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Found 275 Skills
Analyze a functional spec to determine if it is too complex for the renderer. A spec is too complex if it would produce more than 200 lines of code changes. Use after drafting a new functional spec (during `add-functional-spec`, or per spec during `add-functional-specs`) to verify it fits within the complexity limit before inserting it.
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
Safe, verified refactoring with regression testing at each step. Identify targets, plan transformation, execute incrementally. Triggers: "refactor", "restructure", "extract", "rename", "move", "simplify", "reduce complexity", "clean up", "decompose".
Manage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", or "strategic vs tactical". Covers deep vs shallow modules, red flags for complexity, and comments as design documentation. For code quality, see clean-code. For boundaries, see clean-architecture.
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
Use before committing to a task. Provides complexity analysis and scope assessment. Invoke when user asks "how complex" or before large features.
Code quality standards. Defines complexity management, modular design, code smell detection. Applied automatically when writing or reviewing code.
Comprehensive code validation. Runs complexity analysis then multi-model council. Answer: Is this code ready to ship? Triggers: "vibe", "validate code", "check code", "review code", "is this ready".
Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documentation, architecting features, or making decisions where simplicity drives quality and efficiency.
Provide development estimates for tasks, features, or projects with intelligent analysis. Use when planning timelines, assessing complexity, or scoping resources.
Reduce cyclomatic complexity with targeted refactoring strategies
Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed.