中兴智算
Official@zte-aicloud · China
Offers a structured framework for spec-driven development, reverse-engineering legacy logic, and rigorous architectural compliance validation for enterprise software systems.
Agent Skills by 中兴智算
Showing 53 vetted skills indexed across 1 GitHub repositories.
ZTE-AIClouddesign-interface
Generate formal interface contracts from architecture documents and entity definitions.
ZTE-AICloudmini-design
Generate structured design documents from natural-language specifications.
ZTE-AIClouddesign
Translate requirements into a structured design plan with templates.
ZTE-AICloudevaluation-rubric
Assess specification outputs with a four-dimension rubric and YAML reports.
ZTE-AICloudmini-implement
Translate design documents into incremental code changes with progress tracking.
ZTE-AICloudspecify-scenario
Generate INSERT/MODIFY/DELETE/REFER scenes from business intent and append to spec.md.
ZTE-AICloudreverse-icenter
Automate iCenter page pulling, architecture linking, and knowledge extraction into omni-doc specs.
ZTE-AICloudtasks
Generate dependency-ordered tasks.md from design documents for feature implementation.
ZTE-AICloudskill-runner
Execute skills and append structured execution metrics to a JSON log.
ZTE-AIClouddesign-entity
Identify and document logical entities with responsibilities and data contracts.
ZTE-AICloudarchive
Parse change directives and propagate them into documentation specification suites.
ZTE-AICloudreverse-deep-logic-architecture
Reverse-engineer deep-logic architecture elements into a standardized Markdown report.
ZTE-AICloude2e-design
Analyze end-to-end test design and generate e2e-impl-design.md reports.
ZTE-AICloudbranch-management
Parse requirement IDs to create or reuse feature branches and directories.
ZTE-AICloude2e-varify
Analyze changes and augment e2e-impl-design.md with proposed test cases.
ZTE-AIClouddesign-function
Analyze business scenarios to generate function entries for IMPL_DESIGN.
ZTE-AICloudcreate-branch
Creates Git/non-Git feature branches and outputs BRANCH_NAME, SPEC_FILE, FEATURE_DIR.
ZTE-AICloudai-friendly-arch-measure
Orchestrate registered metric skills to produce a unified aia_component_summary report.
ZTE-AICloudai-friendly-component-srp-orchestrate
Orchestrate multi-module SRP analysis and gate CI checks on thresholds.
ZTE-AICloudarch-measure
Analyze codebases to generate AI-friendly architecture metrics reports.
ZTE-AICloudclarify
Identifies ambiguities in specs and records clarifying answers back into the file.
ZTE-AICloudmini-design-review
Review DESIGN documents for constitution compliance and function usage.
ZTE-AICloudrunlog-record
Append skill execution metrics to a structured JSON log file.
ZTE-AICloudreverse-external-interfaces
Scan codebase imports to classify and document external dependency interfaces.
Frequently Asked Questions About 中兴智算
FAQPage SchemaWhat specific tasks can I perform using these capabilities?▼
You can formalize business intents into structured specifications, reverse-engineer existing codebases into architecture documentation, generate dependency-ordered implementation tasks, and perform automated quality evaluations against project constitutions and design rubrics.
Which technical personas benefit most from this registry?▼
Software architects, lead developers, and quality assurance engineers focused on maintaining architectural integrity, enforcing strict design-to-code consistency, and managing complex legacy system documentation.
What are the prerequisites for running these modules?▼
These modules require a Git-based repository environment and existing project documentation (spec.md, design.md). They rely on standardized directory structures and specific Markdown-based artifact formats to perform analysis and generate implementation plans.