Technical Debt Analysis and Remediation workflow skill. Use this skill when the user needs 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 and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Technical Debt Analysis and Remediation workflow skill. Use this skill when the user needs 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 and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/codebase-cleanup-tech-debt from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Technical Debt Analysis and Remediation 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 actionable remediation plans.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Context, Requirements, Executive Summary, Key Risks, Proposed Actions, Refactoring Guide.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
Working on technical debt analysis and remediation tasks or workflows
Needing guidance, best practices, or checklists for technical debt analysis and remediation
The task is unrelated to technical debt analysis and remediation
You need a different domain or tool outside this scope
Use when the request clearly matches the imported source intent: 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.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Duplicated Code
Exact duplicates (copy-paste)
Similar logic patterns
Repeated business rules
Quantify: Lines duplicated, locations
Complex Code
High cyclomatic complexity (>10)
Imported Workflow Notes
Imported: Instructions
1. Technical Debt Inventory
Conduct a thorough scan for all types of technical debt:
Code Debt
Duplicated Code
Exact duplicates (copy-paste)
Similar logic patterns
Repeated business rules
Quantify: Lines duplicated, locations
Complex Code
High cyclomatic complexity (>10)
Deeply nested conditionals (>3 levels)
Long methods (>50 lines)
God classes (>500 lines, >20 methods)
Quantify: Complexity scores, hotspots
Poor Structure
Circular dependencies
Inappropriate intimacy between classes
Feature envy (methods using other class data)
Shotgun surgery patterns
Quantify: Coupling metrics, change frequency
Architecture Debt
Design Flaws
Missing abstractions
Leaky abstractions
Violated architectural boundaries
Monolithic components
Quantify: Component size, dependency violations
Technology Debt
Outdated frameworks/libraries
Deprecated API usage
Legacy patterns (e.g., callbacks vs promises)
Unsupported dependencies
Quantify: Version lag, security vulnerabilities
Testing Debt
Coverage Gaps
Untested code paths
Missing edge cases
No integration tests
Lack of performance tests
Quantify: Coverage %, critical paths untested
Test Quality
Brittle tests (environment-dependent)
Slow test suites
Flaky tests
No test documentation
Quantify: Test runtime, failure rate
Documentation Debt
Missing Documentation
No API documentation
Undocumented complex logic
Missing architecture diagrams
No onboarding guides
Quantify: Undocumented public APIs
Infrastructure Debt
Deployment Issues
Manual deployment steps
No rollback procedures
Missing monitoring
No performance baselines
Quantify: Deployment time, failure rate
2. Impact Assessment
Calculate the real cost of each debt item:
Development Velocity Impact
Debt Item: Duplicate user validation logic
Locations: 5 files
Time Impact:
- 2 hours per bug fix (must fix in 5 places)
- 4 hours per feature change
- Monthly impact: ~20 hours
Annual Cost: 240 hours × $150/hour = $36,000
1. Implement Domain-Driven Design
- Define bounded contexts
- Create domain models
- Establish clear boundaries
Effort: 200 hours
Benefits: 50% reduction in coupling
ROI: Positive after 6 months
2. Comprehensive Test Suite
- Unit: 80% coverage
- Integration: 60% coverage
- E2E: Critical paths
Effort: 300 hours
Benefits: 70% reduction in bugs
ROI: Positive after 4 months
5. Implementation Strategy
Incremental Refactoring
# Phase 1: Add facade over legacy codeclassPaymentFacade:
def__init__(self):
self.legacy_processor = LegacyPaymentProcessor()
defprocess_payment(self, order):
# New clean interfacereturnself.legacy_processor.doPayment(order.to_legacy())
# Phase 2: Implement new service alongsideclassPaymentService:
defprocess_payment(self, order):
# Clean implementationpass# Phase 3: Gradual migrationclassPaymentFacade:
def__init__(self):
self.new_service = PaymentService()
self.legacy = LegacyPaymentProcessor()
defprocess_payment(self, order):
if feature_flag("use_new_payment"):
returnself.new_service.process_payment(order)
returnself.legacy.doPayment(order.to_legacy())
Team Allocation
Debt_Reduction_Team:dedicated_time:"20% sprint capacity"roles:-tech_lead:"Architecture decisions"-senior_dev:"Complex refactoring"-dev:"Testing and documentation"sprint_goals:-sprint_1:"Quick wins completed"-sprint_2:"God class refactoring started"-sprint_3:"Test coverage >60%"
6. Prevention Strategy
Implement gates to prevent new debt:
Automated Quality Gates
pre_commit_hooks:-complexity_check:"max 10"-duplication_check:"max 5%"-test_coverage:"min 80% for new code"ci_pipeline:-dependency_audit:"no high vulnerabilities"-performance_test:"no regression >10%"-architecture_check:"no new violations"code_review:-requires_two_approvals:true-must_include_tests:true-documentation_required:true
#### Imported: Context
The user needs a comprehensive technical debt analysis to understand what's slowing down development, increasing bugs, and creating maintenance challenges. Focus on practical, measurable improvements with clear ROI.
## Examples### Example 1: Ask for the upstream workflow directly```text
Use @codebase-cleanup-tech-debt to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @codebase-cleanup-tech-debt against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @codebase-cleanup-tech-debt for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @codebase-cleanup-tech-debt using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/codebase-cleanup-tech-debt, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
assets/n/a
Imported Reference Notes
Imported: Requirements
$ARGUMENTS
Imported: Executive Summary
Current debt score: 890 (High)
Monthly velocity loss: 35%
Bug rate increase: 45%
Recommended investment: 500 hours
Expected ROI: 280% over 12 months
Imported: Key Risks
Payment system: 3 critical vulnerabilities
Data layer: No backup strategy
API: Rate limiting not implemented
Imported: Proposed Actions
Immediate: Security patches (this week)
Short-term: Core refactoring (1 month)
Long-term: Architecture modernization (6 months)
**Developer Documentation**
```markdown
#### Imported: Refactoring Guide
1. Always maintain backward compatibility
2. Write tests before refactoring
3. Use feature flags for gradual rollout
4. Document architectural decisions
5. Measure impact with metrics
#### Imported: Code Standards
- Complexity limit: 10
- Method length: 20 lines
- Class length: 200 lines
- Test coverage: 80%
- Documentation: All public APIs
8. Success Metrics
Track progress with clear KPIs:
Monthly Metrics
Debt score reduction: Target -5%
New bug rate: Target -20%
Deployment frequency: Target +50%
Lead time: Target -30%
Test coverage: Target +10%
Quarterly Reviews
Architecture health score
Developer satisfaction survey
Performance benchmarks
Security audit results
Cost savings achieved
Imported: Output Format
Debt Inventory: Comprehensive list categorized by type with metrics
Impact Analysis: Cost calculations and risk assessments
Prioritized Roadmap: Quarter-by-quarter plan with clear deliverables
