Skills for designing, writing, reviewing, and debugging GitHub Actions workflows that consume netcracker/qubership-workflow-hub actions and Netcracker/.github templates.
3 skills
Migrate Go, Spring, and Quarkus DBaaS services from runtime REST provisioning to mounted database Secrets.
Plugin dbaas-mounted-secret-migration from marketplace qubership-ai-packages in Netcracker/qubership-ai-packages. Commands read from the repo's manifest — yesterday.
dbaas-mounted-secret-migrationMigrate Qubership DBaaS-backed Go, Spring, and Quarkus microservices from runtime REST provisioning to deployment-time InternalDatabase and DatabaseSecretClaim resources with mounted Secrets. Use only when the user asks to migrate an existing service to this mounted-secret workflow.
Skills for designing, writing, reviewing, and debugging GitHub Actions workflows that consume netcracker/qubership-workflow-hub actions and Netcracker/.github templates.
3 skills
Apply NiFi 1.x to 2.x upgrade advisor recommendations to exported flow JSON files.
1 skill
Author Architecture Decision Records that follow the ADR contract used across Qubership repositories.
1 skill
Review GitHub pull requests and GitLab merge requests from an isolated Git workspace and publish feedback with user authorization.
1 skill
Agent-guided setup, testing, repair, and delivery verification.
1 skill
Authoring classify rules, response-scope handling, adapters, and tests for the api-diff library.
1 skill
Connect Claude Code directly to your CockroachDB clusters for hands-on database work — explore schemas, write optimized SQL, debug queries, and manage distributed database clusters. This plugin provides 14 tools across two active MCP backends (self-hosted MCP Toolbox and managed CockroachDB Cloud MCP Server), three specialized agents (DBA, Developer, Operator), 32 skills across 6 operational domains, and built-in safety hooks.
34 skills · 3 agents · 3 MCP servers · hooks
Agent skills for creating BentoML projects, containerizing them, and deploying them to Kubernetes or EC2 with a fully open-source stack
5 skills
AWS Startup Advisor puts an AWS Startups Solutions Architect in your coding assistant. It recommends the smallest architecture that fits your stage, credits, and team, then can scaffold it, migrate you from Azure, Google Cloud, or Heroku, move your model calls to Amazon Bedrock, and investigate production incidents. It also answers your AWS Activate credits eligibility questions and finds startup offers you can use.
13 skills · 1 command · 7 agents · 1 MCP server
Schema design, normalization decisions, indexing strategies, and migration safety for relational databases. Use when designing tables, choosing between normalize vs denormalize, selecting index types, planning zero-downtime migrations, or setting up connection pooling. Activate on "schema design", "normalization", "denormalization", "foreign key", "index strategy", "migration", "connection pooling", "composite key", "surrogate key", "soft delete", "polymorphic association". NOT for PostgreSQL-specific query tuning or EXPLAIN analysis (use postgresql-optimization), NoSQL or document database design, or cloud database provisioning.
1 skill
Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API serving, throughput and latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Use when deploying or running a vLLM server (vllm serve, vllm/vllm-openai), sizing a model and its KV cache for GPUs, selecting quantization and parallelism, serving via /v1 endpoints, measuring serving throughput or latency, tuning batching, or diagnosing GPU, OOM, or startup failures in a vLLM deployment. Do not use for model training, fine-tuning, evaluation-set design, or engine-selection methodology (that is ml-engineering), or for operating the llama.cpp stack with GGUF models (that is llama-cpp); other inference engines (TGI, Ollama, Triton) are out of scope.
194 skills
9 research tools: 5-engine web search, 9 social platforms, 5 news sources, 5 academic databases, GitHub, website mapping, document analysis, and research topic synthesis. No API keys required.
1 MCP server
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