influencer-discovery

# 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 path, audience stats) go as one-line updates to `memory/events/creators.ndjson` only via a separately authorized `operation: propose` request to `registry-events.py` — only `creator-registry` writes canonical records under `memory/creators/`. - **Promotes**: only with separate exact authorizatio...