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Skill

/creator-tier-resolver

Maps a creator's evidence to a collaboration tier (Open / T1 / T2 / T3·VIP) and judges whether they hit the Open→Target graduation line. Use when the user needs to decide which tier a creator belongs to, whether to graduate them, or what priority to give them; also called by

From plugin
crevideo-reach
79 skills1 MCP
Install
$ npx -y skills add crevideo/crevideo-reach --skill creator-tier-resolver --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/creator-tier-resolver

Context preview

The summary Claude sees to decide when to auto-load this skill.

Maps a creator's evidence to a collaboration tier (Open / T1 / T2 / T3·VIP) and judges whether they hit the Open→Target graduation line. Use when the user needs to decide which tier a creator belongs to, whether to graduate them, or what priority to give them; also called by

SKILL.md

creator-tier-resolver.SKILL.md
name: creator-tier-resolver
description: >-
  Maps a creator's evidence to a collaboration tier (Open / T1 / T2 / T3·VIP) and
  judges whether they hit the Open→Target graduation line. Use when the user needs
  to decide which tier a creator belongs to, whether to graduate them, or what
  priority to give them; also called by creator-fit-scoring and offer-policy-checker.
  Affiliate (分销) context.
  Chinese triggers: 判定分级 / 该不该毕业 / 用什么优先级对待.

Creator Tier Resolver · 达人分级判定

**Role**: answer only "which tier this creator should be in, and whether they hit the graduation line". **No scoring** (that's creator-fit-scoring), **no commission validation** (that's offer-policy-checker), **no copy**.

Output language

Write every output in the **merchant's working language**, using that market's native seller terminology:

  • **US Local sellers → English**: tier / all-in take-rate / outreach waterfall / Target Collaboration / DM / sample / graduation …
  • **China POP sellers → 中文**: 分级 / 真实抽成 / 触达阶梯 / 定向邀约 / 私信 / 寄样 / 毕业 …

Tool names stay identical in both languages. If unsure which market, ask once before producing output.

When to use / not use

  • Use: set a creator's priority tier, judge Open→Target graduation, fix the tier for downstream offer/outreach.
  • Don't use: fit not yet judged (run creator-fit-scoring first).

Inputs

1. Creator evidence: conversion / GMV-per-view, orders, fulfillment, audience persona; follower count (reference only). 2. Optional: target product category (category affects tier economics — see the Key-Rules Cheat Sheet).

Steps (in order)

1. **Hard-exclude check**: blocklist / explicit opt-out / risk-signal hit → "Excluded / do not invite". 2. **Conversion evidence is primary**: judge the tier against the Cheat Sheet's tier definitions. **Follower count is not the primary basis**; category-sensitive (the same numbers may land in a different tier per category, per the registry). 3. **Insufficient data or on a tier boundary**: take the **lower** tier (conservative) and flag "insufficient/borderline evidence, recommend human confirm or more data". 4. **Graduation check**: per the Cheat Sheet's graduation line (last-N-day GMV or count of converting videos), judge whether an Open creator should rise to Target; if they qualify → mark "recommend graduation + go via Target Collaboration invite". 5. Output tier + basis + next step (hand to offer-policy-checker for the offer, outreach-message-composer for the draft).

Sibling skills

  • Set/validate the offer for that tier → offer-policy-checker.
  • Draft the matching outreach → outreach-message-composer.

⛔ Do NOT

  • Never tier up or graduate on follower count alone.
  • Never tier up because a creator "has potential / good content" — tier is evidence-driven, not a feeling.
  • Never tier up when data is insufficient — take the lower tier and flag for more data.
  • Never alter the tier definitions or graduation line yourself (they live in the Cheat Sheet).

📌 Strategy dependency (anti-staleness)

This skill embeds **no** tier thresholds, graduation line, commission numbers, or tool list. Tier definitions, the graduation line, and category-sensitivity rules all come from the Action Workspace Doctrine → Key-Rules Cheat Sheet; if an example here conflicts with current policy, the Cheat Sheet wins. Only call tools that actually exist.

Output format

Render the report in the merchant's working language; the template below shows the structure.

🎚️ Tier: T2 (or Open/T1/T3·VIP/Excluded/insufficient-evidence)
[Basis] key conversion evidence… · audience fit… · checked against Cheat Sheet tier defs · no hard-exclude signal
[Borderline/insufficient] (if any) just short of the next tier / missing X data → recommend human confirm or more data
[Graduation] (Open creators) hit the registry graduation line? → recommend graduation via Target Collaboration / not yet
[Next] → offer-policy-checker for the offer; → outreach to draft (warm creators prefer Target Collaboration)

Example

Input: a creator with steady repeat purchase, audience fit, mid followers. Output: 🎚️ Tier = **T2** (on conversion evidence, checked against the Cheat Sheet tier defs; not on followers). Did not reach a higher tier; if just short, flag "recommend more data / human confirm". Next → offer-policy-checker for the offer.

Read more
Ships withcrevideo-reach

Crevideo Reach — turn Claude (Cowork / Claude Code) into your TikTok Shop affiliate outreach & marketing assistant; the affordable, agent-native alternative to Euka and Reacher.

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Other skills on crevideo-reach.