code-refactoring-tech-debt
You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create acti
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill code-refactoring-tech-debt49
Quality
30%
Does it follow best practices?
Impact
73%
1.43xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/code-refactoring-tech-debt/SKILL.mdEvaluation results
77%
33%Legacy E-Commerce Backend: Technical Debt Assessment
Debt inventory taxonomy and cost assessment
Complexity threshold
100%
80%
Long method threshold
0%
100%
God class definition
0%
0%
Nesting threshold
0%
25%
Duplication quantified
50%
100%
Dollar cost calculation
100%
100%
Risk classification
100%
100%
YAML metrics dashboard
0%
100%
Python trend dict
0%
12%
Three-tier roadmap
40%
100%
All seven output sections
66%
100%
Without context: $0.5001 · 3m 19s · 10 turns · 11 in / 9,895 out tokens
With context: $0.8867 · 4m 18s · 26 turns · 59 in / 13,661 out tokens
70%
17%Engineering Quality Governance Rollout
Prevention strategy and quality governance
Max complexity gate
75%
100%
Max duplication gate
62%
0%
Min coverage gate
87%
100%
CI pipeline checks
37%
100%
Two-approval review
100%
100%
Review test and docs requirement
100%
100%
Sprint allocation 20%
100%
100%
Debt budget increase limit
0%
100%
Debt budget reduction mandate
0%
0%
Three tracking tools named
100%
100%
Code standard method length
0%
0%
Code standard class length
0%
0%
Monthly success metrics
0%
75%
Without context: $0.3027 · 1m 57s · 8 turns · 9 in / 6,635 out tokens
With context: $0.6393 · 3m 25s · 18 turns · 16 in / 11,568 out tokens
74%
18%Legacy Billing Engine Modernization
Incremental refactoring implementation strategy
Phase 1: Facade
33%
50%
Phase 2: Parallel service
83%
91%
Phase 3: Feature flag migration
83%
100%
Backward compatibility
100%
100%
Test before refactoring
100%
100%
Document architectural decisions
12%
37%
Measure impact with metrics
87%
100%
Method length standard
0%
25%
Class length standard
0%
0%
Complexity standard
0%
100%
Coverage standard
100%
100%
Without context: $0.3929 · 2m 4s · 12 turns · 61 in / 7,402 out tokens
With context: $0.6278 · 3m 20s · 18 turns · 65 in / 11,025 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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