tercen
Official@tercen
Data Science Analytics Platform
Agent Skills by tercen
Showing 9 vetted skills indexed across 1 GitHub repositories.
tercenbuild-deploy
Automate Tercen Flutter operator builds and GitHub deployments with validation.
tercenphase-3-tercen-integration
Replace mock Tercen data services with real Tercen services in Phase 2 widgets.
tercensetup-project
Create a Tercen Flutter operator project from a skeleton template.
tercenphase-3-review
Analyze Phase 3 Tercen integrations and produce a PASS/FAIL conformance report.
tercenphase-1-functional-spec
Generate a code-free functional specification for Tercen Flutter web widgets.
tercenphase-1-review
Evaluate Phase 1 functional specs against widget-kind rules and generate a PASS/FAIL conformance report.
tercenphase-2-mock-build
Bootstrap a runnable Flutter widget mock from a Phase 1 spec.
tercenrun-phase
Orchestrate build-review-fix cycles across functional spec, mock build, and integration phases.
tercenphase-2-review
Validate Phase 2 mock builds against skeleton templates and functional specs.
Frequently Asked Questions About tercen
FAQPage SchemaWhat specific tasks can be performed using Tercen?▼
Tercen enables the end-to-end lifecycle of Flutter web widgets, including project scaffolding, functional specification generation, mock build creation, and integration with data services. It provides structured validation cycles to ensure components meet defined conformance rules before final deployment.
Which personas benefit most from these capabilities?▼
Front-end developers and data engineers focused on building modular web widgets benefit from these capabilities. The platform is designed for technical teams requiring rigorous validation and standardized project structures when integrating custom components into larger data science analytics environments.
What are the prerequisites for running a Tercen project?▼
Users require a Flutter development environment and access to the Tercen skeleton templates. The process relies on a structured phase-based approach, starting with functional specifications, followed by mock builds, and concluding with integration testing against real data services.