Build a throwaway spike to validate requirements. Demonstrates core user flows with minimal code — no architecture, no tests, no production concerns.
원문 언어: 영어
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SkillsMP는 aws-samples/sample-aidlc-decisions-driven-skill에서 13개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 13개 중 13개를 표시합니다.
Build a throwaway spike to validate requirements. Demonstrates core user flows with minimal code — no architecture, no tests, no production concerns.
원문 언어: 영어
CI/CD pipeline generation and deployment configuration. Produces pipeline configs, environment definitions, and deployment scripts for the target platform.
원문 언어: 영어
Final integration build and test verification. Validates that implemented code compiles, passes all test suites, and meets quality gates before deployment.
원문 언어: 영어
Code generation and testing. Execute implementation tasks from design specs using standard, parallel, or autonomous modes.
원문 언어: 영어
Review implemented code against design specs, coding standards, and best practices. Produces severity-classified findings with suggested fixes.
원문 언어: 영어
Decompose requirements into units of work with DDD concepts. Define system boundaries, dependencies, and development sequence.
원문 언어: 영어
Technology decisions and architecture design. Generates D3 decision gate, validates choices, produces modular or compact design documents with components, data model, API spec, integration, implementation, correctness, and NFR specifications.
원문 언어: 영어
Translate business needs into user stories with EARS acceptance criteria. Generates decision gate, personas, and requirements. Includes routing recommendation for next phase.
원문 언어: 영어
AI-DLC workflow orchestrator. Reads manifest state, dispatches to phase skills, manages rollback and status. Executes phases by loading and following each skill's SKILL.md.
원문 언어: 영어
Bridge design to implementation. Break design documents into concrete, sequenced, estimable tasks with execution waves for parallel dispatch.
원문 언어: 영어
Scan workspace, assess project landscape, and generate context document, blueprints, and platform shim. First phase of the AI-DLC specification workflow.
원문 언어: 영어
Deep brownfield codebase analysis. Extracts architecture, modules, data models, API surface, business rules, features, integrations, conventions, and technical debt.
원문 언어: 영어
Cross-unit design review. Compares design documents across multiple units or modules for conflicts, inconsistencies, and alignment issues. Produces a severity-classified review report with resolution recommendations.
원문 언어: 영어