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International Business Machines

Official

@ibm · United States of America

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3,928Public Repos
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24Published Skills

Open Source @ IBM

Skills Distribution
DomainCloud & Comp...Data Integration &.. (40%)Infrastructure Orc.. (30%)Functional Program.. (30%)

Agent Skills by International Business Machines

Showing 24 vetted skills indexed across 5 GitHub repositories.

IBMIBM
2.0k

fp-go-pr-review

Reviews pull requests for fp-go v2 code against functional programming conventions and best practices.

Official
Advanced
IBMIBM
2.0k

fp-go-http

Builds and executes composable HTTP requests in Go using the fp-go ReaderIOResult monad.

Official
Intermediate
IBMIBM
2.0k

fp-go

Generates and reviews Go code using the fp-go v2 functional programming library.

Official
Advanced
IBMIBM
2.0k

fp-go-mcp

Configure and use the fp-go MCP server to query skills and Go code examples.

Official
Intermediate
IBMIBM
2.0k

fp-go-pipe-flow

Guides writing and refactoring fp-go v2 code using Pipe, Flow, reader monad, and do-notation patterns.

Official
Intermediate
IBMIBM
16

smith

Automate OPA policy creation, testing, and iterative refinement for AI code agents.

Official
Advanced
IBMIBM

di-agent-query-sql

Generate SQL from natural language requests with Substrait-first planning.

Official
Advanced
IBMIBM

di-agent-flow-datastage

Edit existing IBM watsonx.data DataStage batch flows via SDK code.

Official
Advanced
IBMIBM

di-agent-flow-pyflow

Generate IBM watsonx.data integration flows from natural-language requirements using pyflow.

Official
Advanced
IBMIBM

di-agent-flow-substrait-datastage

Generate a DataStage flow and Python SDK script from a Substrait plan.

Official
Advanced
IBMIBM

di-agent-query-optimization

Rewrite Substrait plans into compact full-pushdown SQL for DataStage execution.

Official
Advanced
IBMIBM

di-agent-knowledge-engine-datastage

Explain DataStage parallel engine concepts, stage semantics, and optimization guidance.

Official
Advanced
IBMIBM

di-agent-knowledge-engine-streamsets

Manage StreamSets Data Collector engine deployment and job operations for IBM watsonx.data.

Official
Advanced
IBMIBM

di-agent-bug-report

Create Markdown bug reports for IBM watsonx.data integration sessions.

Official
Advanced
IBMIBM

di-agent-query-substrait

Generate Substrait query plans from natural language data requests.

Official
Advanced
IBMIBM
173

customercare-mcp-builder

Build MCP servers for customer care with per-customer tool registration.

Official
Advanced
IBMIBM
173

sop-builder

Translate BPMN, Langflow JSON, or n8n workflows into business-friendly SOP documents.

Official
Intermediate
IBMIBM
173

wxo-builder

Generate watsonx Orchestrate agents, flows, and tools from SOPs or prompts.

Official
Advanced
IBMIBM
2.0k

fp-go HTTP Requests

Build and execute composable HTTP requests in Go with fp-go.

Official
Intermediate
IBMIBM
2.0k

fp-go Logging

Log intermediate values and errors in Go functional pipelines with slog.

Official
Intermediate
IBMIBM
2.0k

fp-go Monadic Operations

Compose type-safe monadic operations like Option, Either, and Result in Go.

Official
Advanced
IBMIBM
35

pipeline

Generate a Tekton Pipeline orchestrating build and security tasks with workspaces.

Official
Intermediate
IBMIBM
35

security

Automate container image vulnerability scanning in Tekton pipelines using Trivy.

Official
Intermediate
IBMIBM
35

secrets

Generate Kubernetes docker-registry Secrets and ServiceAccounts for container registry authentication.

Official
Intermediate

Frequently Asked Questions About International Business Machines

FAQPage Schema
What specific data engineering tasks are supported?

These capabilities enable the generation of DataStage batch flows, Substrait query plans, and SQL optimization for data integration. You can manage StreamSets deployments, explain parallel engine semantics, and generate structured bug reports for integration sessions.

Which engineering personas benefit from these resources?

Data engineers, DevOps practitioners, and Go developers benefit from these resources. They are designed for professionals managing complex data pipelines, containerized infrastructure, and those requiring functional programming primitives for robust, type-safe request handling.

What are the prerequisites for implementing these integration flows?

Implementation requires an existing environment configured for IBM watsonx.data, Tekton for pipeline management, and familiarity with Substrait for query plan interoperability. Specific components like DataStage or StreamSets must be provisioned within your infrastructure to utilize the corresponding generation and management capabilities.