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tech debt architect
by Jiangdongbo
Architectural auditor that transforms code smells and Git history into a prioritized, business-case refactoring roadmap.
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See it in action
You say
Scan this repo for tech debt. We have a release in two days so I can only fix critical issues. The payment module is a frozen zone.
Your agent does
Tech Debt Score: C Dangerous Total estimated remediation: 12 person-days Failure-rate increase: 15% in 3 months
P0 | Blocking | src/auth.js:42-45 | Hardcoded API Key | Git: hotfix-09-12 | Use Env Var | 1h | High
Phase 1: Stop the bleeding. Fixing P0 auth leak and P1 cyclic dependency in billing.
What you get
About this skill
The problem
Legacy codebases often suffer from hidden coupling traps, security vulnerabilities, and performance bottlenecks that slow down feature delivery. Developers struggle to justify refactoring time to stakeholders who only care about business value and deadlines.
What it does
- Performs a multi-dimensional scan for code smells, architectural defects, security risks, and performance bottlenecks.
- Maps every identified debt to specific files, function names, and exact line ranges.
- Analyzes Git history to identify root causes like deadline rushes or multi-author collisions.
- Generates a prioritized P0 to P3 inventory with estimated remediation effort in person-days.
- Produces a dependency-aware refactoring roadmap with a phased execution plan.
Frameworks & tools
Works across any language. Utilizes Git, Glob, and Grep for deep repository analysis and history auditing.
Why this beats prompting it yourself
Generic prompts result in vague advice like "improve cohesion." This skill enforces a rigorous four-part architectural audit, requires concrete before/after code snippets for every recommendation, and uses Git forensics to prove why code is failing, making the business case for you.
Use cases
- Audit a new repository to assess maintainability and release risks.
- Create a phased refactoring roadmap that respects business-critical frozen zones.
- Identify high-risk security flaws like SQL injection or hardcoded secrets.
- Estimate the man-hours required to stabilize a fragile legacy module.
Known limitations
Requires access to source files for line-level accuracy. Git-based root cause analysis is unavailable for zip-file uploads or repos without history.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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26+ total installs · 29 skills on Agensi
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