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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.
Passed 17 of 22 test cases with the skill, and 3 of 22 without it.
and 16 more in the full report
14 fixed3 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Does submitting proposal events to memory/events/creators.ndjson directly create or update canonical creator records under memory/creators/?
| Checked | Without skill | With skill |
|---|---|---|
| States that creator-registry alone holds authority to write canonical records under memory/creators/. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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]
entity-optimizer 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).memory/influencer/influencer-discovery/YYYY-MM-DD-<topic>.md — search criteria, candidate pool stats, per-influencer profiles, tiered shortlist with fit scores. Roster-worthy shortlisted creators (verified handles, contact path, audience stats) go as one-line updates to memory/events/creators.ndjson via an authorized operation: propose request to registry-events.py — only creator-registry writes canonical records under memory/creators/.memory/hot-cache.md.Emit the standard shape from skill-contract.md §Handoff Summary Format.
This family has no live integrations required (Tier 1): the skill works with only the inputs the user provides. Ask the user for niche, platforms, follower band, engagement floor, location, and exclusions, then reason over what they supply plus any public handles they share.
Where a tool could sharpen results, use ~~ connector placeholders:
~~influencer database — bulk discovery, follower/engagement metrics, audience demographics.~~social platform analytics — native creator-marketplace data, trending sounds, related accounts.~~CRM — import the shortlist and dedupe against existing partners.~~audience overlap — estimate creator-audience vs. brand-audience match.test cases passed, vs 3 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
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