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, authenticity red-flag screening, and a tiered shortlist with preliminary triage signals. Not for STAR scoring or ranking a known shortlist — use fit-scorer. 达人挖掘/找达人/创作者名单
npx skills add aaron-he-zhu/aaron-marketing-skills --skill influencer-discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Influencer Discovery Find the right influencers for your brand by searching across platforms, screening for audience fit and authenticity, and building a tiered candidate list ready for scoring. ## Quick Start ``` Find 20 influencers in [niche] for [brand/product] ``` ``` Find influencers in [niche] with 50K-200K followers on TikTok and Instagram, based in [location], engagement above 4%, who have worked with brands like [brand] ``` ## Skill Contract - **Reads**: brand/product, niche or category, target platforms, follower range, engagement floor, location/language, audience demographics, exclusions; prior `entity-registry` brand profile and any `audience-mapper` output if present in memory; existing roster records under `memory/creators/` (dedupe the candidate pool against creators already rostered by [creator-registry](../../../protocol/creator-registry/SKILL.md)). - **Writes**: only with separate exact authorization, discovery results to `memory/influencer/influencer-discovery/YYYY-MM-DD-<topic>.md` — search criteria, candidate pool stats, per-influencer profiles, tiered shortlist with preliminary triage signals. Roster-worthy shortlisted creators (verified handles, contact pa
- Quick Start
- Skill Contract
- Handoff Summary
- Data Sources
- Instructions
- Compact Example
- Reference Materials
- Next Best Skill
- Related Skills
What does the influencer-discovery skill do?
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, authenticity red-flag screening, and a tiered shortlist with preliminary triage signals. Not for STAR scoring or ranking a known shortlist — use fit-scorer. 达人挖掘/找达人/创作者名单
How do I install it?
Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill influencer-discovery --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.