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Data, Research & Analysis

pricing-strategist

Pricing Strategist is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on use when designing or revisiting product pricing — selecting a pricing model (subscription seat-based,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

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What this Skill does

Pricing Strategist is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on use when designing or revisiting product pricing — selecting a pricing model (subscription seat-based,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Use when designing or revisiting product pricing — selecting a pricing model (subscription seat-based, usage-based, value-based, freemium, or hybrid), running Van Westendorp Price Sensitivity Meter analysis on WTP survey data, or designing Good/Better/Best packaging tiers. Recommends a model and a price range with trade-offs, never a single number. For Commercial leads, Product Marketing, and CMOs at the pricing-design moment — not deal-by-deal discounting, not brand positioning.

Compatibility and requirements

  • Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
  • Confirm the source repository's tools, SDKs, and platform prerequisites for seo and content work.

How to install or import it

  • Open the linked GitHub SKILL.md and review its scope and setup instructions.
  • Install or import the skill using the agent runtime's documented workflow.
  • Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

  • Review every command, file path, network request, dependency, and credential scope before enabling it.
  • GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

  • Ask an AI agent to apply Pricing Strategist to seo and content work described in the source record.
  • Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
  • Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.

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