| name | launch-monitor |
| slug | aaron-launch-monitor |
| displayName | Launch Monitor · 发布窗口监控 |
| summary | 发布监控/排名轮询/火焰战比/spike-sustain |
| description | Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar early-warning (Estimated heuristic), PH votes/featured status, store charts and reviews, news echo, D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and alert thresholds against the launch-tier KPI targets. Not for launch-day go/rollback calls — use launch-day-conductor; not for metric deep-dives — use performance-analyzer; not for SEO rank tracking — use rank-tracker. 发布监控/排名轮询/火焰战比/spike-sustain |
| version | 19.2.0 |
| license | Apache-2.0 |
| compatibility | Claude Code and compatible agent-skill hosts |
| homepage | https://github.com/aaron-he-zhu/aaron-marketing-skills |
| when_to_use | Use when watching an active launch window (T-0 to T+30): verifying instrumentation before launch (UTM and conversion events per surface), polling HN rank/points/comments with a flamewar early-warning, Product Hunt votes/featured status, app-store charts and reviews, and news echo; producing D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and threshold alerts. The window watcher below the day-of runbook (launch-day-conductor) and upstream of the retro (launch-retro-analyzer). |
| argument-hint | <launch date / platforms> [KPI targets] [--pre-launch | --snapshot D0|W1|M1] |
| allowed-tools | WebFetch |
| metadata | {"author":"aaron-he-zhu","version":"19.2.0","discipline":"launch","phase":"prove","geo-relevance":"low","hermes":{"tags":["marketing","launch","prove"],"category":"launch"},"openclaw":{"emoji":"🚀","homepage":"https://github.com/aaron-he-zhu/aaron-marketing-skills"}} |
Launch Monitor
Watches the launch window — T-0 through T+30 — so traction is verifiable while it happens, not reconstructed afterwards. It is the first Prove-phase skill in the RAMP loop: its pre-launch mode verifies measurement instrumentation on every launch surface (the direct upstream of the P1 veto — untagged surfaces make traction unverifiable), and its window mode feeds the RAMP P sub-items for instrumentation, per-channel attribution reconciled against own analytics, KPI actuals vs targets at D0/W1/M1, spike-vs-sustain retention, and owned-capture rate. The live watch itself is the evidence behind the M live-monitoring-coverage sub-item.
Telemetry comes from keyless or free-key connectors — scripts/connectors/hn.py (keyless), scripts/connectors/producthunt.py (free-key developer token; non-commercial API ToS — business use needs Product Hunt approval, attribution required), scripts/connectors/appstore.py (keyless documented endpoints), scripts/connectors/gdelt.py (news echo) — and degrades to user-pasted values when a connector or key is missing. It works one lever — window telemetry — and hands off.
Scope guard: this skill watches and alerts; it does not decide. Launch-day go/rollback calls belong to launch-day-conductor; metric deep-dives and channel diagnosis to performance-analyzer; SEO position tracking to rank-tracker; feedback-theme triage to launch-feedback-synthesizer; the retro verdict to launch-retro-analyzer; the RAMP profile result and the P1 veto to launch-readiness-auditor. Monitoring past T+30 is not a launch task — hand it to performance-monitor; always-on brand/community listening outside a launch window is social-pulse-monitor's job.
Quick Start
Monitor my launch — we go live [date] on [HN / Product Hunt / App Store]. KPI targets: [D0 / W1 / M1].
