Coopera Code
Official@cooperacode · Brazil
Offers structured documentation synthesis, transforming wiki content into technical specifications, architectural records, entity diagrams, and prioritized project requirements.
Agent Skills by Coopera Code
Showing 8 vetted skills indexed across 1 GitHub repositories.
cooperacodefeature-detail
Generate a detailed feature specification from a Feature work item and wiki context.
cooperacodeadr
Generate MADR-based Architecture Decision Records from active wiki pages.
cooperacodefeature-list
Extract features from the active wiki and generate a prioritized feature-list artifact.
cooperacodeder
Extract entities and relationships from wiki pages into a Mermaid ER diagram.
cooperacodediagram
Generate Mermaid diagrams from wiki content with glossary and sources.
cooperacoderequirements
Extract and structure sourced requirements from wiki pages for work items.
cooperacodebrief
Generates a strategic brief from ingested wiki content for Theme or Initiative items.
cooperacodeuser-story
Decompose wiki feature scopes into user stories with Gherkin acceptance criteria.
Frequently Asked Questions About Coopera Code
FAQPage SchemaWhat specific documentation tasks can Coopera Code perform?▼
Coopera Code enables the generation of detailed feature specifications, strategic briefs for initiatives, and structured requirements from existing wiki content. It also facilitates the creation of Mermaid-based entity relationship diagrams and formal Architecture Decision Records to maintain project history and technical alignment.
Which professional personas benefit most from these capabilities?▼
Technical leads, systems architects, and product owners benefit most from these capabilities. These roles utilize the functionality to maintain documentation consistency, ensure requirements traceability, and communicate complex system designs to stakeholders without manual drafting overhead.
What are the primary prerequisites for using these documentation features?▼
The primary prerequisite is the existence of well-maintained wiki pages or project documentation within the target environment. The system relies on this ingested content to extract entities, relationships, and feature scopes to generate the requested artifacts.