Agent skill · Documentation

launch-tier-planner

Use when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with co-marketing split), an effort calibration matrix (tier to channel intensity and asset scope), D0/W1/M1 KPI targets (labeled Estimated), a risk register (likelihood x blast-radius, owners, mitigations, kill criteria / rollback thresholds), and a T-8w to T+4w timeline skeleton. Not for

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-tier-planner --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: launch/research/launch-tier-planner/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 Tier Planner Decides how big a launch is and what kind it is — the tier (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), the type (new-product / feature / relaunch / partnership), the effort that tier justifies, the KPI targets declared before launch, and the risk register with kill criteria that the day-of runbook inherits. It sits in the Research phase of the [RAMP loop](../../../references/ramp-benchmark.md) and feeds the RAMP `R` sub-items *launch tier & type declared with effort calibrated*, *risk register exists (likelihood × blast-radius, owners, kill criteria / rollback thresholds)*, and *launch KPI targets (D0/W1/M1) declared before launch*. Sizing the moment correctly is what keeps a changelog entry from burning a Tier-1 audience and a flagship from shipping with a Tier-3 kit. **Scope guard**: this skill sizes the launch and registers its risks only. It does **not** pick the date or window (that is [launch-window-planner](../launch-window-planner/SKILL.md)), build the positioning canvas (that is [positioning-mapper](../positioning-mapper/SKILL.md)), run a creator-channel launch campaign (launch requests that mention creators route to [cam

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-tier-planner skill do?

Use when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with co-marketing split), an effort calibration matrix (tier to channel intensity and asset scope), D0/W1/M1 KPI targets (labeled Estimated), a risk register (likelihood x blast-radius, owners, mitigations, kill criteria / rollback thresholds), and a T-8w to T+4w timeline skeleton. Not for

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-tier-planner --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.

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