Langflow
Official@langflow-ai
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Agent Skills by Langflow
Showing 12 vetted skills indexed across 2 GitHub repositories.
langflow-aifrontend-i18n
Add and review user-facing strings in the Langflow frontend using i18next.
langflow-aifrontend-testing
Generate Jest and React Testing Library tests for Langflow React components, hooks, and utilities.
langflow-aiibm-a11y-pr-remediation
Scan and remediate IBM Equal Access Level 1 accessibility violations in PR frontend changes.
langflow-aiibm-a11y-level1-audit
Audit Langflow frontend surfaces against IBM Equal Access Level 1 criteria and produce a findings report.
langflow-aiibm-a11y-testing-guide
Guide writing Langflow frontend accessibility tests with axe and IBM Equal Access.
langflow-aiopenrag_install
Plan and execute a minimal OpenRAG installation in local environments.
langflow-aiopenrag_sdk
Guide OpenRAG SDK integration across Python, TypeScript, FastAPI, Express, and React.
langflow-aibackend-code-review
Audits Python backend code for quality, security, and maintainability.
langflow-aifrontend-query-mutation
Automate frontend API hook creation with TypeScript types and UseRequestProcessor.
langflow-aifrontend-code-review
Reviews React/TypeScript frontend code in Langflow's src/frontend for quality, performance, and correctness issues.
langflow-aicomponent-refactoring
Refactor high-complexity Langflow React components into modular units.
langflow-aie2e-testing
Automates Playwright-based end-to-end testing for the Langflow UI.
Frequently Asked Questions About Langflow
FAQPage SchemaWhat specific engineering tasks does Langflow support?▼
Langflow supports backend code auditing for security and maintainability, React component refactoring, TypeScript query hook generation, and Playwright-based interface testing. Additionally, it provides guidance for local OpenRAG environment deployment and cross-language integration across FastAPI and Express frameworks.
Which technical personas benefit from these capabilities?▼
These capabilities are designed for frontend engineers managing React and TypeScript codebases, quality assurance engineers focused on Playwright-based interface validation, and backend developers responsible for maintaining FastAPI or Express services and integrating OpenRAG architectures.
What are the prerequisites for implementing these technical capabilities?▼
Implementation requires an existing React and TypeScript environment for frontend tasks, and a FastAPI or Express foundation for backend and OpenRAG integration. Users must have Playwright configured for interface testing and maintain access to the source repository for code auditing and component refactoring.