Agent skill · Documentation

participation-warmup-planner

Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry incentives and member lifecycle for our own Discord"; produces the per-community pre-promotion warming plan — account-history/tenure expectations (Estimated, named sources), a give-before-ask ledger spec, a per-community etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that channel-registry requires as state-transition evidence — plus the owned-community variant (entry paths + member lifecycle

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill participation-warmup-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: 14 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: social/explore/participation-warmup-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

# Participation Warmup Planner Designs the pre-promotion ramp that makes a brand a member before it is a marketer — per-community account-history expectations, a give-before-ask ledger spec, an etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that [channel-registry](../../../protocol/channel-registry/SKILL.md) requires as state-transition evidence. It is the fourth move of the ECHO **Explore** phase and feeds four ECHO `E` sub-items directly: *participation-before-promotion* (E2), *give:ask ledger maintained* (E3), *owned-space entry and member-lifecycle health* (E6), and the *cross-community rule-conflict check* (E10) — see [echo-benchmark.md](../../../references/echo-benchmark.md). It picks up the phased-entry handoff from [audience-mapper](../../../influencer/scout/audience-mapper/SKILL.md) niche mode and builds the account history [community-launch-runner](../../../launch/mobilize/community-launch-runner/SKILL.md) presumes exists at T-0. **Scope guard**: this skill produces the warming plan *document* only. It does **not** run launch-day submissions or T-0 threads (that is [community-launch-runner](../../../launch/mobilize/community

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 participation-warmup-planner skill do?

Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry incentives and member lifecycle for our own Discord"; produces the per-community pre-promotion warming plan — account-history/tenure expectations (Estimated, named sources), a give-before-ask ledger spec, a per-community etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that channel-registry requires as state-transition evidence — plus the owned-community variant (entry paths + member lifecycle

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill participation-warmup-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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