BusinessAI skill
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billingdisputes
Choose packages, value metrics, price points, margin guardrails, and a measurable test without turning assumptions into validated demand.
Pricing gets expensive when a neat tier table hides weak evidence. A per-seat metric can punish adoption. A low entry price can miss service cost. A twelve-month payment plan can look identical to upfront payment while moving collection and default risk somewhere else.
Pricing Strategy turns a pricing question into a controlled business decision. It separates observed, reported, calculated, assumed, proposed, and approved claims. It maps buyer segments by value and buying motion, scores candidate charging metrics, defines package boundaries, and builds price scenarios with exact units, periods, formulas, costs, fees, and sensitivity. Missing willingness-to-pay evidence stays missing.
The workflow covers SaaS, usage, subscription, service, and hybrid pricing. It handles tiers, included usage, overages, annual terms, discounts, contribution constraints, boundary cases, research design, new-customer tests, existing-customer migration, billing and entitlement changes, monitoring, and rollback. A bundled read-only checker validates the canonical pricing decision record and prevents unsupported lifecycle claims.
This package does not promise an optimal price, manufacture market research, replace finance, legal, tax, or billing review, or approve a customer migration. It produces the strongest decision the supplied evidence supports and names what could reverse it.
Version 1.0.0 was reviewed on 2026-07-23 and evaluated through Codex CLI with gpt-5.6-sol in 12 fresh read-only contexts. The candidate scored 100 across three cases, compared with 69.58 for the same agent without the skill and 75 for the exact free upstream. It led the upstream by 10 points on an incomplete SaaS usage-pricing decision, 31.25 points on agency service tiers, and 33.75 points on the strict pricing record. All three cases passed. The evaluation covers those supplied cases; it does not prove real willingness to pay, elasticity, conversion, retention, costs, legal readiness, billing behavior, or customer outcomes.
The reviewed package SHA-256 is b9f7bba9b1a787473f6d9c7e7d2500afed7e0fb3294da8a2163b4814168fd7b7. Maintenance and install support are handled by the platform-operated publisher for this listing.
Input
We have one $49 plan, three observed usage segments, account and report costs, reported support allocations, and a proposed usage model. Interviews exist but the guide and willingness-to-pay answers are missing.
Output
An evidence ledger, segment and value-metric scorecard, bounded package alternatives, account-level scenarios, unknowns and sensitivities, a research or test status, migration boundary, falsifiers, and one evidence-producing next action.
Input
Landing pages take 18 hours, five-page sites 55 hours, and 3D work adds 22 hours at $35 loaded labor cost. Payment fees are 3% and the required contribution margin is 55%.
Output
Provide the product or service, buyer and payer, current packages and prices, currency and billing period, decision owner, objectives, constraints, and dated customer, usage, conversion, retention, cost, discount, competitor, and billing evidence. Ask to assess, design, test, migrate, or return the canonical JSON decision record. Unknown inputs remain explicit instead of becoming invented precision.
Product or service, market, currency, billing period, effective cohort, objective, guardrails, owner, approver, deadline, and exclusions.
Current prices and terms plus dated usage, transactions, conversion, retention, discount, interview, survey, win-loss, competitor, or substitute evidence. Missing items may remain explicit.
Variable and incremental costs, fees, margin definition, billing and entitlement capabilities, contract boundaries, tax treatment, service capacity, and migration limits.
SKILL.md; evidence-controlled pricing workflow; pricing model and scenario framework; canonical decision-record contract; read-only record checker
No reviews yet.
Exact price-floor arithmetic, scope and revision boundaries, a corrected 3D add-on, one-time versus installment caveats, discount and change-order controls, limitations, rollout monitoring, and owner approval gates.
Input
Return strict JSON for a proposed $79 plan. The approver is unknown, cost allocation is reported but unsupported, three accepted quotes are selection-biased, and no test or migration exists.
Output
A contract-valid blocked record with evidence states, proposed price points, no invented margin result, blocking authority and cost decisions, a not-designed test, limitations, and one bounded next action.
Clouvel AI
Updated Sep 28, 2026
Automated scan passed. It found 1 finding; highest severity info.
Scanned Jul 23, 2026.
Automated scanning reduces risk but cannot guarantee a package is safe for every environment.
Creator
Qquorin