rocketlane-automation
rocketlane-automation
【开发与工程】Automate Rocketlane tasks via Rube MCP (Composio). Always search tools first for current schemas.
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storerocket-automation
storerocket-automation
【开发与工程】Automate Storerocket tasks via Rube MCP (Composio). Always search tools first for current schemas.
aws-agentic-ai
aws-agentic-ai
【部署与运维】AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations.
loki-mode
loki-mode
【数据与研究】Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
loki-mode
loki-mode
【数据与研究】Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
agentcore
agentcore
【效率与协作】Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session",…
arize-ai-provider-integration
arize-ai-provider-integration
【效率与协作】Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrat…
company-os
company-os
【设计与创意】The meta-framework for how a company runs — the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse, issue resolution, and 90-day rocks. Use when setting up company operations, selecting a management framework, designing meeting rhythms,…
amazon-bedrock
amazon-bedrock
【部署与运维】Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Applies when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/port…
aws-ai-ml
aws-ai-ml
【部署与运维】Selects, deploys, and customizes AI models on Amazon SageMaker. Training or Processing jobs, fine-tuning (SFT/DPO/RLVR/RLAIF), model selection, dataset preparation, evaluation, SageMaker or Bedrock deployment, inference optimization and endpoint diagnostics. Covers the full lifecycle from planning through production. Use when fine-tuning models on Sa…
azure-to-aws
azure-to-aws
【设计与创意】Migrate workloads from Microsoft Azure to AWS. Triggers on: migrate from Azure, Azure to AWS, move off Azure, migrate AKS to EKS, migrate App Service or Azure VMs to AWS compute, migrate Azure SQL or Azure Database to RDS, migrate Cosmos DB to DynamoDB, migrate Azure OpenAI to Bedrock, move Azure AI or agentic workloads to AWS, estimate AWS costs for…
prompt-library-for-startups
prompt-library-for-startups
【部署与运维】AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Mo…
amazon-elasticache
amazon-elasticache
【部署与运维】Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, co…
aws-amplify
aws-amplify
【部署与运维】Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for q…
rocket-propulsion
rocket-propulsion
【设计与创意】Comprehensive skill for rocket engine design and performance analysis
scenario-unreal-world-building
scenario-unreal-world-building
【数据与研究】Use when building or fixing an Unreal Engine 5 level or open world: World Partition, OFPA, Data Layers, Level Instances, Packed Level Actors, HLOD, landscape size, heightmap import or clipping, edit layers, terrain material rules, foliage and grass, a PCG forest or rock scatter, runtime GPU grass, Nanite and tessellation choices, modular kits, a rive…
threejs-spectral-ocean
threejs-spectral-ocean
【开发与工程】Build large procedural oceans and coast transitions in Three.js. Use for WebGPU/TSL FFT oceans, multi-cascade wavelength bands, coastal breakers, finite-volume shallow-water beach waves, signed-distance coastlines, shallow-water swash films, wet-sand transitions, rock-impact spray, stylized above/below surface optics, permanently submerged Snell-wind…
alibabacloud-emr-starrocks-assistant
alibabacloud-emr-starrocks-assistant
【设计与创意】Alibaba Cloud EMR Serverless StarRocks development & operations assistant. Covers five scenarios: cluster connection, schema design, data ingestion, SQL development & tuning, and cluster health diagnostics. Use this Skill when users ask about StarRocks table design, writing SQL, choosing an ingestion method, query execution plans, materialized views,…
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