By ddunnock
Develop INCOSE-compliant formal requirements from concept artifacts using block-by-block workflows, AI agents for 25 quality rules (16 deterministic + 9 semantic GtWR v4), bidirectional traceability, verification planning, architecture gap analysis, assumption tracking, performance research, and ReqIF export with validation sweeps.
npx claudepluginhub ddunnock/claude-plugins --plugin requirements-devDecompose baselined blocks into sub-blocks with requirement allocation
Assemble and deliver requirements documents with baselining
Discover coverage gaps in needs and requirements against the concept architecture
Initialize requirements-dev session and ingest concept-dev artifacts
Formalize stakeholder needs per functional block
Main workflow — develop requirements block-by-block with type-guided passes, quality checking, V&V planning, and traceability
Research performance benchmarks and comparable system data for measurable requirements. Launches the tpm-researcher agent with tiered research tools.
Resume an interrupted requirements development session from the last known state, including mid-block and mid-type-pass positions
Display session status dashboard showing current phase, block progress, requirement counts, traceability coverage, TBD/TBR counts, and quality check pass rate
Cross-cutting validation sweep for the requirements set
Generates deliverable documents from JSON registries and Markdown templates
Discovery agent for needs and requirements coverage gaps
Semantic quality checker for requirements using 9 INCOSE GtWR v4 LLM-tier rules
Coverage and feasibility verifier for requirement sets
Research agent for Technical Performance Measures. Searches for performance benchmarks, comparable system data, and published metrics using tiered research tools. Registers sources via source_tracker.py.
Problem-Based Software Requirements Specification methodology for AI-assisted requirements engineering. Provides structured approach to capture Customer Problems (WHY), Customer Needs (WHAT), and Functional Requirements (HOW) with full traceability.
Comprehensive AI-assisted requirements elicitation. Supports stakeholder interviews (LLMREI pattern), document extraction, stakeholder simulation, domain research, gap analysis, user story mapping, customer journey mapping, JTBD analysis, prioritization (MoSCoW/Kano/WSJF), surveys, workshops, brainstorming, and business rules analysis. Exports to canonical, EARS, and Gherkin formats.
PRDs, user stories, acceptance criteria, and technical specifications.
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear or features are complex.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Battle-tested Claude Code plugin for engineering teams — 53 agents, 203 skills, 69 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use
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.
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