The Technology Building Block is a designed package of IBM capabilities that we can use immediately. It was engineered by IBM's Build Engineering team specifically to speed up our solution delivery and quickly show the immense technical and business value we get from the IBM technology stack, especially with Embeddable AI and Automation.
Plan and run evaluations, red-teaming, and runtime observability for watsonx Orchestrate (WXO) agents across Developer Edition and SaaS. Use when validating WXO agents pre-deploy, authoring benchmark JSON DAGs, interpreting Journey Success / Tool Call Recall / Agent Routing F1 / RAG Faithfulness, diagnosing agent…
Complete watsonx Orchestrate agent lifecycle skill — build single and multi-agent systems with the ADK, orchestrate complex workflows with MCP/A2A/AI Gateway integration, integrate agents into applications via REST API, and add voice capabilities with STT/TTS channels. MANDATORY: Search ADK MCP docs before…
Use when the user wants to work with Instana application monitoring — building or modifying TypeScript API clients, creating React observability dashboards with trace visualizations, analyzing service errors and latency, setting up monitoring integrations, handling pagination and retries, or investigating performance…
Expert guidance for DataStax Astra DB NoSQL data modeling on IBM Cloud (HCD portfolio) — covers astrapy Document API for collection CRUD, MongoDB-style filter expressions, Cassandra-compatible data modeling, collection schema design without vector, bulk insert patterns, and $set/$unset update operators. Generates…
Reusable skills for the Turbonomic Resource Dashboard project. Each skill is a specialized workflow that Bob can activate to help with specific development tasks.
Comprehensive React and Carbon Design System development for building modern, accessible UI components with proper styling, state management, and performance optimization.
Evaluate GenAI applications — RAG pipelines, LLM/chatbot outputs, and AI agents with tool-calling — before deployment using IBM watsonx.governance metrics. Use when scoring RAG faithfulness / answer relevance / context relevance / retrieval precision, screening LLM outputs for HAP / PII / social bias / jailbreak /…
Expert guidance for building real-time streaming systems on Confluent Cloud using Infrastructure-as-Code (Terraform), Apache Flink SQL, and Python producers. Adapts to any streaming use case (IoT, finance, retail, healthcare, logistics) while maintaining production-ready quality.
Expert guidance for building IBM watsonx.data structured data ingestion pipelines — covers DB2, PostgreSQL, MySQL, Oracle connectors via IBM DataStage and StreamSets, CDC with log-based capture, batch and incremental load patterns, schema evolution handling, and IBM Cloud IAM authentication. Generates production-ready…
Expert guidance for IBM UDI (Unstructured Data Ingestion) and IBM Docling-based pipeline design — covers PDF, DOCX, HTML, image (OCR) parsing, IBM COS document source, watsonx.data target, metadata extraction, chunking strategy selection, and IBM Cloud IAM authentication. Generates production-ready Python 3.12…
Expert guidance for implementing IBM watsonx.data Intelligence data quality rules on IBM Cloud — covers IAM authentication, DQ rule creation (completeness, uniqueness, validity, consistency, accuracy), rule execution via the DAI REST API, quality score interpretation, data profiling job submission, and IBM COS report…
Expert guidance for building real-time streaming systems on Confluent Cloud using Infrastructure-as-Code (Terraform), Apache Flink SQL, and Python producers. Adapts to any streaming use case (IoT, finance, retail, healthcare, logistics) while maintaining production-ready quality.
Use this skill to learn hot to use the IBM Cloud CLI (ibmcloud) commands, flags, command patterns, or troubleshooting guidance. Covers core CLI workflows: install/verify/update, login with SSO or API keys, select account/region/resource group targets, inspect and configure CLI output, manage plug-ins (e.g.…
Use for any Ansible-related tasks including playbook development, shell script conversion, debugging failures, or interactive setup. This is the parent skill that provides access to specialized Ansible workflows.
Use when converting shell scripts to Ansible playbooks. Use when migrating bash automation, manual procedures, or Dockerfiles to idempotent Ansible tasks.
Use when playbooks fail with UNREACHABLE, permission denied, MODULE FAILURE, or undefined variable errors. Use when SSH connections fail or sudo password is missing.
Use when guiding someone through Ansible setup step-by-step. Use when starting a new Ansible project from scratch. Use when teaching Ansible through hands-on development.
Use when creating playbooks, roles, or inventory files. Use when automating infrastructure with Ansible. Use when encountering YAML syntax errors, module failures, or variable precedence issues.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: