Agent skill

launch-monitor

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-

aaron-he-zhu2,508★ · 1 repos on radarProfile →
claude-coderead-onlyApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-monitor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Version: 19.1.0
Allowed tools: WebFetch
Requires: Claude Code and compatible agent-skill hosts
Path: launch/prove/launch-monitor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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](../../../references/ramp-benchmark.md): 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**:

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
More from aaron-marketing-skills
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About this skill
What does the launch-monitor skill do?

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-

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going