Comprehensive product feasibility study with effort and cost estimation. Analyzes technical, economic, market, operational, and schedule feasibility using the TELOS framework. Produces a structured report with go/no-go recommendation and confidence levels. Use when asked to "feasibility study", "estimate cost to build", "is this worth building", "effort estimate", "cost-benefit analysis", "should we build this", or "how much would it cost to build". Proactively suggest when a user describes a product idea and asks whether it is viable, how long it would take, or how much it would cost.
EnglishFind the revenue-maximizing pricing/tier grid for a SaaS or data product and PROVE the ranking is robust — not just assert it. Builds a competitor-anchored willingness-to-pay model, sweeps a grid search for the optimum, then verifies with Monte Carlo sensitivity, adversarial falsification, and anchor break-point analysis. Use when asked to "optimize pricing", "what price maximizes revenue", "which tier grid is best", "price these tiers", "maximize total value/ARR", "should we charge X or Y", or to evaluate/compare candidate pricing proposals. Proactively suggest when a user is deciding between pricing options for a product.
English
AGENT SKILLS ATLASIncludes Feasibility Study and Pricing Optimization.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
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What’s included
Feasibility Study
Comprehensive product feasibility study with effort and cost estimation. Analyzes technical, economic, market, operational, and schedule feasibility using the TELOS framework. Produces a structured report with go/no-go recommendation and confidence levels. Use when asked to "feasibility study", "estimate cost to build", "is this worth building", "effort estimate", "cost-benefit analysis", "should we build this", or "how much would it cost to build". Proactively suggest when a user describes a product idea and asks whether it is viable, how long it would take, or how much it would cost.
Pricing Optimization
Find the revenue-maximizing pricing/tier grid for a SaaS or data product and PROVE the ranking is robust — not just assert it. Builds a competitor-anchored willingness-to-pay model, sweeps a grid search for the optimum, then verifies with Monte Carlo sensitivity, adversarial falsification, and anchor break-point analysis. Use when asked to "optimize pricing", "what price maximizes revenue", "which tier grid is best", "price these tiers", "maximize total value/ARR", "should we charge X or Y", or to evaluate/compare candidate pricing proposals. Proactively suggest when a user is deciding between pricing options for a product.
Quick start
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After installation, start with a request like:
Use the Feasibility Study skill to help with my task.
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