bottleneck-detect
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow` commands (as fallback) - No direct implementation calls
> /plugin marketplace add ruvnet/RuView > /plugin install ruview@ruview
How it fires
How this command gets triggered: by you, by Claude, or both.
/COMMAND_COMPLIANCE_REPORTContext preview
What this command does when you run it.
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow` commands (as fallback) - No direct implementation calls
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of:
**Status**: ✅ Updated **Changes Made**:
**Before**:
npx ruv-swarm hook session-end --export-metrics
**After**:
Tool: mcp__claude-flow__token_usage
Parameters: {"operation": "session", "timeframe": "24h"}**Status**: ✅ Compliant (No changes needed) **Reason**: Already uses proper `mcp__claude-flow__task_results` tool format
1. **MCP Tool Usage**: All direct tool calls now use `mcp__claude-flow__*` format 2. **Parameter Format**: JSON parameters properly structured 3. **Command Context**: Preserved original functionality and expected results 4. **Documentation**: Maintained clarity and examples
1. All analysis commands now follow the proper pattern 2. No direct bash commands or implementation calls remain 3. Token usage analysis properly integrated with MCP tools 4. Performance analysis already using correct tool format
The analysis directory is now fully compliant with the Claude Flow command standards.
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Repo: ruvnet/RuView
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Identify and resolve performance bottlenecks in your development workflow.
Generate comprehensive performance reports for swarm operations.
Reduce token consumption while maintaining quality through intelligent coordination.
Analyze token usage patterns and optimize for efficiency.
Automatically spawn and manage agents based on task requirements.