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Discover Development skills, compare source repositories and read the instructions for each workflow.

Categories: Development

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aesthetic-form-composition

CANTAGESTUDIO

[Aesthetics] Analyzes form, composition, and spatial relationships: eye paths, balance/asymmetry, rhythm, layering, fore/mid/background usage. Outputs compositional rules as Memo nodes in Brain canvas.

GitHub

task-segmentation

CANTAGESTUDIO

[Task Mgmt] A Skill that segments subtasks into more granular, actionable items before starting work. AI agent MUST invoke this skill AUTOMATICALLY when moving a task to In Progress. Break down existing 2-space...

GitHub

refactor-change-report

CANTAGESTUDIO

[Code Quality] Generates summary report of refactoring changes for review. Use after completing a refactoring session to document what changed, why, and what to verify.

GitHub

design-tokens-validator

CANTAGESTUDIO

[Design System] Validate that code and styles use official design tokens instead of hard-coded values. Use when (1) reviewing CSS/SCSS/Tailwind/styled-components for hard-coded colors/spacing, (2) checking Swif...

GitHub

refactor-simplify-branching

CANTAGESTUDIO

[Code Quality] Simplifies complex conditionals: deep nesting, long if-else chains, switch sprawl. Use when control flow is hard to follow or has high cyclomatic complexity.

GitHub

ux-information-architecture

CANTAGESTUDIO

[UI/UX] Designs Information Architecture (IA) as ASCII diagrams. Systematically organizes screen hierarchies, navigation structures, and content classification. Use when requesting 'IA design', 'information arc...

GitHub

refactor-dedupe-and-cleanup

CANTAGESTUDIO

[Code Quality] Removes code duplication and cleans up dead code. Use to eliminate copy-paste code, consolidate similar logic, and remove unused code paths.

GitHub

aesthetic-critic-historian

CANTAGESTUDIO

[Aesthetics] Positions aesthetics within art/design history, identifies what traditions it echoes, and spots clichés, generic trends, and AI-slop patterns to avoid. Outputs Critical Notes as Memo nodes in Brain...

GitHub

brand-guidelines-enforcer

CANTAGESTUDIO

[Design System] Lightweight brand guidelines enforcement for UI copy and visual motifs. Use when (1) checking UI labels/buttons/error messages against brand tone, (2) validating color usage in specific contexts...

GitHub

best-practice-core

CANTAGESTUDIO

[Dev] Extracts and organizes best practices for a given topic into a minimal tree structure (max depth 3, max 5 children per node). Use during task planning when writing subtasks in Docs/{name}_Task.md - output...

GitHub

theme-factory

CANTAGESTUDIO

[UI/UX] Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact tha...

GitHub

systematic-debugging

CANTAGESTUDIO

[Debug] Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that e...

GitHub

aesthetic-motion-temporal

CANTAGESTUDIO

[Aesthetics] Defines temporal aesthetics: speed, acceleration habits, tempo, static vs dynamic balance, motion weight and inertia. Produces Motion Bible as Memo nodes in Brain canvas.

GitHub

accessibility-contrast-audit

CANTAGESTUDIO

[Design System] Quantitative accessibility audit for UI - contrast ratios, font sizes, tap targets, heading hierarchy. Use when (1) checking WCAG color contrast compliance, (2) auditing text sizes for readabili...

GitHub

task-valid-review

CANTAGESTUDIO

[Task Mgmt] Verification tool for validating task completion in Review section. Use when checking if tasks are actually done before moving from Review to Done. Verifies subtask completion, code/file changes, an...

GitHub

refactor-test-safety-net

CANTAGESTUDIO

[Code Quality] Establishes test coverage requirements before refactoring. Use to identify missing tests, create minimal safety net tests, and define verification strategy for behavior preservation.

GitHub

refactor-risk-assess

CANTAGESTUDIO

[Code Quality] Evaluates risk level of proposed refactoring changes. Use to assess dependencies, blast radius, rollback difficulty, and determine if changes are safe to proceed.

GitHub

frontend-design

CANTAGESTUDIO

[UI/UX] Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include...

GitHub

task-mover

CANTAGESTUDIO

[Task Mgmt] A Skill that syncs task status in Docs/Task/{StepName}_Task.md by moving tasks between sections (Backlog, Worker1, Worker2, Worker3, Review, Done) with priority-aware management for multi-agent para...

GitHub

refactor-rename-for-clarity

CANTAGESTUDIO

[Code Quality] Performs systematic renaming to improve code clarity: variables, functions, classes, files. Use when names are unclear, misleading, or inconsistent with their purpose.

GitHub

history-logger

CANTAGESTUDIO

[Task Mgmt] A Skill that logs completed tasks to Docs/History/History_yyMMdd.md as a Markdown table in Korean. Use this when a task or subtask has been completed and the user wants to record the completion time...

GitHub

ux-sequence-diagram

CANTAGESTUDIO

[UI/UX] Visualizes interaction sequences and system communications as ASCII diagrams. Represents user-system interactions, API call sequences, and event flows. Use when requesting 'sequence diagram', 'interacti...

GitHub

layout-spacing-checker

CANTAGESTUDIO

[Design System] Validate margin/padding/gap values against spacing scale and grid rules. Use when (1) checking if spacing values follow the design system scale, (2) finding off-scale or inconsistent spacing, (3...

GitHub

ux-ascii-visualizer

CANTAGESTUDIO

[UI/UX] Visualizes UI screen structures and components as ASCII art. Represents wireframes, layouts, and UI components as text-based diagrams. Use when requesting 'ASCII wireframe', 'screen structure visualizat...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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