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refactor-plan

Generate a structured refactoring plan for a Cacti package or module. Analyzes current code structure, identifies improvement opportunities, and produces a phased plan with risk assessment.

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Repository
hyperledger-cacti/cacti
Letzte Quellaktivität
27. April 2026 um 13:39
Erkannte Sprache von SKILL.md
Englisch
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416
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366

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
refactor-plan
description
Generate a structured refactoring plan for a Cacti package or module. Analyzes current code structure, identifies improvement opportunities, and produces a phased plan with risk assessment.
# Refactor Plan Skill Generate a structured, risk-assessed refactoring plan for a package or module. ## When to Use - Before starting a significant refactoring effort - When code complexity exceeds maintainability thresholds - When migrating between patterns or architectures - When consolidating related functionality across packages ## Analysis Steps ### 1. Current State Assessment Read the target code and evaluate: - **Size**: Line counts for files and functions. Flag functions > 50 lines. - **Complexity**: Nesting depth, cyclomatic complexity, branching density. - **Coupling**: External dependencies, tight coupling between modules. - **Cohesion**: How well each module focuses on a single responsibility. - **Type safety**: Usage of `any`, `unknown`, and proper type narrowing. - **Test coverage**: Which public functions have corresponding tests. ### 2. Identify Improvement Opportunities Common refactoring targets in Cacti: - **Extract interface**: Create `I`-prefixed interfaces for dependency injection and testing. - **Consolidate duplicates**: Merge identical logic across modules. - **Simplify conditionals**: Replace nested if/else with early returns, guard clauses, or strategy pattern. - **Reduce coupling**: Introduce dependency injection, event-driven patterns, or facade classes. - **Improve naming**: Rename to follow Cacti conventions (`I` prefix, `isI` type guards). - **Barrel file cleanup**: Ensure `public-api.ts` exports are accurate and minimal. - **Package boundary**: Move code to the correct package to avoid circular dependencies. ### 3. Risk Assessment For each proposed change, evaluate: - **Breaking changes**: Will this change public API signatures? - **Downstream impact**: Which packages depend on the changed code? - **Test coverage**: Are there tests to catch regressions? - **Rollback difficulty**: How easy is it to revert if something breaks? ### 4. Phase Planning Break the refactoring into phases that: - Each phase is independently mergeable - Tests pass at the end of every phase - Breaking changes are isolated and documented - Higher-risk changes come later after confidence is built ## Output Format ```markdown # Refactoring Plan: [Package/Module] ## Current State - **Files**: [count] | **Functions**: [count] | **Lines**: [total] - **Key concerns**: [summary of issues found] ## Proposed Changes ### Phase 1: [Safe, Non-Breaking Changes] | # | Change | Files | Risk | Tests | |---|--------|-------|------|-------| | 1 | [description] | [files] | Low | [existing/needed] | ### Phase 2: [Structural Improvements] | # | Change | Files | Risk | Tests | |---|--------|-------|------|-------| | 1 | [description] | [files] | Medium | [existing/needed] | ### Phase 3: [Higher-Risk Changes] | # | Change | Files | Risk | Tests | |---|--------|-------|------|-------| | 1 | [description] | [files] | High | [existing/needed] | ## Dependency Map [which packages are affected by each phase] ## Rollback Strategy [how to revert each phase independently] ```
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