explaining-code
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
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Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
Commit and push changes with gitmoji-style messages. Triggers on '/commit-push' or phrases like 'commit and push', 'save my changes', 'push this'.
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generat...
Analyzes code for complexity issues. Use when code feels hard to understand, reviewing maintainability, or planning refactoring.
Core software design principles from 'A Philosophy of Software Design'. Use when asking about decomposition, deep modules, information hiding, complexity management, or John Ousterhout's design principles.
Reviews API designs for simplicity and error handling. Use when designing APIs, evaluating interface complexity, or eliminating error conditions.
Reviews code comments for quality. Use when reviewing documentation or evaluating if code is self-documenting.
Reviews modules for depth vs shallowness. Use when designing APIs, reviewing class interfaces, or evaluating abstraction value.
This skill should be used when the user asks to "write specifications", "specify an abstraction", "create contract tests", "property-based testing", "design by contract", "specification tests", or discusses how...
This skill should be used when the user asks to "write requirements", "define requirements", "create user stories", "formalize use cases", "functional requirements", "non-functional requirements", or discusses...
Advisory plan review - validates plan correctness and identifies gaps before implementation. Works on any task with research and plan sections.
Systematic debugging with APEX pattern learning. Applies hypothesis-driven investigation, evidence collection, and reflection to update pattern trust scores.
Build and validate loop (BUILDER + validation) - implements the architecture, runs tests, iterates until passing. Writes code following the plan.
Review and finalize (REVIEWER + DOCUMENTER phases) - runs adversarial code review, commits changes, completes task, and records reflection to capture pattern outcomes.
Systematic debugging with pattern learning. Applies hypothesis-driven investigation, evidence collection, and reflection to update pattern confidence.
Orchestrator that runs the full APEX workflow (research → plan → implement → ship) in a single session. Use for tasks you want to complete without context switches.
Orchestrator that runs the full APEX workflow (research → plan → implement → ship) in a single session. Use for tasks you want to complete without context switches.
Architecture phase (ARCHITECT) - transforms research into rigorous technical architecture through 5 mandatory design artifacts. Interactive and iterative.
Review and finalize (REVIEWER + DOCUMENTER phases) - runs adversarial code review, commits changes, completes task, and submits reflection to update pattern trust scores.
Use when calling APEX MCP tools (apex_patterns_lookup, apex_patterns_overview, apex_task_create, apex_reflect, etc.) for pattern intelligence, task tracking, or submitting reflections. Reference guide for all 1...
Advisory plan review - validates plan correctness and identifies gaps before implementation. Works on any task with research and plan sections.
Architecture phase (ARCHITECT) - transforms research into rigorous technical architecture through 5 mandatory design artifacts. Interactive and iterative.
Intelligence gathering phase - spawns parallel agents to analyze codebase, patterns, git history, and web research. Creates or updates task file with findings.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.