Spec-driven development methodology for Claude Code. Provides agents, commands, and skills for requirements engineering (EARS format), design documentation, task breakdown, AI prompting strategies, quality assurance, and troubleshooting.
npx claudepluginhub softwarecatscom/scc-marketplace --plugin kiroRun the full kiro spec-driven lifecycle for a feature with quality gates, audit trail, and automatic implementation mode selection.
Critical review of kiro spec artifacts against codebase and quality standards
Create comprehensive technical design for a specification
Execute spec tasks using TDD methodology
Initialize a new specification with detailed project description
Quick spec generation with interactive or automatic mode
Generate comprehensive requirements for a specification
Show specification status and progress
Generate implementation tasks for a specification
Create custom steering documents for specialized project contexts
Manage .kiro/steering/ as persistent project knowledge
Interactive technical design quality review and validation
Analyze implementation gap between requirements and existing codebase
- Feature name: `$1` (optional)
Generate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process
Execute implementation tasks using Test-Driven Development methodology
Generate EARS-format requirements based on project description and steering context
Generate implementation tasks from requirements and design
Create custom steering documents for specialized project contexts
Maintain .kiro/steering/ as persistent project memory (bootstrap/sync)
Interactive technical design quality review and validation
Analyze implementation gap between requirements and existing codebase
Validate implementation against requirements, design, and tasks
Diagnose and resolve common issues during spec-driven development and implementation. Learn strategies for handling spec-reality divergence, dependency blocks, unclear requirements, and other execution challenges.
Effective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.
Create comprehensive steering documents for development projects. Generates project-specific standards, git workflows, and technology guidelines in .kiro/steering/ directory.
Transform approved requirements into comprehensive technical designs. Define system architecture, component interactions, data models, and interfaces to create a blueprint for implementation.
Use when running a feature through the full kiro spec-driven lifecycle. Orchestrates init, requirements, design, tasks, and implementation with quality gates, audit trail, and reviewer integration.
Comprehensive testing and validation strategies for spec-driven development. Learn phase-specific validation techniques, quality gates, and testing approaches to ensure high-quality implementation.
Transform vague feature ideas into clear, testable requirements using EARS format. Capture user stories, define acceptance criteria, identify edge cases, and validate completeness before moving to design.
Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.
Substantive critical review of kiro spec artifacts (requirements, design, tasks) against the actual codebase and quality standards. Produces GO/NO-GO verdicts with specific, actionable issues.
Convert technical designs into actionable, sequenced implementation tasks. Create clear coding tasks that enable incremental progress, respect dependencies, and provide a roadmap for systematic feature development.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.