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Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. No
Passed 20 of 23 test cases with the skill, and 6 of 23 without it.
and 24 more in the full report
14 fixed6 passed either way3 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.
Here is a list of 5 creator profiles and engagement stats for our sustainable fashion campaign. Please calculate their individual STAR Suitability (S1-S10) and Trust scores, compute the composite SQS score, and give us a final pass/fail gate verdict on each creator.
| Checked | Without skill | With skill |
|---|---|---|
| Refuse to calculate STAR dimension scores or composite SQS values. | Missed | Passed |
| Direct the computation of STAR scores and gate verdicts to downstream auditor skills. | Missed | Passed |
The instructions your model reads when the skill loads.
Maps who the brand is trying to reach and what community they belong to — the two halves of understanding an audience before any creator is selected. It runs in two modes against one shared inputs set:
audience mode — the wide-angle read: demographic + psychographic profiles, a behavioral/media-diet map, a platform-priority matrix, content preferences, an influencer-affinity table, one or more named personas, and a must-have / nice-to-have / red-flag influencer-selection criteria set ready to hand to discovery.niche mode — the deep-dive: a community map (size, sub-niches, psychographics), a culture decode (language, norms, taboos), key-voice tiers, a content ecosystem, a Brand Fit Score (X/25) with a Strong/Moderate/Weak/Poor verdict, and a phased entry strategy with explicit red lines.Both feed STAR creator/content scoring downstream, but this skill computes neither the Suitability/Trust/Appeal/Return dimension scores nor the SQS — it produces the audience and community facts that fit-scorer and creator-content-auditor later score against. Scope guard below.
Analyze the target audience for [brand/product/category] # audience mode
Build an audience profile for influencer targeting from this data: [data]
Research the [niche] community and identify opportunities for [brand] # niche mode
Deep-dive [subculture] — key voices, what content works, brand fit, cultural risks
If the mode is not named, infer it: a broad brand/product/category request → audience; a named community, subculture, or hashtag (e.g. "#BookTok", "van-life") → niche. State which mode you picked before running.
Expected output: with sufficient dated evidence, in audience mode an audience analysis (demographics + psychographics, behavioral map, platform-priority matrix, content preferences, influencer-affinity table, ≥1 persona, and selection criteria); in niche mode a niche dossier (community map, culture decode, key-voice candidate tiers, Brand Fit Score X/25 + verdict, phased entry strategy, red lines). Without sufficient evidence, return hypotheses only as explicitly hypothetical, an exact research/collection plan, and NEEDS_INPUT; do not score, tier, promote, or hand off hypotheses as facts.
trend-spotter or the sibling-mode's own output if present in memory/influencer/.memory/influencer/audience-mapper/YYYY-MM-DD-<topic>.md only with exact authorization for that WARM path.creator_ref key-voice candidates, hard red lines/taboos — to memory/hot-cache.md. Hypotheses and unsourced current claims are never promoted.NEEDS_INPUT plus the exact queries/data fields; personas may be hypothetical but are not scored, tiered, promoted, or handed off as evidence.Next Best Skill block below.Emit the standard shape from skill-contract.md §Handoff Summary Format.
Tier 1 can always produce the intake, hypothesis frame, and exact research plan. Factual demographics, psychographics, behavior, platform usage, community size/growth, culture/language, current content patterns, and key voices require dated user/first-party/public/live evidence for the claimed geography and window. Without it, mark the affected branch NEEDS_INPUT; do not fill it from general knowledge. Connectors can supply that evidence:
test cases passed, vs 6 / 23 without
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