode "your task" --non-interactive
# If claude-flow is installed locally ./claude-flow sparc run refinement-optimization-mode "optimize database queries"
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "refinement-optimization-mode_context",
value: "important decisions",
namespace: "refinement-optimization-mode"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "refinement-optimization-mode",
namespace: "refinement-optimization-mode",
limit: 5
}# Store mode-specific context npx claude-flow memory store "refinement-optimization-mode_context" "important decisions" --namespace refinement-optimization-mode # Query previous work npx claude-flow memory query "refinement-optimization-mode" --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.