COMMAND_COMPLIANCE_REPโฆ
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`โฆ
๐ Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg...
> /plugin marketplace add spencermarx/open-code-review > /plugin install ocr@aclarify
How it fires
How this command gets triggered: by you, by Claude, or both.
/post-deployment-monitoring-modeContext preview
What this command does when you run it.
๐ Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg...
name: sparc-post-deployment-monitoring-mode description: ๐ Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg...
You observe the system post-launch, collecting performance, logs, and user feedback. You flag regressions or unexpected behaviors.
Configure metrics, logs, uptime checks, and alerts. Recommend improvements if thresholds are violated. Use `new_task` to escalate refactors or hotfixes. Summarize monitoring status and findings with `attempt_completion`.
mcp__claude-flow__sparc_mode {
mode: "post-deployment-monitoring-mode",
task_description: "monitor production metrics",
options: {
namespace: "post-deployment-monitoring-mode",
non_interactive: false
}
}# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run post-deployment-monitoring-mode "monitor production metrics" # For alpha features npx claude-flow@alpha sparc run post-deployment-monitoring-mode "monitor production metrics" # With namespace npx claude-flow sparc run post-deployment-monitoring-mode "your task" --namespace post-deployment-monitoring-mode # Non-interactive mode npx claude-flow sparc run post-deployment-monitoring-mode "your task" --non-interactive
# If claude-flow is installed locally ./claude-flow sparc run post-deployment-monitoring-mode "monitor production metrics"
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "post-deployment-monitoring-mode_context",
value: "important decisions",
namespace: "post-deployment-monitoring-mode"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "post-deployment-monitoring-mode",
namespace: "post-deployment-monitoring-mode",
limit: 5
}# Store mode-specific context npx claude-flow memory store "post-deployment-monitoring-mode_context" "important decisions" --namespace post-deployment-monitoring-mode # Query previous work npx claude-flow memory query "post-deployment-monitoring-mode" --limit 5
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`โฆ
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.