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Found 694 Skills
Mobile and web push notification strategy — opt-in optimization, rich push, segmentation, timing, frequency capping, deep linking, A/B testing, and analytics. Covers strategy and implementation across Braze, OneSignal, Airship, Firebase/FCM, Customer.io, Klaviyo, Iterable, and MoEngage. Use when designing push notification strategy, improving push opt-in rates, building push campaigns, choosing a push provider, or optimizing push engagement. Do NOT use for in-app messages (use /sales-in-app-messaging), email marketing (use /sales-email-marketing), SMS/WhatsApp messaging (use /sales-braze or platform-specific skill), or cold outbound (use /sales-cadence). For Braze-specific help, use /sales-braze. For Customer.io-specific help, use /sales-customerio.
Guide for adding new AI function examples, for testing specific features against the actual provider APIs.
Integrate Modellix's unified API for AI image and video generation into applications. Use this skill whenever the user wants to generate images from text, create videos from text or images, edit images, do virtual try-on, or call any Modellix model API. Also trigger when the user mentions Modellix, model-as-a-service for media generation, or needs to work with providers like Qwen, Wan, Seedream, Seedance, Kling, Hailuo, or MiniMax through a unified API.
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.
Front door for any GTM task on Cargo — sourcing, waterfall enrichment, email/phone/LinkedIn lookup, email verification, scoring, qualification, sequencing, CRM sync, and signal monitoring (job changes, funding, tech-stack/hiring intent). Use when the user states a real-world goal involving prospects, leads, accounts, contacts, ICP lists, or campaign activation. Routes to phase guides (Level 2), recipes (Level 2.5), and per-provider playbooks (Level 3) before any action call.
Universal AI video generation supporting OpenAI Sora, Google Veo 2/3, Runway Gen-3/Gen-4, Pika 2.2, Luma Dream Machine (Ray 2), FAL (Kling / Wan / Veo / Sora wrappers), Ark Seedance 1.5 Pro/Lite, Bailian Wanx (i2v), MiniMax Hailuo-02, and Vidu Q3. Use this skill whenever the user asks to generate, create, make, or synthesize a video from a text prompt or from a first-frame image. Covers text-to-video and image-to-video, with optional last-frame control on providers that support it. Typical phrases include "generate a video of ...", "make a 5-second clip of ...", "animate this image", "生成一段视频", "做个短片", or any mention of video-generation model families like Sora, Veo, Runway Gen, Kling, Wan, Seedance, Hailuo, Pika, Dream Machine, Vidu. Always use this skill even if the user does not name a specific model — pick a provider from their EXTEND.md defaults or available API keys. Do NOT use this skill when the user explicitly mentions 即梦 / Dreamina / Jimeng — those go to happy-dreamina instead.
Terra API device and provider connections. Use when connecting users to wearables (Fitbit, Garmin, Apple Health, Oura, WHOOP), managing user sessions, or handling disconnections.
Write, refine, run, and QA promptfoo evaluation suites: promptfooconfig.yaml, prompts, providers, vars, tests, assertions, model-graded rubrics, transforms, datasets, exports, and CI gates. Use for non-redteam eval coverage, regression tests, or new eval matrices. Do not use for adversarial redteam plugin or strategy setup.
Connects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-compatible local model server with NemoClaw. Trigger keywords - nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint, switch nemoclaw inference model, change inference runtime, nemoclaw additional model, nemoclaw sub-agent model, openclaw sub-agent, agents.list, sessions_spawn, vlm-demo, nemoclaw tool calling, ollama tool calls, vllm tool-call-parser, raw json in tui, nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing.
Use whenever the user mentions LLM prompt/prefix cache misses, cached_tokens=0, cache_read_input_tokens/cache_creation_input_tokens, prompt_cache_key, cache_control/cachePoint placement, stable prefixes, tool/schema stability, TTFT/prefill latency, OpenAI/Claude/Bedrock/OpenRouter routing, vLLM/SGLang KV reuse, or LLM cost/speed regressions on repeated long prompts. Use when reviewing LLM request shape changes: prompt text, message order, request builders, tools, schemas, response_format, provider API surface, model/router settings, agent loop structure, context compaction, or inference deployment. Use for speeding up agents only when prompt-cache stability, TTFT, or cache cost is central. Do not use for generic prompt writing, generic RAG design, token counting, or non-LLM performance.
Writes and reviews Swift App Intents code that exposes app actions and data to Siri, Shortcuts, Spotlight, widgets, Control Center, and Apple Intelligence. Use when adding AppIntent, AppEntity, OpenIntent, AppShortcutsProvider, EntityQuery, Focus Filters, AssistantEntity/AssistantIntent schemas, or when wiring SwiftData/networked data into intents.
Use when the user wants Terraform HCL for Alibaba Cloud (Alicloud) infrastructure — new project or extending an existing one. Covers VPC, ECS, ApsaraDB RDS, OSS, SLB / ALB, Function Compute v3, ACK, and any other `alicloud_*` resource via the provider's own documentation fetched at generation time. For AWS → Alicloud migration or importing existing resources into state, use a different skill. Triggers: "write terraform for alicloud", "generate alibaba cloud terraform", "alicloud HCL", "create alibaba cloud vpc/ecs/rds", "生成阿里云 Terraform", "阿里云 HCL", "用 Terraform 部署阿里云", "alicloud provider", "aliyun/alicloud", "terraform-provider-alicloud".