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Found 3,853 Skills
Audit UI performance with Lighthouse and fix Core Web Vitals — LCP, CLS, INP. Fast UI is good UX. Use when optimising page load, fixing layout shift, reducing input delay, improving Lighthouse scores, or reviewing images, fonts, and render-blocking resources.
Orchestrate multiple code-writing agents in parallel when the work contains 3 or more genuinely independent build tasks. Use for execution lanes with disjoint write scope, clear task boundaries, and no dependency edges that would force sequencing.
NestJS reference skill: modules, controllers, providers, DTOs with class-validator, TypeORM/Prisma, guards, interceptors, pipes, queues (BullMQ), WebSockets, microservices, testing, OpenAPI, and CLI scaffolding. Use when the task touches NestJS application code and should follow the project's module-based architecture.
Automate and manage Google Cloud Platform resources using Terraform for infrastructure as code.
Upgrade any Pulumi provider to a newer version and reconcile the resulting diff. Use when users want to upgrade or update a provider (including editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml to bump a provider SDK), check for breaking changes before or during an upgrade, fix resources that broke after a provider upgrade, or resolve unexpected replacements, creates, or deletes in a post-upgrade preview. Applies to all providers (aws, azure-native, gcp, kubernetes, aws-native, cloudflare, datadog, etc.) — not just Tier 1. Do NOT use for querying which stacks use what package versions; use skill `package-usage` for cross-stack audits. Do NOT use for general infrastructure tasks.
Use whenever writing or reviewing Laravel PHP code (Laravel 13+). Prefer PHP attributes over class properties for models, jobs, commands, controllers, form requests, tests, factories, API resources, and container bindings. Trigger on $fillable, $table, $queue, $tries, $signature, $redirect, $errorBag, $seeder, constructor middleware, singleton registration, and any new Laravel class.
Configure Steedos Server via environment variables and YAML settings files. Covers required env vars (MONGO_URL, ROOT_URL, B6_TRANSPORTER, B6_CACHER), steedos-config.yml project settings, default.steedos.settings.yml template with env interpolation, datasources, tenant settings, CFS file storage (local, aliyun, aws, steedosCloud), SSO/OIDC, email, SMS, push notifications, and frontend asset URLs.
Comprehensive guide to Steedos field types and configurations. Fields are defined as .field.yml files in objects/{name}/fields/. Covers text fields, numeric fields (number, currency, percent, autonumber), date/time, boolean/select, relationship fields (lookup, master-detail), computed fields (formula, summary), file/media, and special types. Includes field properties, amis UI customization, visible_on formulas, validation, defaults, and dependencies.
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or audit such a base, or initialize a new one. Trigger on phrases like "add this to my wiki", "ingest this paper", "compile this into the knowledge base", "what does my wiki say about X", "lint the wiki", "build a knowledge base from these documents", "research notes", "second brain", "personal knowledge base", or any reference to LLM Wiki / OmegaWiki. Trigger even when the user does not say "wiki" — if they are accumulating sources over time and want them organized, this applies. The skill scales — sharded indexes, atomic pages, YAML frontmatter, and a bundled search script keep the wiki from becoming a context bottleneck at hundreds or thousands of pages.
Generate a comprehensive, structured learning guide for any technical topic or technology. Use this skill whenever a user wants to learn a new technology, programming language, framework, tool, or concept — even if they phrase it casually (e.g., "teach me Rust", "how do I get started with Kubernetes", "I want to learn React", "help me understand GraphQL", "give me a roadmap for learning Docker"). This skill covers concept identification and categorization, weekly study schedules, local dev setup, concept explanations with examples, exercises, popular libraries, project ideas, and resources. Trigger for any "how do I learn X", "roadmap for X", "getting started with X", "study plan for X", or "teach me X" request — even if they don't explicitly ask for a guide or roadmap.
LLM-as-a-judge HTTP/HTTPS proxy that secures AI agents by intercepting and evaluating outbound requests against security policies before they reach external APIs.
OpenGame is an open-source agentic framework for end-to-end web game creation from a single text prompt, using LLMs, Game Skill (Template + Debug), and headless browser evaluation.