Spec Driven Development Plugin
插件 已验证 活跃Specification Driven Development workflow commands and agents, based on Github Spec Kit and OpenSpec. Uses specialized agents for effective context management and quality review.
To enable consistent and high-quality code generation by providing a structured, agent-driven workflow that automates the process from task specification to implementation.
功能
- Specification Driven Development workflow
- Multi-agent orchestration for complex tasks
- LLM-as-Judge for automated quality verification
- Task refinement, architecture synthesis, and decomposition
- Parallel execution of implementation steps
使用场景
- Developing new features following a structured process
- Ensuring code quality through automated verification
- Breaking down complex tasks into manageable, parallelizable steps
- Generating detailed task specifications and architecture blueprints
非目标
- Replacing direct coding entirely
- Handling tasks without clear specifications
- Providing a generic code generation tool without a structured workflow
工作流
- Add Task: Create draft task file
- Plan Task: Refine task through research, analysis, architecture, decomposition, parallelization, and verification
- Implement Task: Execute refined steps with automated quality checks
实践
- Specification Driven Development
- Agent Orchestration
- LLM-as-Judge Verification
- Test-Driven Development principles
Documentation
- info:Configuration & parameter referenceThe README mentions customization via command parameters but does not detail them or their defaults. Further information is likely in linked customization guides.
安装
请先添加 Marketplace
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install sdd@context-engineering-kit包含 5 个扩展
Skill (5)
creates draft task file in .specs/tasks/draft/ with original user intent
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
Generate ideas in one shot using creative sampling
Implement a task with automated LLM-as-Judge verification for critical steps
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task
质量评分
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