Loading...
Loading...
Found 1,376 Skills
Turn messy Unity or Unreal build/release automation into one bounded game-pipeline packet after naming the signal tier first: fast branch-gate CI, nightly/package- candidate builds, or release/certification candidates. Use when a game team needs to design or repair GitHub Actions, Unity Build Automation, Jenkins, TeamCity, or similar CI for engine builds — especially when they mention flaky packaging, cache superstition, giant build-job blobs, slow cook / package cycles, artifact confusion, SDK/signing drift, or manual candidate promotion that should become reproducible. Route one red log first-pass diagnosis to `game-build-log-triage`.
Build token swap functionality with Circle App Kit or standalone Swap Kit SDKs. App Kit (`@circle-fin/app-kit`) is an all-inclusive SDK covering swap, bridge, and send -- recommended for extensibility. Swap Kit (`@circle-fin/swap-kit`) is a standalone package for swap-only use cases. Both require a kit key and run server-side only. Swap is mainnet-only (no testnet support). Supports same-chain swaps. For cross-chain token movement, combine separate swap and bridge calls using App Kit (swap tokenA to USDC, bridge USDC, swap USDC to tokenB). Use when: swapping tokens, exchanging stablecoins, converting USDT to USDC, setting up swap adapters (Viem, Solana Kit, Circle Wallets), estimating swap rates, configuring slippage or stop limits, collecting custom swap fees, or combining swap and bridge for cross-chain token movement. Triggers on: swap tokens, token exchange, App Kit, Swap Kit, @circle-fin/app-kit, @circle-fin/swap-kit, USDT to USDC, swap USDC, swap stablecoin, estimateSwap, slippage, stop limit, kit key, swap fees.
Grafana Cloud Application Observability (APM), Frontend Observability (RUM/Faro), and AI Observability. Covers RED metrics (Rate/Error/Duration), service maps, span metrics from traces, Faro JavaScript/React SDK for browser instrumentation, session replay, AI/LLM model monitoring, and integration with traces/logs/profiles for full-stack correlation. Use when setting up APM, configuring frontend monitoring, analyzing service performance, or monitoring AI/LLM applications.
Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.
Embed Omni Analytics dashboards in external applications — URL signing, custom themes, iframe events, entity workspaces, and permission-aware content — using the @omni-co/embed SDK and Omni CLI. Use this skill whenever someone wants to embed a dashboard, sign an embed URL, customize the embedded theme, handle embed events, listen for clicks or drills in the iframe, send filters to an embedded dashboard, set up entity workspaces, look up embed users, build a permission-aware content list, white-label an embedded dashboard, or any variant of "embed this dashboard", "customize the iframe theme", "handle click events from the embed", "filter the embedded dashboard", "set up embedding", or "what dashboards can this user see".
Add gateable features to an existing browser game — skin picker, continue-after-death, bonus mode, save slots, daily challenge. Monetization-agnostic scaffolding that leaves clean hooks for any paywall, subscription, or entitlement layer. Features are scaffolded at silver and gold tiers only (bronze is the default everyone gets). Use when the user says "add gateables", "scaffold monetizable features", "add skin picker", "add continue-after-death", "make my game monetizable", or "add premium hooks". Do NOT use for Play.fun SDK integration (use monetize-game) or generic gameplay features (use add-feature).
Use when the user asks for a broad codebase review, substantial PR/branch review, architecture audit, tech-debt scan, cleanup assessment, structural sanity check, or design-alignment review. Default workflow: use sub-agents when available unless specifically forbidden; do not require the user to mention sub-agents, council mode, delegation, or parallel review. Focus on cruft, duplication, weak boundaries, missed reuse, lifecycle/concurrency risks, test/roadmap drift, and code aesthetics. Do not use for narrow bug fixes, ordinary small-diff reviews, frontend visual QA, repo-onboarding docs, or OpenAI Agents SDK production-readiness review. Output evidence-backed findings first, then pressure points, design alignment, open questions, and follow-through.
Replace with a trigger-style description of when this skill should activate. Be specific — this is what the agent uses to decide whether to load the skill. Example: "Sui TypeScript SDK integration. Use when writing, reviewing, or debugging TypeScript code that interacts with Sui RPCs, transactions, or on-chain state."
Run AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK platform, result interpretation, and per-rec custom evaluation hooks. Use when the user mentions TAO AutoML, hyperparameter optimization, HPO, automl, automl_settings, AutoMLRunner, tao_automl, bayesian search, hyperband, ASHA, LLM-guided search, autoresearch, or wants to tune training hyperparameters for any TAO network. Platform-agnostic — runs on any SDK (Lepton, Brev, SLURM, Kubernetes, Docker).
Install Syndicate Links conversion attribution using the shipped merchant API. Covers Shopify backends, generic checkouts, SaaS apps, webhook workers, and agent surfaces without relying on draft-only SDKs or CDN scripts.
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat applications, or advanced reasoning tasks.