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Found 52 Skills
Systematic framework for resurrecting and modernizing legacy codebases through archaeology, resurrection, and rejuvenation phases. Activate on "legacy code", "inherited codebase", "no documentation", "technical debt", "resurrect", "modernize". NOT for greenfield projects or well-documented active codebases.
Invoke IMMEDIATELY via python script when user requests refactoring analysis, technical debt review, or code quality improvement. Do NOT explore first - the script orchestrates exploration.
Technical leadership advisor for CTOs on architecture decisions, engineering strategy, team scaling, technical debt management, and technology evaluation.
Use when solution space exploration is complete and you're ready to create an implementation plan. Enforces "simple over easy" - the fundamentally right solution, not the path of least resistance. Triggers after /design-solution, when a solution has been chosen, or when asked to "make a plan" or "create a plan".
Adaptive sprint workflow: deep analysis, evolving roadmap, one-at-a-time sprints, formal debt tracking, and re-entry prompts for context persistence. Trigger: When the user wants to analyze a project, create a roadmap, generate/execute sprints iteratively, or check project status and technical debt.
Clean up code, remove dead code, and optimize project structure. Use when user wants to clean codebase, remove unused code, or optimize imports.
Analyze codebases for anti-patterns, code smells, and quality issues using ast-grep structural pattern matching. Use when reviewing code quality, identifying technical debt, or performing comprehensive code analysis across JavaScript, TypeScript, Python, Vue, React, or other supported languages.
Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findings and calls /qa-gate for final gate decision.
This skill should be used when the user asks to "scan for TODOs", "find placeholders", "clean up stubs", "remove temporary code", "audit for incomplete code", or "erase substitutions from codebase". Scans existing files for placeholder tokens and generates remediation plan.
Explores codebase to find patterns, similar features, and constraints
Apply systematic code refactoring with small steps, clear boundaries, and proven techniques. Use when improving existing code, reducing technical debt, cleaning up legacy code, or when user mentions refactoring, code cleanup, or code improvement.
Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization