Agent skill · Workflow & Productivity

community-launch-runner

Use when the user asks to "launch on Product Hunt / Hacker News", "prepare community or directory launch submissions", or "plan the launch submission waves"; produces per-platform submission packages — a Product Hunt tagline / gallery / first-comment skeleton, a factual Show HN title and text, per-subreddit posts with a self-promotion rules table, tiered directory waves, and a regional channel matrix including Chinese communities — plus a platform red-line check (never solicit votes or organize voting rings) and T-0 submission-status lines for the launch registry. Not for paid amplification —

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-coderead-onlyApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill community-launch-runner --agent claude-code

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

Facts
Files in the skill folder: 2
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/mobilize/community-launch-runner/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

# Community Launch Runner Executes the community and directory lane of a launch — per-platform submission packages (Product Hunt, Show HN, subreddits, tiered directories, regional channels including Chinese communities) built under each platform's published rules. In the RAMP loop this is a Mobilize-phase execution skill: it feeds the **M** (Momentum) sub-items *channel mix fits tier & use-case* and *platform-rule compliance per channel*, and it is the execution surface the **M1** veto (platform manipulation / policy) judges — [launch-readiness-auditor](../launch-readiness-auditor/SKILL.md) scores that; this skill never computes the RAMP profile result. It works one lever — community submission execution — and hands off. **Scope guard**: this skill prepares community/directory submissions only. It does not run paid amplification, creator campaigns, media relations, the launch-day runbook, telemetry, or canonical launch state. T-0 observations become authorized idempotent launch proposals through `registry-events.py`; [launch-registry](../../../protocol/launch-registry/SKILL.md) resolves them. Ongoing community presence/warmup belongs to the social discipline. ## Quick Start ``` Pre

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
Ships with 1 file
  • references/channel-matrix.md
More from aaron-marketing-skills
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About this skill
What does the community-launch-runner skill do?

Use when the user asks to "launch on Product Hunt / Hacker News", "prepare community or directory launch submissions", or "plan the launch submission waves"; produces per-platform submission packages — a Product Hunt tagline / gallery / first-comment skeleton, a factual Show HN title and text, per-subreddit posts with a self-promotion rules table, tiered directory waves, and a regional channel matrix including Chinese communities — plus a platform red-line check (never solicit votes or organize voting rings) and T-0 submission-status lines for the launch registry. Not for paid amplification —

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill community-launch-runner --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