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.
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Skill Claude CodeCodex
Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI/CD pipelines, or state operations. Diagnoses failure modes (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guidance.
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Skill Claude CodeCodex
Expert skill for fetching, analyzing, optimizing, and securing IBM Maximo automation scripts with comprehensive best practices. Fetches scripts from Maximo environments via REST API and provides detailed optimization reports.
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Skill Claude CodeCodex
Scan a codebase for hardcoded secrets (API keys, passwords, tokens, cloud credentials, private keys), migrate them to HashiCorp Vault via the Vault MCP server, and replace each hardcoded value with a Vault SDK reference. Use when the user wants to audit, migrate, or remediate secrets in a repository.
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Skill Claude CodeCodex
Expert guidance for IBM watsonx.data OpenSearch vector search — covers k-NN index design with HNSW, IBM watsonx.ai embedding integration (ibm/slate-125m-english-rtrvr), document ingestion from IBM COS, hybrid search (BM25 + k-NN), score normalisation, and performance tuning. Generates production-ready Python 3.12…
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Skill Claude CodeCodex
Use when you need UFC insight pipeline best practices and coding standards — covers required code structure, utils usage, evidence objects, prestige ranking, heading generation, and the compliance checklist. Auto-activates when sdd-pipeline-builder needs the standards, or when the user asks about pipeline coding…
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Skill Claude CodeCodex
Expert guidance for building IBM RAG MCP servers (SSE and stdio transport) using the building-blocks mcp-server pattern — covers registerTool for ingest/retrieve/search operations, IBM watsonx.ai embedding calls, Milvus/OpenSearch connections, IBM COS source integration, SSE server deployment on IBM Code Engine, and…
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Skill Claude CodeCodex
Expert guidance for designing end-to-end IBM RAG pipelines — covers chunking strategy selection, IBM watsonx.ai embedding model choice (ibm/slate-125m-english-rtrvr), vector DB selection (IBM watsonx.data Milvus vs OpenSearch), hybrid search tuning, IBM COS document source, reranking with IBM watsonx.ai cross-encoder…
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Skill Claude CodeCodex
Add IBM watsonx.governance-backed runtime safety and quality guardrails to AI/RAG agents. Use when shipping LLM apps to production, designing 4-choke-point Pass/Flag/Block pipelines (input → retrieval → generation → output), picking metric sets from the 28-metric catalog, wiring guardrails into FastAPI / Flask /…
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Skill Claude CodeCodex needs its repo
Use when the user wants to create a new UFC insight pipeline from a GitHub issue or specification. Generates a spec.md, then builds the complete backend service, unit tests, registers it in the API, and opens a PR.
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Skill Claude CodeCodex
Expert guidance for enriching IBM watsonx.data Intelligence metadata to maximise Text2SQL accuracy — covers adding business descriptions, column synonyms, table relationships, and semantic hints via the DAI REST API, and using the metadataenrichment Python scripts in the building-blocks repository.
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Skill Claude CodeCodex
Expert guidance for evaluating and improving IBM watsonx.data Intelligence Text2SQL generated SQL quality — covers model selection (Granite vs Llama), dialect tuning, prompt engineering for SQL, SQL validation patterns, feedback loop design, error diagnosis, and metadata-driven accuracy improvement.
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Skill Claude CodeCodex
Use when the user wants to create a UDI flow, ingest documents into OpenSearch, set up a UDI data ingestion pipeline, run UDI document processing, configure UDI embeddings, or manage the UDI (Unstructured Data Integration) lifecycle on IBM Cloud watsonx — including registering COS and OpenSearch connections and…
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Skill Claude CodeCodex
Expert guidance for IBM watsonx.data zero-copy lakehouse configuration — covers Iceberg catalog setup, IBM COS and AWS S3 bucket registration via the watsonx.data REST API v2, Presto engine catalog association, Spark configuration, schema creation, and federated SQL queries. Generates production-ready Python 3.12…
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: