cyberfabric
Official@cyberfabric
Offers structured artifact validation, SDLC lifecycle management, and automated code review for enterprise software development environments.
Agent Skills by cyberfabric
Showing 12 vetted skills indexed across 3 GitHub repositories.
cyberfabricconnector
Automate Insight Connector lifecycle from creation to deployment.
cyberfabriccypilot-adapter
Scan project structures to create and update Cypilot adapters with AGENTS.md and artifacts.json.
cyberfabriccypilot-pr-status
Generate GitHub Pull Request status reports with severity assessments and resolved comment audits.
cyberfabricmodkit-pr-review
Review Rust pull requests against idiomatic Rust and ModKit rules.
cyberfabriccypilot-pr-review
Reviews GitHub pull requests using LLM-powered analysis and configurable checklists.
cyberfabricmodule-creator
Create and edit ModKit modules with REST endpoints and database entities.
cyberfabriccypilot
Automate structured workflows and artifact validation in AI coding assistants and CI pipelines.
cyberfabricExtract text and structured data from PDF documents using Python libraries.
cyberfabricCypilot Generated Skills
Route artifact-first SDLC workflows across PRD, ADR, DESIGN, DECOMPOSITION, FEATURE, and CODE artifacts.
cyberfabriccypilot-sdlc
Automate SDLC artifact creation, validation, and PR review workflows.
cyberfabriccypilot-generate
Generate and update project artifacts and code implementations through deterministic workflows.
cyberfabriccypilot-analyze
Validate Cypilot artifacts against templates and code against design requirements.
Frequently Asked Questions About cyberfabric
FAQPage SchemaWhat specific development tasks does Cyberfabric enable?▼
Cyberfabric enables structured artifact generation, validation of design requirements against code, automated GitHub pull request status reporting, and the creation of ModKit modules. It facilitates the lifecycle management of Insight Connectors and provides specialized review capabilities for Rust-based codebases against idiomatic standards.
Which engineering personas benefit from these capabilities?▼
Software engineers, DevOps practitioners, and technical leads benefit from these capabilities. The system is designed for teams managing complex SDLC artifacts, those requiring rigorous pull request reviews, and developers building modular REST-based services who need to maintain consistency across design, decomposition, and implementation phases.
What are the primary prerequisites for implementing these modules?▼
Implementation requires a project structure compatible with Cypilot adapters, specifically utilizing artifacts.json and AGENTS.md configuration files. Users must have an existing GitHub environment for pull request integration and a development environment capable of executing Rust-based review rules and PDF data extraction routines.