claude

sdd

Specification Driven Development workflow commands and agents, based on Github Spec Kit and OpenSpec. Uses specialized agents for effective context management and quality review.

1,821 on GitHubby Vlad Goncharovv3.6.0GPL-3.0updated 2 months agodevelopment
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Plugin sdd from marketplace context-engineering-kit in NeoLabHQ/context-engineering-kit. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (5)

  • add-task

    creates draft task file in .specs/tasks/draft/ with original user intent

  • brainstorm

    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

  • create-ideas

    Generate ideas in one shot using creative sampling

  • implement-task

    Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

  • plan-task

    Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases

Subagents (8)

  • business-analyst

    Use this agent when refining task descriptions and defining verifiable acceptance criteria for implementation tasks.

  • code-explorer

    Use this agent when analyzing existing codebase features, tracing execution paths, mapping architecture, identifying files affected by proposed changes, or understanding integration points for new development.

  • code-reviewer

    Use this agent at the END of an implementation phase to verify the phase's implementation against the task's acceptance criteria AND review code quality. Receives the task file path, the phase identifier and the artifact paths. Applies the phase's slice of the task's rubric/checklist, the built-in c

  • developer

    Use this agent when implementing a single step of a task. Receives the task file path AND that step's sub-task file path. Executes code changes following the sub-task's success criteria and the task's acceptance criteria, leveraging existing codebase patterns to deliver production-ready code that pa

  • researcher

    Use this agent when researching unknown technologies, libraries, frameworks, and dependencies to gather relevant resources and documentation for implementation tasks. Creates reusable skills that all agents can leverage.

  • software-architect

    Use this agent when synthesizing research findings, codebase analysis, and business requirements into architectural solutions for task specifications.

  • tech-lead

    Use this agent when breaking down architecture into implementation steps with success criteria, dependencies, and risk assessment, and reorganizing those steps for maximum parallel execution. Transforms architectural blueprints into executable, parallelized task sequences written as per-step sub-tas

  • tech-writer

    Creates and maintains comprehensive, accessible technical documentation by transforming complex concepts into clear, structured content that helps users accomplish their tasks

View source on GitHub neolab.gitbook.io

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