Taniwha AI
Official@taniwhaai · New Zealand
Offers structural engineering frameworks for modular software architecture, contract-based implementation, and automated verification of complex system builds.
Agent Skills by Taniwha AI
Showing 7 vetted skills indexed across 1 GitHub repositories.
design-doc
Generate a structural design document defining module boundaries and contracts.
dispatcher
Orchestrate Taniwha builds with Python libraries and subagent coordination.
composition
Wire two child modules into a unit satisfying a parent contract.
verifier
Verify code implementations against specified contracts and acceptance criteria.
leaf-implementation
Implement a single module against a contract manifest with strict adherence.
orchestrator
Manage Taniwha project state and decide the next build action.
contract-derivation
Derive per-module contracts from structured design documents.
Frequently Asked Questions About Taniwha AI
FAQPage SchemaWhat specific tasks can be performed using Taniwha AI?▼
Taniwha AI enables the generation of structural design documents, derivation of module-level contracts, and the systematic implementation of code units. It further provides verification capabilities to ensure that all developed modules strictly adhere to the defined architectural contracts and acceptance criteria.
Which personas benefit most from Taniwha AI?▼
Software architects, lead developers, and systems engineers benefit from these capabilities. The platform is designed for technical teams managing complex, multi-module projects who require rigorous enforcement of interface contracts and structural boundaries throughout the development lifecycle.
What are the prerequisites for using Taniwha AI?▼
Users require a structured design document or a high-level project specification to initiate the contract derivation process. The system relies on these foundational documents to manage project state, orchestrate build actions, and verify that subsequent module implementations satisfy the parent contract requirements.