ai

Biome documentation — fast web toolchain for JavaScript, TypeScript, JSX, JSON, CSS, and GraphQL. Covers linter (473 lint rules across accessibility, complexity, correctness, nursery, performance, security, style, suspicious categories), formatter (JS/TS/JSON/CSS/GraphQL formatting options), analyzer (import sorting), assist (actions and source actions), configuration reference (biome.json), CLI usage, editor integration, recipes (CI setup, Git hooks), and internals (architecture, changelog, credits). USE THIS SKILL WHEN the user asks about Biome linting rules, formatting config, biome.json setup, migration from ESLint/Prettier, or Biome CLI usage.

Use when working with Cloudflare networking products: DNS, SSL/TLS, cache, load balancing, Magic Transit, Spectrum, BYOIP, network flow, interconnect, registrar, Web3, email routing/service, health checks, waiting room, or traffic routing.

Use when working with Cloudflare observability and account administration: Analytics, Logs, Logpush, Log Explorer, Radar, notifications, billing, support, Terraform/Pulumi, fundamentals, learning paths, reference architectures, account resources, or admin docs.

Use when working with Cloudflare security products: WAF, DDoS protection, Bot Management, API Shield, Turnstile, Rules, Ruleset Engine, firewall rules, network firewall, client-side security, challenges, DMARC, or security troubleshooting.

Use when working with Cloudflare Workers platform: Workers runtime APIs, Wrangler deployment, Pages, Durable Objects, Workflows, Containers, Browser Rendering, Sandbox, Workers VPC, bindings, routing, compatibility dates, or edge application troubleshooting.

Use when working with Cloudflare Zero Trust: Cloudflare One, Access, Gateway, WARP, Tunnel, device posture, DEX, CASB, Magic WAN/Cloudflare WAN, Zero Trust networking, 1.1.1.1, privacy proxy, or secure access troubleshooting.

ComfyUI documentation — node-based Stable Diffusion GUI and workflow engine. Covers 67 built-in nodes (CheckpointLoader, KSampler, CLIPTextEncode, VAEDecode, ControlNet, LoRA, IPAdapter, etc), custom node development (Python API, data types, UI widgets, backend extension), workflow tutorials (text-to-image, image-to-image, inpainting, ControlNet, LoRA, SDXL, Flux, upscaling, video, audio, 3D), ComfyUI Manager, Registry (publishing/versioning nodes), Comfy CLI, API reference, cloud deployment, installation (Desktop/manual/Docker), interface guide, and troubleshooting. USE THIS SKILL WHEN the user asks about ComfyUI nodes, workflows, custom node development, ComfyUI API, or Stable Diffusion pipeline configuration.

Use when working with OpenCode (anomalyco/opencode): terminal AI coding agent, configuration, model providers (Claude, OpenAI, Google, local models), custom agents, custom tools, MCP servers, LSP integration, key bindings, themes, modes, plugins, permissions, TUI, SDK, or OpenCode development setup.

Use when working with Ultralytics YOLO, including YOLO26/YOLO11/YOLOv8 models, detect/segment/classify/pose/OBB tasks, train/val/predict/export/track/benchmark modes, dataset YAML formats, HUB/platform workflows, integrations, solutions, or ultralytics Python API behavior.

Use when working with vLLM inference engine: OpenAI-compatible serving, model deployment, quantization (AWQ, GPTQ, FP8, GGUF, INT4/INT8), speculative decoding, LoRA adapters, structured outputs, tool calling, multimodal inputs, distributed serving (tensor/pipeline/expert/context parallel), Docker/Kubernetes deployment, engine configuration, memory optimization, PagedAttention, offline inference, CLI usage, or troubleshooting vLLM issues.

Use when working with the Bun JavaScript runtime, package manager, bundler, or test runner: HTTP server, file I/O, SQLite, S3, Redis, shell scripting, FFI, workers, WebSocket, bunfig, bun install, bun test, bun build, bundler plugins, loaders, executables, macros, or any Bun API and configuration.

Use when working with Hugging Face Hub: model/dataset/Space repositories, Hub APIs, tokens, gated models/datasets, organizations, collections, cards, inference providers, jobs, storage/Xet, enterprise features, billing, webhooks, or Hub repository troubleshooting.

Use when working with the OpenRouter API: model routing, provider selection, model variants (free/nitro/thinking), tool calling, structured outputs, prompt caching, OAuth, API keys, rate limits, streaming, embeddings, Claude Code integration, or any OpenRouter-specific feature.

Use when working with the terraform-docs CLI for generating Terraform module documentation: markdown/asciidoc/json/yaml/toml/xml/tfvars output formats, .terraform-docs.yml configuration, formatter options, output injection, recursive modules, sections visibility, pre-commit hooks, GitHub Actions, plugins, or terraform-docs troubleshooting.

Use when working with Cloudflare AI and media products: Workers AI, AI Gateway, Agents, Agent Memory, AI Search, AI Crawl Control, Realtime, Stream, Images, Videos, model inference, agent workflows, media delivery, or AI observability.

Use when working with Cloudflare data and storage products: D1, R2, R2 SQL, KV, Queues, Hyperdrive, Vectorize, Pipelines, Artifacts, Secrets Store, bindings, limits, migrations, SQL, object storage, or data pipeline troubleshooting.

Use when a Cloudflare question is broad or you need to choose the right Cloudflare skill. Routes to Cloudflare Workers, Data, AI, Zero Trust, Security, Networking, or Observability/Admin docs.

Gitea documentation — self-hosted Git service (lightweight GitHub/GitLab alternative) written in Go. Covers installation (Docker, binary, source, Kubernetes, cloud providers), administration (config cheat sheet, environment variables, reverse proxy, HTTPS, email, logging, authentication, backup/restore, Git LFS, GPG signing, fail2ban), usage (Actions CI/CD, packages registry for npm/PyPI/Docker/Maven/Go/Helm/Cargo/etc, webhooks, pull requests, AGit flow, protected branches/tags, repository mirroring, code owners, markdown), and development (API, OAuth2 provider, migrations, contributing guidelines). USE THIS SKILL WHEN the user asks about Gitea setup, configuration, Actions, package registry, API, or administration.

Use when working with the Gemini REST API: generateContent, streamGenerateContent, embedContent, caching, file uploads, token counting, model tuning, batch mode, live/real-time API, or any Google AI API endpoint parameters and response shapes.

Use when working with Grafana: dashboards, panels, visualizations, alerting, data sources (Prometheus, Loki, Elasticsearch, InfluxDB, MySQL, PostgreSQL, CloudWatch, Azure Monitor), provisioning, as-code (Terraform, Ansible, Grafana Operator), RBAC, SSO/SAML/LDAP, plugins, API, or Grafana setup and administration.

USE THIS SKILL WHEN working with Mastra (TypeScript AI agent framework): building agents, workflows, RAG pipelines, memory, voice, evals, MCP tools, observability/tracing, deploying to Mastra Cloud/Cloudflare/Vercel, or using Mastra client SDK. Triggers on: mastra, Mastra agent, Mastra workflow, createAgent, createWorkflow, mastra.run, MastraClient, @mastra/core.

Use when working with the OpenAI REST API: Responses API, Chat Completions, audio transcription/speech, embeddings, images, files, fine-tuning, batches, models, moderations, vector stores, assistants, or any OpenAI API endpoint parameters and response shapes.

Use when answering questions about OpenAI platform features, guides, and concepts: Responses API usage, agents, function calling, text generation, vision, audio, embeddings, fine-tuning, batch processing, moderation, assistants, ChatKit, or any OpenAI developer guide topic.

Use when working with PyTorch APIs, tensors, autograd, torch.nn, torch.optim, torch.compile, export, distributed/RPC, CUDA/MPS/XPU backends, profiling, quantization, ONNX export, C++/LibTorch, or PyTorch runtime/debugging behavior.

USE THIS SKILL WHEN working with HuggingFace Transformers: loading/fine-tuning pretrained models, Pipeline API, text generation, tokenizers, chat templates, quantization (GPTQ/AWQ/bitsandbytes/GGUF), distributed training (FSDP/DeepSpeed), inference optimization, Trainer API, or vLLM/SGLang integration. Triggers on: transformers, AutoModel, AutoTokenizer, from_pretrained, pipeline(), generate(), Trainer, BitsAndBytesConfig, chat_template.

Use when integrating DuckDB through C, CLI, C++, Go, Java, Node.js, ODBC, Python, R, Rust, WebAssembly, ADBC, or tertiary client APIs.

Use when writing, debugging, optimizing, or checking DuckDB SQL syntax, statements, functions, data types, dialect, or query semantics.

USE THIS SKILL WHEN working with EvalScope (ModelScope LLM evaluation framework): running evaluations, TaskConfig, supported datasets/benchmarks, evaluation backends (Native/OpenCompass/VLMEvalKit/RAGEval), performance stress testing (perf), custom datasets, multi-modal eval, arena mode, visualization, or integrating with vLLM/Swift/SGLang. Triggers on: evalscope, EvalScope, run_task, TaskConfig, evalscope eval, evalscope perf, ModelScope eval.

Use when working with llama.cpp: building from source, installation, GGUF model loading, quantization, speculative decoding, function calling, multimodal models (LLaVA, Gemma3, MiniCPM), GPU backends (CUDA, Metal, Vulkan, SYCL, OpenCL, CANN), Android deployment, Docker setup, performance tuning, or adding new model architectures to llama.cpp.

Use when installing, loading, configuring, developing, or troubleshooting DuckDB core and community extensions.

Use when administering GitLab Self-Managed or Dedicated: installation, configuration, Admin area settings, users, auth, Geo, Gitaly, PostgreSQL, Redis, Sidekiq, object storage, backups, monitoring, logs, upgrades, instance limits, feature flags, security, and troubleshooting.

Use when working with GitLab API docs: REST API endpoints, GraphQL API, authentication, pagination, rate limits, groups, projects, issues, merge requests, pipelines, jobs, packages, releases, users, access tokens, webhooks, admin APIs, and OpenAPI schemas.

Use when working with GitLab CI/CD docs: .gitlab-ci.yml syntax, jobs, stages, rules, workflow, include, inputs, components, variables, secrets, runners, executors, pipelines, artifacts, cache, environments, deployments, Docker, services, test reports, and pipeline troubleshooting.

Use when working with GitLab user-facing product docs: projects, groups, repositories, issues, merge requests, wikis, snippets, packages, releases, environments, application security, compliance, GitLab Duo, imports, search, permissions, profile, SSH, storage, and end-user workflows.

glab CLI documentation — GitLab's official command-line tool. Covers merge requests, issues, CI/CD pipelines, repositories, runners, releases, clusters, stacks, variables, schedules, labels, milestones, auth, config, snippets, deploy keys, SSH/GPG keys, Duo AI, MCP, and OpenTofu. USE THIS SKILL WHEN the user asks about glab commands, glab CLI reference, glab mr, glab ci, glab issue, glab repo, glab runner, or GitLab CLI docs.

Use when learning about Gemini model capabilities, guides, and concepts: text generation, thinking/reasoning, vision, audio, video, structured output, function calling, code execution, grounding, prompt caching, context windows, safety, embeddings, pricing, or OpenAI compatibility.

Use when working with Grafana plugins and plugin-specific docs, including data source/app/panel plugins such as Infinity, CloudWatch, ClickHouse, Zabbix, GitHub, GitLab, Jira, ServiceNow, MongoDB, OpenSearch, Volkov Labs panels, plugin configuration, query editors, variables, annotations, alerting, provisioning, or troubleshooting.

Immich documentation — self-hosted photo/video management. Covers installation (Docker, Kubernetes, Synology, TrueNAS, Unraid), administration (backup, OAuth, reverse proxy, storage templates), features (facial recognition, ML acceleration, hardware transcoding, mobile backup, libraries, search), and developer guides. USE THIS SKILL WHEN the user asks about Immich, immich install, immich backup, immich facial recognition, or immich transcoding.

OpenObserve documentation — open-source observability platform for logs, metrics, traces, and RUM. Covers architecture, deployment, ingestion (OTLP, Fluent Bit, Vector, syslog), SQL functions, alerts, dashboards, pipelines, RBAC, API reference, and 50+ integrations (AWS, GCP, K8s, databases). USE THIS SKILL WHEN the user asks about OpenObserve setup, configuration, querying, alerting, or integration with observability pipelines.

Use when working with oRPC (OpenAPI Remote Procedure Call): defining type-safe RPC procedures, routers, middleware, context, error handling, event iterators (streaming), file upload/download, contract-first design, OpenAPI spec generation, server adapters (Next.js, Hono, Express, Fastify, Nuxt, Astro, Elysia, H3, SvelteKit, Remix, TanStack Start, Solid Start, WebSocket, Electron, Web Workers), client-side usage (RPC link, OpenAPI link, dynamic link), plugins (CORS, batch requests, compression, retry, CSRF, rate limit), integrations (TanStack Query, AI SDK, Better Auth, Sentry, OpenTelemetry, Pinia Colada, SWR), or migrating from tRPC.