way-platform
Official@way-platform · Finland
Powering Smarter Fleets
Agent Skills by way-platform
Showing 13 vetted skills indexed across 2 GitHub repositories.
way-platformprd
Generate structured PRDs from feature prompts and save them to markdown files.
way-platformclerk
Implement username/password authentication against Clerk's Frontend API for iLEAP adapters.
way-platformprotobuf
Manage Protocol Buffers workflows with Buf linting, validation, and code generation.
way-platformway-go-style
Guide Go code writing with idiomatic and standard conventions.
way-platformterraform-gcp
Review and refactor Terraform HCL for Google Cloud Platform resources.
way-platformbeam-dataflow-python
Guide Apache Beam Python pipeline development for Google Cloud Dataflow.
way-platformaep
Access API Enhancement Proposals documentation for API design standards.
way-platformway-brand-identity
Enforce Way brand guidelines for tone, typography, and color palettes.
way-platformway-magefile
Automate Go project builds and tasks using Mage build tool.
way-platformileap
Automate logistics emissions data exchange per the iLEAP Technical Specifications.
way-platformspacelift-terraform
Manage Spacelift stacks, contexts, policies, and worker pools via Terraform GitOps workflows.
way-platformskill-creator
Guide users through creating and structuring AI skills with SKILL.md and bundled resources.
way-platformagents-md
Generate and maintain standardized AGENTS.md documentation with headers, bullets, and SKILL.md references.
Frequently Asked Questions About way-platform
FAQPage SchemaWhat specific logistics tasks does way-platform enable?▼
The platform enables the exchange of logistics emissions data by adhering to iLEAP technical specifications. It ensures data interoperability across fleet management systems, allowing organizations to report and track carbon output metrics consistently within their existing logistics data pipelines.
Which engineering personas benefit from these capabilities?▼
Platform engineers, DevOps practitioners, and logistics data analysts benefit from these capabilities. The platform provides structured guidance for infrastructure provisioning, Go-based build management, and the maintenance of standardized technical documentation for complex distributed systems.
What are the prerequisites for implementing these infrastructure configurations?▼
Implementation requires existing access to Google Cloud Platform and Spacelift environments. Users must have foundational knowledge of Terraform HCL for resource management and Protocol Buffers for data serialization, alongside familiarity with Go-based build conventions for project execution.