gridi.ai
Official@gridi-ai · Korea, South
Offers end-to-end software development lifecycle orchestration, converting design specifications and requirements into production-ready frontend and backend implementations.
Agent Skills by gridi.ai
Showing 16 vetted skills indexed across 1 GitHub repositories.
gridi-aife-main
Convert design specs, Figma designs, and OpenAPI specs into frontend code.
gridi-aiuser-story-generator
Generate Markdown user stories with hierarchical IDs from backlog items and codebase context.
gridi-aiqa-visual-tester
Generate QA sheets and visual verification reports with Playwright MCP.
gridi-aiwireframer
Generate per-screen ASCII wireframes and Mermaid flowcharts from user stories.
gridi-aibe-main
Generate backend API implementations from test suites and OpenAPI specifications.
gridi-aitech-lead
Translate user stories and wireframes into tech specs with architecture and API design.
gridi-aife-lead
Identify and report high-severity frontend issues during code reviews.
gridi-aiworkflow-orchestrator
Coordinate agent skills to move a backlog from planning through deployment.
gridi-aibe-lead
Analyze backend code changes for high-severity bugs and security issues.
gridi-aibe-spec
Generate OpenAPI 3.0 specifications from tech specs for REST APIs.
gridi-aiproject-init
Detect tech stacks and generate crew-config.json for project initialization.
gridi-aiqa-e2e
Generate and execute Playwright E2E tests from user scenarios.
gridi-aiqa-tc
Generate Given-When-Then test cases from tech specs and user stories.
gridi-aibe-test
Generate backend unit and integration tests from test-case documents and API specs.
gridi-aibacklog-decomposer
Decompose broad implementation requests into prioritized backlog items with service context.
gridi-aiproduct-designer
Generate design-spec.md files and Figma designs from user stories and wireframes.
Frequently Asked Questions About gridi.ai
FAQPage SchemaWhat specific development tasks does Gridi.ai enable?▼
Gridi.ai enables the conversion of design files and OpenAPI specifications into frontend and backend codebases. It facilitates the generation of technical documentation, including user stories, architecture specs, and Mermaid flowcharts, while simultaneously creating and executing end-to-end test suites and visual verification reports to ensure code quality.
Which engineering personas benefit from these capabilities?▼
Full-stack developers, technical leads, and product managers benefit from these capabilities. The platform assists leads in architecture design and security reviews, while enabling developers to accelerate implementation by generating boilerplate code, unit tests, and integration tests directly from established technical specifications and backlog items.
What are the prerequisites for initializing a project?▼
To initialize a project, users must provide existing design specifications, such as Figma files, or OpenAPI definitions. The system detects the underlying tech stack and generates a crew-config.json file to coordinate the various modules required to move a backlog from initial planning through to final deployment.