Detect product capabilities across UI, API, and code paths.
npx skills add https://github.com/parhumm/jaan-to --skill detect-product
Please help me install this Agent Skill. Skill: detect-product Source: https://github.com/parhumm/jaan-to/tree/main/adapters/codex/skillpack/skills/detect-product Command: npx skills add https://github.com/parhumm/jaan-to --skill detect-product
Detect and quantify product capabilities and constraints in a repository by aggregating evidence from surfaces, copy, and code to support data-driven decisions about features, pricing, and instrumentation.
Analyze a repository to extract evidence-backed product insights and structured findings.
High-intent search queries and answers about installing and using this skill.
Product capability detection aggregates evidence across UI routes, API endpoints, and code paths to surface real features. It builds a 3-layer evidence model from surfaces, copy, and code to support data-driven decisions.
Evidence-based product analysis identifies monetization gates and entitlement logic by examining code paths and UI constraints. It maps gating logic and tier implications to reveal how features are restricted across different pricing levels.
Cross-platform feature consistency is mapped by linking related evidence across web, mobile, and backend surfaces. Standardized IDs and related evidence links ensure traceability when the same product capability appears on multiple platforms.
Yes, you can extract analytics instrumentation and constraints from backend code paths. The detection process identifies existing tracking implementations and structural constraints, producing structured findings linked via standardized traceability IDs.
Yes, product capability detection works without external dependencies. It operates directly on typical software repositories to analyze surfaces, copy, and code paths to generate structured product insights and monetization findings.
A 3-layer evidence model is needed when quantifying product capabilities and constraints to support data-driven decisions about features and pricing. It ensures findings are traceable by aggregating surface, copy, and code evidence with standardized IDs.
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