evaluatelisted

# Evaluate - PDCA Evaluation & Improvement A skill that analyzes sales activity result data and automatically evaluates and improves every aspect -- strategy, tactics, targeting, and messaging. ## Steps ### 1. Data Collection - Project ID: `$0` (required) In parallel, call: - `mcp__plugin_lead-ace_api__get_eval_data` with `projectId: "$0"` - `mcp__plugin_lead-ace_api__get_rejection_feedback_summary` with `projectId: "$0"`, `windowDays: 30`, `scope: "tactical"` If `get_eval_data` returns a "Project not found" error, instruct the user to run `/setup` first and **abort**. `get_eval_data` response includes: - `metrics`: totalOutreach, channelCounts, responseCounts, sentimentBreakdown, priorityResponseRate, statusCounts, channelResponseRate, inquiryOutcomeCounts - `metrics.inquiryOutcomeCounts`: per-project session totals keyed by outcome (`opened` / `inquired` / `lead` / `signup_clicked` / `unsubscribed`). `signup_clicked` is the self-serve conversion path (project's CTA mode is `signup`, visitor clicked the Sign up button); `lead` is the human-sales conversion (meeting requested, button or chat-derived). Both `signup_clicked` and `lead` flip `project_prospects.status` to `responded`, so the prospect drops out of the outbound pool — they are different conversion axes that both belong in the "won" column - `respondedMessages`: all outreach bodies that received responses (with sentiment and responseType) - `noResponseSample`: sample of outreach bodies that received no resp