Update to MisarMail

{
  "description": "Produce a MisarMail performance report — opens, clicks, deliverability, revenue attribution. Use for \"how are my emails doing\", weekly/monthly reports, or campaign performance analysis.",
  "included_files": [],
  "name": "email-performance-report",
  "skill_md_contents": "---\nname: email-performance-report\ndescription: Produce a MisarMail performance report — opens, clicks, deliverability, revenue attribution. Use for \"how are my emails doing\", weekly/monthly reports, or campaign performance analysis.\n---\n\n# Email performance report\n\n## Gather\n\n- `get_analytics` — sends, delivers, opens, clicks, bounces, complaints\n- `list_campaigns` with `status=sent` — per-campaign comparison\n- `get_deliverability_score` — reputation context for the numbers\n- `get_revenue_attribution` — revenue attributed to email\n- `generate_report` — `campaign_performance`, `engagement_funnel`,\n  `cohort_analysis`, or `send_time_heatmap`\n\n## Interpret, do not just report\n\nEvery metric needs a reference point:\n\n| Metric | Healthy | Read as |\n|---|---|---|\n| Open rate | 20–25% | Subject line + sender reputation |\n| Click rate | 2–5% | Content relevance and offer |\n| Bounce rate | under 2% | List quality; above 5% is urgent |\n| Complaint rate | under 0.1% | Consent and expectation-setting |\n\nApple Mail Privacy Protection inflates open rates by auto-fetching images.\nTreat open rate as directional and lean on clicks for anything that matters.\n\n## Structure\n\nHeadline metrics; best and worst campaign each with a one-line reason;\ndeliverability status; revenue; then the single highest-impact action for the\nnext period.\n\nKeep it under 400 words. If a figure was unavailable, say so — never estimate\na number and present it as measured.\n"
}