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commands/design-packaging.md
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commands/design-packaging.md
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---
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name: design-packaging
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description: Creates pricing packages, usage metrics, and value fences aligned to target segments.
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usage: /pricing-strategy:design-packaging --product "AI Platform" --segments "growth,enterprise" --pricing_metric seats --deliverables 3
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---
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# Command: design-packaging
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## Inputs
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- **product** – offering or bundle name.
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- **segments** – comma-separated segments (smb, growth, enterprise, partner, public sector).
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- **pricing_metric** – usage driver (seats, volume, consumption, feature tier).
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- **deliverables** – number of packaging options to present.
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- **constraints** – optional guardrails (target ASP, margin, required features).
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## Workflow
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1. **Signal Intake** – pull customer insights, usage data, competitive benchmarks, and GTM priorities.
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2. **Packaging Framework** – define good/better/best or modular structure with feature mapping.
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3. **Value Fences** – outline metrics, thresholds, and add-on eligibility per package.
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4. **Financial Modeling** – estimate ASP, margin, attach rate, and adoption across segments.
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5. **Decision Kit** – produce comparison tables, positioning narratives, and approval checklist.
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## Outputs
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- Packaging matrix (features, limits, pricing metric, add-ons).
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- Scenario model (ASP, margin, ARR impact) per package.
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- Enablement-ready summary deck.
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## Agent/Skill Invocations
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- `pricing-architect` – leads framework + governance.
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- `monetization-analyst` – models financial impact.
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- `deal-desk-partner` – validates guardrails + exception policies.
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- `packaging-framework` skill – provides structural templates.
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- `value-messaging` skill – crafts positioning statements per tier.
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---
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commands/run-pricing-council.md
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commands/run-pricing-council.md
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---
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name: run-pricing-council
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description: Facilitates pricing council sessions with agendas, approvals, and launch actions.
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usage: /pricing-strategy:run-pricing-council --agenda "Packaging refresh" --scenarios "good,better,best" --date 2025-12-05 --participants "product,finance,sales"
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---
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# Command: run-pricing-council
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## Inputs
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- **agenda** – focus topic (packaging refresh, price increase, pilot results, discount policy).
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- **scenarios** – list of proposals/scenarios to review.
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- **date** – council meeting date.
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- **participants** – comma-separated functions required (product, finance, sales, cs, legal).
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- **artifacts** – optional links to models, decks, or briefs.
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## Workflow
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1. **Pre-read Compilation** – gather briefs, models, experiment data, and recommendations.
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2. **Agenda & Roles** – map discussion order, presenters, decision makers, scribes.
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3. **Decision Framework** – document evaluation criteria, guardrails, and required approvals.
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4. **Session Facilitation** – capture discussion notes, objections, action items, and decisions.
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5. **Launch Plan** – outline follow-up tasks (enablement, billing updates, marketing comms) with owners/dates.
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## Outputs
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- Council agenda + pre-read packet.
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- Decision log with approvals, blockers, and next steps.
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- Launch checklist aligned to selected scenario.
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## Agent/Skill Invocations
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- `pricing-architect` – leads narrative and recommendations.
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- `monetization-analyst` – presents data + modeling.
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- `deal-desk-partner` – surfaces field implications.
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- `pricing-governance` skill – maintains decision log + approvals.
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- `enablement-kit` skill – outlines rollout communications + training.
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---
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commands/simulate-pricing-impact.md
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commands/simulate-pricing-impact.md
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---
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name: simulate-pricing-impact
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description: Models pricing changes across cohorts, projecting ARR, margin, and adoption shifts.
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usage: /pricing-strategy:simulate-pricing-impact --scenario "+10% list" --segments "growth,enterprise" --metric seats --elasticity moderate
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---
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# Command: simulate-pricing-impact
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## Inputs
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- **scenario** – description of proposed change (e.g., "+10% list", "usage tier change").
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- **segments** – comma-separated segments/cohorts to model.
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- **metric** – pricing driver (seats, usage, API calls, storage).
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- **elasticity** – conservative | moderate | aggressive modeling assumption.
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- **experiment-window** – timeframe to measure post-launch impact.
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## Workflow
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1. **Data Aggregation** – pull billing, usage, pipeline, and win/loss data for impacted cohorts.
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2. **Elasticity Modeling** – apply elasticity assumptions, sensitivity bands, and attach-rate shifts.
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3. **Scenario Simulation** – calculate ARR, margin, churn, and expansion impacts per segment.
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4. **Risk & Opportunity Analysis** – highlight customer personas or regions most affected.
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5. **Output Packaging** – assemble summary decks, spreadsheets, and recommendation notes.
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## Outputs
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- Scenario comparison table (current vs proposed) with KPIs.
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- Elasticity charts + cohort breakdowns.
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- Recommendation brief for pricing council.
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## Agent/Skill Invocations
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- `monetization-analyst` – runs modeling + analysis.
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- `pricing-architect` – aligns assumptions with strategy.
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- `deal-desk-partner` – surfaces field implications.
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- `elasticity-lab` skill – provides modeling templates + guardrails.
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- `pricing-governance` skill – logs approvals + next steps.
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---
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