Total 33,468 skills
Showing 12 of 33468 skills
Comprehensive blueprint for Action RPGs including real-time combat (hitbox/hurtbox, stat-based damage), character progression (RPG stats, leveling, skill trees), loot systems (procedural item generation, affixes, rarity tiers), equipment systems (gear slots, stat modifiers), and ability systems (cooldowns, mana cost, AOE). Based on expert ARPG design from Diablo, Path of Exile, Souls-like developers. Trigger keywords: action_rpg, loot_generator, rpg_stats, skill_tree, hitbox_combat, item_affixes, equipment_slots, ability_cooldown, stat_scaling.
Expert blueprint for GDSkills skill discovery and indexing system. Enables AI agents to find relevant skills by topic/keyword. Use when building skill libraries OR implementing search functionality. Keywords skill discovery, indexing, search, metadata, skill registry.
Use when writing async/await code, enabling strict concurrency, fixing Sendable errors, migrating from completion handlers, managing shared state with actors, or using Task/TaskGroup for concurrency.
Expert patterns for Godot AutoLoad (singleton) architecture including global state management, scene transitions, signal-based communication, dependency injection, autoload initialization order, and anti-patterns to avoid. Use for game managers, save systems, audio controllers, or cross-scene resources. Trigger keywords: AutoLoad, singleton, GameManager, SceneTransitioner, SaveManager, global_state, autoload_order, signal_bus, dependency_injection.
Expert blueprint for RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.
Use when compressing agent context, implementing conversation summarization, reducing token usage in long sessions, or asking about "context compression", "conversation history", "token optimization", "context limits", "summarization strategies"
Review Next.js security audit patterns for App Router and Server Actions. Use for auditing NEXT_PUBLIC_* exposure, Server Action auth, and middleware matchers. Use proactively when reviewing Next.js apps. Examples: - user: "Scan Next.js env vars" → find leaked secrets with NEXT_PUBLIC_ prefix - user: "Audit Server Actions" → check for missing auth and input validation - user: "Review Next.js middleware" → verify matcher coverage for protected routes - user: "Check Next.js API routes" → verify auth in app/api and pages/api - user: "Secure Next.js headers" → audit next.config.js for security headers
Server-driven architecture patterns for Inertia Rails + React. Load this FIRST when building any Inertia page or feature — it routes to the right skill. Decision matrix for data loading, forms, navigation, state management. NEVER useEffect+fetch, NEVER redirect_to for external URLs (use inertia_location), NEVER react-hook-form (use Form component). MUST invoke when adding pages, models with views, CRUD, or displaying data in an Inertia Rails app. ALWAYS `render inertia: { key: value }` to pass data — `@ivars` are NOT auto-passed as props.
Implementation workflows and decision trees for Frappe Document Controllers. Use when determining HOW to implement server-side DocType logic: lifecycle hooks, validation patterns, autoname, submittable workflows, controller override. Triggers: how do I implement controller, which hook to use, validate vs on_update, override controller, submittable document, autoname pattern, flags system.
Use when "NetworkX", "graph analysis", "network analysis", "graph algorithms", "shortest path", "centrality", "PageRank", "community detection", "social network", "knowledge graph"
Use when "designing AWS architecture", "serverless AWS", "cloud infrastructure", "Lambda", "DynamoDB", or asking about "AWS cost optimization", "CloudFormation", "CDK", "API Gateway", "ECS", "EKS"
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"