Scripting

Write clean, consistent, maintainable code following established naming conventions, formatting standards, and the DRY principle across all files in the codebase. Use this skill when writing or refactoring any code file regardless of language or framework to ensure consistent style. Use this skill when naming variables, functions, classes, and files, when formatting code with proper indentation, when creating small focused functions, or when removing dead code and unused imports. Use this skill for Python files, JavaScript/TypeScript files, CSS files, configuration files, or any programming language file. Use this skill when establishing code formatting standards with tools like Prettier, ESLint, Black, or RuboCop, or when applying the DRY principle to eliminate code duplication.

Strict TypeScript rules. Use when writing ANY TypeScript.

Jira Wiki Markup (Text Formatting Notation) for formatting issue descriptions, comments, and custom fields. NOT Markdown—Jira uses different syntax. Use when formatting Jira text, creating tables/panels/code blocks in Jira, linking users/issues/attachments, writing Jira templates, or when any Jira formatting question arises. Triggers include "Jira markup", "Jira formatting", "Jira table", "Jira code block", "Jira panel", "link in Jira", "format Jira comment/description", "Jira wiki syntax".

This skill should be used when the user asks to "implement the analysis", "run the code", "execute the pipeline", or as Phase 3 of the /ds workflow. Enforces output-first verification at each step.

Expert knowledge of Final Fantasy XI private server development using LandSandBoat codebase. Use when working with FFXI game mechanics, LandSandBoat source code, database schema, Lua scripting, GM tools, or server administration.

Elimina uso de `any` en TypeScript creando tipos específicos. Usa cuando veas any en código, errores de tipado, o tarea 2.3 del PLAN_MEJORAS.md.

Production-ready Supabase database schemas for customers, subscriptions, payments, invoices, and webhook events with comprehensive Row Level Security policies. Use when setting up payment infrastructure, creating subscription tables, implementing secure payment data storage, or configuring RLS policies for multi-tenant payment systems.

Automated tooling and detection patterns for JavaScript/TypeScript code quality review

This skill should be used when developing or modifying dotfiles using chezmoi. Covers using .chezmoidata for configuration data and modify_ scripts (or run_onchange_after_ scripts for symlinked directories) for non-destructive file merging. Particularly useful when needing to configure application settings without overwriting user preferences.

Expert Python development focusing on clean code, comprehensive testing, performance optimization, and best practices with detailed documentation

High-resolution Playwright-based screenshot capture skill that takes full-page screenshots of any URL with optimized settings for quality and reliability

Create Raycast script commands for macOS automation. Use when users request creating Raycast scripts, script commands, or want to automate tasks in Raycast. Supports Bash, Python, Node.js, Swift, AppleScript, and Ruby. Handles arguments, output modes (silent, compact, fullOutput, inline), and dashboard widgets.

Implement authentication and authorization with Better Auth - a framework-agnostic TypeScript authentication framework. Features include email/password authentication with verification, OAuth providers (Google, GitHub, Discord, etc.), two-factor authentication (TOTP, SMS), passkeys/WebAuthn support, session management, role-based access control (RBAC), rate limiting, and database adapters. Use when adding authentication to applications, implementing OAuth flows, setting up 2FA/MFA, managing user sessions, configuring authorization rules, or building secure authentication systems for web applications.

This skill should be used when the user asks to 'audit for JSR', 'check JSR readiness', 'review JSR config', 'verify package for JSR', 'publish to JSR', 'prepare for JSR publishing', 'JSR compliance check', 'run JSR audit', or wants to ensure their Deno/TypeScript package meets JSR standards before publishing.

SDK installation and setup patterns for Agent-to-Agent Protocol across Python, TypeScript, Java, C#, and Go. Use when implementing A2A protocol, setting up SDKs, configuring authentication, or when user mentions SDK installation, language-specific setup, or A2A integration.

This skill should be used when reviewing pull requests, performing comprehensive code review, analyzing code changes before merge, or when the user asks for thorough/ultra-critical code review. Performs EXTREMELY CRITICAL 6-pass analysis identifying runtime failures, code consistency issues, architectural problems, environment compatibility risks, and verification strategies. Posts structured review as GitHub PR comment. Use when user asks to "review PR", "review this code", "review changes", "check this PR", "analyze PR", "post review", or for Phase 3 of devflow. Supports parallel review mode with multiplier (code-review-3, code-review 6X) for consensus-based reviews. This is an ultra-critical reviewer that does not let things slip and desires only perfection.

Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use both). Skip for routine tasks or universal pattern questions (use coder-memory-recall). MUST be invoked using Task tool to avoid polluting main context.

UV-specific patterns for single-file Python scripts using inline metadata (PEP 723). Use when creating Python hooks, standalone utilities, or executable scripts in UV-managed projects.

Fast procedural Rubik's cube solver that requests photos, converts them to cube state string, and uses Python scripts to generate step-by-step solutions.

PostgreSQL development for Python with full-text search (tsvector, tsquery, BM25 via pg_search), vector similarity (pgvector with HNSW/IVFFlat), JSONB and array indexing, and production deployment. Use when creating search features, storing AI embeddings, querying vector similarity, optimizing PostgreSQL indexes, or deploying to AWS RDS/Aurora, GCP Cloud SQL/AlloyDB, or Azure. Covers psycopg2, psycopg3, asyncpg, SQLAlchemy integration, Docker development setup, and index selection strategies. Triggers: "PostgreSQL search", "pgvector", "BM25 postgres", "JSONB index", "psycopg", "asyncpg", "PostgreSQL Docker", "AlloyDB vector". Does NOT cover: DBA administration (backup, replication, users), MySQL/MongoDB/Redis, schema design theory, stored procedures.