creator-registry
FeaturedUse when the user asks "what did we pay this creator last time" or to "update the creator roster"; maintains one durable record per creator — verified handles, rate history, exclusivity windows, dated compliance events, performance baselines. Not for scoring fit — use fit-scorer; not for reviewing content — use content-reviewer. 创作者档案/达人名册
Install
Quality Score: 98/100
Skill Content
Details
- Author
- aaron-he-zhu
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
offer-claims-registry
Use when the user asks to "register this claim", "log our current offers", or "where is the proof for this figure"; curates the canonical claims ledger and live-offers table under memory/claims/ — exact claim text, evidence provenance, approved wording, claim-level disclaimers, and offer terms — and resolves "[needs source]" flags from ad and content drafts. Not for scoring O1/O2 vetoes or issuing SHIP/FIX/BLOCK verdicts — use ad-account-auditor; not for gating creator content — use content-reviewer. 广告声明台账/优惠信息登记/证据溯源
creator-fit-scoring
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.
influencer-discovery
Use when the user asks to "find influencers", "build an influencer list", or "discover creators in [niche]"; produces a multi-platform candidate pool, per-influencer profiles with audience and engagement metrics, authenticity red-flag screening, and a tiered shortlist with fit scores. Not for scoring or ranking a known shortlist — use fit-scorer.