ImaginerLabs
Official@imaginerlabs
Offers modular engineering frameworks for software architecture, quality assurance, and technical documentation through structured, machine-readable development processes.
Agent Skills by ImaginerLabs
Showing 113 vetted skills indexed across 1 GitHub repositories.
ImaginerLabsbmad-editorial-review-structure
Propose structural edits to reduce redundancy and improve document flow.
ImaginerLabsui-ux-pro-max
Generate scalable design system recommendations for multi-domain web and mobile UI projects.
ImaginerLabsbmad-cis-agent-storyteller
Craft bard-style narratives using proven storytelling frameworks.
ImaginerLabsbmad-cis-innovation-strategy
Identify disruption opportunities and architect business model innovation.
ImaginerLabsbmad-bmb-setup
Install and configure a BMad module with config files and metadata.
ImaginerLabsbmad-technical-research
Conduct technical research with live web search and produce cited Markdown reports.
ImaginerLabsbmad-help
Clarify user position and next steps in BMad workflows using module documentation.
ImaginerLabsbmad-retrospective
Facilitate post-epic retrospectives to extract lessons and generate actionable items.
ImaginerLabsbmad-create-story
Generate structured dev-story Markdown files with guardrails and references.
ImaginerLabsbmad-agent-builder
Build, edit, and analyze AI agent skills with conversational discovery and scaffolding.
ImaginerLabsbmad-testarch-atdd
Generate skipped RED-phase API and E2E tests with an ATDD checklist.
ImaginerLabsbmad-cis-design-thinking
Facilitate seven-step design thinking workshops with templated artifacts.
ImaginerLabsbmad-tea
Provide risk-based testing guidance and QA architecture recommendations for software projects.
ImaginerLabsbmad-product-brief
Create or update executive product briefs from brainstorming notes and documents.
ImaginerLabsbmad-testarch-trace
Generate a requirements-to-tests traceability matrix with gate decisions.
ImaginerLabsbmad-module-builder
Plan, scaffold, and validate BMad modules from module.yaml and module-help.csv.
ImaginerLabsbmad-teach-me-testing
Teach testing through a multi-session curriculum with persistent YAML progress files.
ImaginerLabsbmad-testarch-test-review
Evaluate test quality against TEA knowledge and generate a 0–100 score.
ImaginerLabsbmad-testarch-ci
Generate platform-specific CI/CD pipelines with parallel sharding and burn-in loops.
ImaginerLabsbmad-agent-pm
Facilitate PRD creation and requirements discovery through guided stakeholder interviews.
ImaginerLabsbmad-domain-research
Coordinate multi-step domain research workflows and generate cited reports.
ImaginerLabsbmad-quick-dev
Generate spec files and workflow artifacts from developer intent.
ImaginerLabsbmad-qa-generate-e2e-tests
Generate end-to-end and API tests aligned to detected project test frameworks.
ImaginerLabsbmad-agent-tech-writer
Translate complex concepts into CommonMark, DITA, OpenAPI, and Mermaid documentation.
Frequently Asked Questions About ImaginerLabs
FAQPage SchemaWhat specific engineering tasks can I perform using these modules?▼
You can execute end-to-end test generation, perform adversarial code reviews, design system architectures, and create structured technical documentation. The modules support requirements-to-test traceability, React component refactoring, and the creation of machine-readable implementation plans for complex software projects.
Which technical personas benefit most from these capabilities?▼
Software architects, quality assurance engineers, and frontend developers gain the most value. These modules provide structured support for technical leads managing brownfield projects, developers needing to enforce consistent documentation standards, and QA engineers focused on risk-based testing and performance optimization.
What are the prerequisites for integrating these modules into a project?▼
Integration requires a project environment capable of processing Markdown-based configuration files and standard web development stacks. Most modules rely on local project context, such as existing source code, requirement documents, or configuration files, to generate accurate, context-aware outputs.