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Found 1,495 Skills
Cross-cutting reliability patterns for PubNub apps. Covers reconnect with exponential backoff + jitter, idempotent publish with client-generated message IDs, dedup-on-merge for live + history streams, queue-and-retry for offline writes, and schema versioning of message envelopes. Use during design reviews, when planning offline support, or during incident response when network or delivery reliability is the concern.
Your agent goes blind after send. Sync Smartlead, Instantly, HeyReach, and 5 more sequencers into one local SQLite database your agent can query directly. Every reply, click, bounce, and booking lands on your machine. No CSV exports, no merged sheets, no API round trips.
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the `cacheComponents` flag, work through a flood of blocking-prerender / instant validation errors, run the `cache-components-instant-false` codemod, or decide between opting routes out with `export const instant = false` and fixing them in place.
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.
Project conventions for Laravel projects, including application code, project-supporting PHP, Inertia Blade shells, React Email templates, schema-backed models, and Pest test routing. Use when creating or changing routes, config, localization, bootstrap/public entrypoints, seeders, root tooling PHP, models, migrations, relationships, casts, factories, resources, actions, console commands, middleware, listeners, policies, providers, support classes, resources/views Blade shells, resources/react-email mail templates/exports, or tests under Unit, Integration, Feature, or Architecture, plus Browser only when a real browser suite exists. Encodes strict typed PHP, unguarded Eloquent models, public NanoID route keys, indexed *_id columns without database foreign key constraints, migrations without down() methods, controller/API feature test ordering, and system-logic model integration tests.
Create and control VFX in Unreal Engine 5 with Niagara: systems and emitters, modules and the spawn/update stages, exposed User parameters, and spawning or driving effects from Blueprints or C++. Use when building particle effects, NS_/NE_ assets, spawning a Niagara system at runtime, setting User parameters, or when the user mentions Niagara, VFX, or a particle system in Unreal.
Use C#/.NET in Godot 4.x: partial classes extending nodes, the PascalCase lifecycle (_Ready/_Process/_PhysicsProcess), [Export] fields, [Signal] delegates as C# events, GetNode<T>, and calling between C# and GDScript. Use when writing Godot game code in C# (.cs files, .csproj), needing the Godot .NET build, converting GDScript patterns to C#, or wiring Godot signals as C# events.
Unified issue resolution pipeline with source selection. Plan issues via AI exploration, convert from artifacts, import from brainstorm sessions, form execution queues, or export solutions to task JSON. Triggers on "issue:plan", "issue:queue", "issue:convert-to-plan", "issue:from-brainstorm", "export-to-tasks", "resolve issue", "plan issue", "queue issues", "convert plan to issue".
nginx C module directive design guidelines for creating admin-friendly configuration interfaces. This skill should be used when designing nginx module directives — deciding what to expose vs hardcode, naming conventions, scope placement, default values, variable design, and validation patterns. Triggers on tasks involving ngx_command_t design, directive naming, configuration API design, nginx module public interface, or directive deprecation.
Create custom job steps for B2C Commerce batch processing. Use when writing scheduled tasks, data sync jobs, import/export scripts, or any server-side batch processing code. Covers steptypes.json, chunk-oriented processing, and task-oriented execution. For running existing jobs, use b2c-job instead.
Expert GDScript best practices including static typing (var x: int, func returns void), signal architecture (signal up call down), unique node access (%NodeName, @onready), script structure (extends, class_name, signals, exports, methods), and performance patterns (dict.get with defaults, avoid get_node in loops). Use for code review, refactoring, or establishing project standards. Trigger keywords: static_typing, signal_architecture, unique_nodes, @onready, class_name, signal_up_call_down, gdscript_style_guide.
Creates animated GIFs optimized for Slack with proper dimensions (128x128 emoji, 480x480 message), FPS control, color optimization, and file size constraints. Use when asked to "make a GIF for Slack", "create an animated emoji", "design a Slack GIF", or "animate this for Slack". Provides GIFBuilder utilities, frame management, color palette reduction, and validation tools ensuring GIFs meet Slack requirements. Works with Python Pillow (PIL) for frame generation, color quantization, and GIF export with FPS 10-30 and duration under 3 seconds for emoji.