← ClaudeAtlas

creator-fit-scoringlisted

Scores one or more TikTok Shop creators for real sell-through fit using evidence (conversion over followers), returning a fit verdict + recommendation strength + outreach suggestion, with a lookalike-expansion recruiting mode. Use when the user wants to score, rank, evaluate, shortlist, compare, or find lookalike creators, or to process the sample creators returned by preview_target_collab. Affiliate (分销) context. Chinese triggers: 打分 / 评估 / 筛选 / 找相似达人 / 这批达人合不合适.
crevideo/crevideo-reach · ★ 2 · AI & Automation · score 75
Install: claude install-skill crevideo/crevideo-reach
# Creator Fit Scoring · 达人契合打分 **Role**: turn a creator's profile/history/performance into an evidence-based judgment of "worth collaborating for this product/brand?". **Only judges fit + recommendation strength** — does not set tier (creator-tier-resolver), validate commission (offer-policy-checker), or write copy (outreach-message-composer). ## 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 … - **China POP sellers → 中文**: 分级 / 真实抽成 / 触达阶梯 / 定向邀约 / 私信 / 寄样 … Tool names (e.g. `preview_target_collab`, `find_similar_creators`) stay identical in both languages. If unsure which market, ask once before producing output. ## When to use / not use - Use: score/rank a creator or a sample pool, decide whether to contact, run lookalike-expansion recruiting. - Don't use: the user only wants report data (→ performance-diagnosis); only wants copy (→ outreach-message-composer). ## Inputs (ask if missing, max 3 questions) 1. Creator data source: preview_target_collab sample, list_affiliate_creators results, or a profile the user pastes. 2. Target product: name/category/price (for fit; product must be ACTIVATE). 3. Optional: the user's preferred tier or headcount. ## Steps (in order) 1. **Exclude first (before ranking/scoring)**: cross-check the **backend blocklist + project `Knowledge/do-not-contact