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Use when the user asks to "allocate my influencer budget", "optimize spend across tiers", or "compare budget scenarios"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.
Passed 21 of 22 test cases with the skill, and 6 of 22 without it.
and 17 more in the full report
15 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building an initial $25,000 budget plan for a fitness app launch on YouTube shorts and Instagram. What exact file system path should be used to record this influencer budget optimization summary?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies saving influencer budget optimization runs under memory/influencer/budget-optimizer/. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.
Shortest invocation:
Help me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok
Common scenario:
Optimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario
Output: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.
~~influencer database / ~~social platform analytics when available.memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md.memory/hot-cache.md.Emit the standard shape from skill-contract.md §Handoff Summary Format.
This skill also allocates paid-ads spend — the tier/platform tables map to channels/campaigns; use the ROAS profile (direct-response|prospecting|incremental-profit) as the scenario axis and read its declared CPA/payback/contribution constraint instead of substituting CPM/CPE. Scope: this computes the spend-reallocation plan only. It does not read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to budget-pacing-monitor, and bid-strategy choice belongs to bid-strategy-planner. paid-measurement-loop reads one shipped change back against a control, and premature scaling is an S guardrail flag in ad-account-auditor, not a separate skill or a veto. Save paid runs under memory/ad/budget-optimizer/.
test cases passed, vs 6 / 22 without
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