Trace end-to-end data and control flow for a specified feature or module.
npx skills add https://github.com/MiDouTech/myTapd --skill flow-trace-midoutech
Please help me install this Agent Skill. Skill: flow-trace Source: https://github.com/MiDouTech/myTapd/tree/main/.claude/skills/flow-trace Command: npx skills add https://github.com/MiDouTech/myTapd --skill flow-trace-midoutech
Complex features and modules are often opaque: stakeholders do not know what runs first, how data is transformed, where decisions occur, or how failures degrade behavior. This Skill turns an opaque implementation into a clear, step-by-step path so non‑technical and technical audiences can quickly understand, review, and troubleshoot the full flow.
Ask the assistant "Trace the end-to-end path for [feature name] starting from the user action to database and external calls and provide an overview first."
High-intent search queries and answers about installing and using this skill.
To trace end-to-end data and control flow, you map a feature's path from entry points through services, databases, and external calls to the final output. This process identifies decision branches, data transformations, and fallback paths for debugging and design review.
Documenting architectural components for onboarding involves creating a step-by-step path of UI actions or API endpoints. This turns opaque implementation into a clear overview, showing what runs first and where decisions occur for non-technical audiences.
Mapping decision points and error paths during incident debugging highlights branch points, threshold checks, and degradation behaviors. It provides a detailed, file and line annotated call-chain to help developers quickly troubleshoot the full flow.
Yes, you can use control-flow tracing for background jobs and API endpoints. The process applies to various architectural components, following data from the initial trigger through services and external APIs to the final output.
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