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Use when the user asks to "score this influencer", "rank these creators for our campaign", or "tell me which influencer is the best fit"; produces typed C3 ACE creator results plus a separately labeled campaign-fit ranking without mixing brand fit into ACE. Not for finding new influencers — use influencer-discovery; not for sending outreach — use outreach-manager.
Passed 20 of 22 test cases with the skill, and 3 of 22 without it.
and 23 more in the full report
17 fixed3 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which four goal options are valid when declaring campaign context for ACE evaluation?
| Checked | Without skill | With skill |
|---|---|---|
| Lists awareness, engagement, conversion, and brand-building as the four goal choices. | Missed | Passed |
The instructions your model reads when the skill loads.
Score each shortlisted creator on the typed C3 ACE creator rubric, then keep campaign-specific commercial fit in a separate prioritization matrix. The ACE result is portable and brand-independent; the commercial matrix is not an ACE score and never enters CVI.
Score one influencer:
Score @[handle] for [brand/campaign] and tell me if they're a good fit
Compare and rank a shortlist:
Compare and rank these influencers for [campaign]: @influencer1, @influencer2, @influencer3
influencer-discovery). Optional prior audience profiles from memory/influencer/audience-mapper/ and competitor partner benchmarks from memory/influencer/competitor-tracker/. For rostered creators, read partnership history and audience-stat provenance from memory/creators/<handle-slug>.md — the creator-registry roster record — as Partnership Potential inputs.memory/influencer/fit-scorer/YYYY-MM-DD-<topic>.md.ace-<goal> profile/context and deterministic scorer result are preserved; Unknown prevents an ACE total.Emit the standard shape from skill-contract.md §Handoff Summary Format.
This family needs no live integrations (Tier 1). Fit Scorer works end to end by asking the user for the inputs it scores — handles, audience targets, brand values, and any metrics they have. A connector sharpens the numbers but none is required.
~~influencer database — follower counts, audience demographics, and partnership history.~~social platform analytics — engagement rate, comment quality samples, posting cadence, growth trend.~~audience intelligence — real-vs-bot follower estimates and audience overlap with your target.test cases passed, vs 3 / 22 without
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