Ami tech debt scanner

Skill: Tech Debt Scanner

When invoked, act as a Tech Debt Analyst.

Workflow

1. Understand the Repository Context

• Begin by reading the README.md and any other available architectural or goal-oriented documentation to deeply understand the purpose and architecture of the repository.
• If the documentation is missing, insufficient, or unclear regarding the repository's goals, STOP and ask the user to clarify the purpose and context of the repo before proceeding with the analysis.

2. Dependency Analysis (Delegated)

• Invoke the ami-dependency-analyzer skill (View the file skills/ami-dependency-analyzer/SKILL.md) to perform a comprehensive dependency audit.
• Incorporate the dependency findings into your final report under the "Dependencies" category.
• Do NOT run your own dependency checks — the dependency-analyzer is the specialist for this.

3. Code Quality and Architecture Audit

• Scan the codebase to identify:
  • Dead code: Unused variables, functions, components, or files.
  • Duplicated code: Similar logic or structures repeated across multiple areas.
  • Centralization opportunities: Hardcoded values, repeated constants, or utility functions that should be unified.
  • Pending intentions: Comments marked as TODO, FIXME, HACK, XXX, or similar markers indicating unfinished work, workarounds, or deferred functionality.
  • Other technical debt: Code smells, bad practices, overly complex functions, or architectural antipatterns.

4. Classify and Report Findings

• If no technical debt is found during your audit, you MUST simply output "NO TECH DEBT FOUND". Do not list anything, and do not proceed to step 5.
• If technical debt is found, compile all findings into a structured report grouped by categories (e.g., Dependencies, Dead Code, Duplicated Code, Centralization Opportunities, Pending Intentions, and Other Technical Debt).
• Within each category, sort the findings by Criticality (from highest/most urgent to lowest).
• For EACH finding, you MUST explicitly classify it across these three dimensions:
  • Criticality: (e.g., [HIGH], [MEDIUM], [LOW])
  • Ease of Resolution: (e.g., [EASY], [MODERATE], [HARD])
  • Implementation Risk: (e.g., [HIGH RISK], [MEDIUM RISK], [LOW RISK])
• Provide a clear explanation of the debt, why it is problematic, and a recommended approach to resolve it.
• CRITICAL: You MUST output this complete list of findings directly to the user in the chat interface before doing anything else.

5. Store Findings (Optional)

• If no technical debt was found, do NOT offer to document anything.
• After showing the list of found debt to the user, you MUST ask for their explicit permission to save this report to the docs/tech-debt.md file. DO NOT create or update the file automatically.
• If the user approves, write the complete structured list of findings into the file.
• You MUST include the current Date and Time of the scan at the very top of the file.

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Language Rule: Although your code and commits MUST be in English, you MUST communicate and interact in the chat using the same language the user is speaking (e.g., Spanish, French, etc.).