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Found 797 Skills
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.
Validate and prepare documentation for GitHub Pages deployment
Deploy, import, interact with, and monitor smart contracts using Circle Smart Contract Platform APIs. Supports bytecode deployment, template contracts (ERC-20/721/1155/Airdrop), ABI-based read/write calls, and webhook event monitoring. Keywords: contract deployment, smart contract, ABI interactions, template contracts, event monitoring, contract webhooks, bytecode, ERC-1155, ERC-20, ERC-721.
Monetizes browser games with Play.fun by guiding game registration, rewards and leaderboard setup, SDK integration, and deployment. Use when the user says "monetize my game", "add Play.fun", "add token rewards", "add a leaderboard", "register my game", "deploy so players earn rewards", or "launch a Playcoin". Do NOT use for generic game design, unrelated Solana questions, or non-game web apps.
v0 by Vercel expert guidance. Use when discussing AI code generation, generating UI components from prompts, v0 CLI usage, v0 SDK/API integration, or integrating v0 into development workflows with GitHub and Vercel deployment.
Framework for deciding whether to keep a Solana program upgradeable or make it immutable, including trust, operations, and governance tradeoffs. Use before deployment or key rotation.
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation, normalization, OCSF mapping, enrichment, lookup tables, contexts, packages, nodes, platform setup, deployment, configuration, integrations with tools like Splunk, Kafka, S3, Elasticsearch, or any other Tenzir feature. Also use when the user asks how to collect, route, filter, aggregate, or export security data with Tenzir, or needs help writing or debugging TQL pipelines, even if they don't mention 'Tenzir' explicitly but are clearly working in a Tenzir context.
Use this skill when containerizing applications, writing Dockerfiles, deploying to Kubernetes, creating Helm charts, or configuring service mesh. Triggers on Docker, Kubernetes, k8s, containers, pods, deployments, services, ingress, Helm, Istio, container orchestration, and any task requiring container or cluster management.
Next.js App Router expert guidance. Use when building, debugging, or architecting Next.js applications — routing, Server Components, Server Actions, Cache Components, layouts, middleware/proxy, data fetching, rendering strategies, and deployment on Vercel.
Create and manage GitHub repositories, pull requests, issues, releases, branches, secrets, and more using the orbit CLI. Use this skill whenever the user asks about GitHub repositories, PRs (pull requests), GitHub Actions workflow runs, branches, tags, commits, issues, releases, secrets, or organization repos. Trigger on phrases like 'list PRs', 'check the actions', 'watch the workflow', 'create a secret', 'open a pull request', 'view the latest commits', 'list repos in org X', 'rerun the workflow', 'close the issue', 'latest release', 'set a GitHub secret', or any GitHub-related task — even casual references like 'what's running in CI', 'show me the PRs', 'tag a release', 'check if it merged', 'list repos', 'is the build passing', or 'add a deploy key secret'. Also trigger when the user wants to monitor CI/CD progress, manage Actions secrets for deployments, or debug failing workflows. The orbit CLI alias is `gh`.
Fast-track an urgent fix through a streamlined pipeline. Skips Product/Feature Council, applies the fix, runs a focused review, and creates a PR with optional Deployment Council. Use for production bugs, security patches, or critical regressions that cannot wait for the full planning pipeline.
Use this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models, or managing feature stores. Triggers on model deployment, model serving, ML pipelines, feature engineering, model versioning, data drift detection, model registry, experiment tracking, and any task requiring machine learning operations infrastructure.