Elicit comprehensive software requirements through AI-powered workflows: conduct or simulate stakeholder interviews, extract from documents/transcripts, perform domain research, detect gaps, prioritize via MoSCoW/Kano/WSJF, map user stories/journeys, analyze JTBD/business rules, run surveys/workshops, and export to YAML/Gherkin/EARS formats.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
PROACTIVELY use. Extract requirements from documents including PDFs, specifications, meeting transcripts, and web content. Uses pattern matching and NLP to identify requirement candidates.
PROACTIVELY use. Analyze requirements for completeness using domain checklists, NFR categories, and INVEST criteria. Identifies missing requirements and recommends elicitation techniques to fill gaps.
PROACTIVELY use when creating customer journey maps from elicited requirements. Analyzes synthesis data, interview transcripts, and stakeholder perspectives to generate comprehensive journey visualizations with emotional curves, pain points, and opportunities. Outputs Mermaid diagrams.
PROACTIVELY use when assessing requirement quality. Evaluates requirements against 6Cs criteria (Clear, Concise, Complete, Consistent, Correct, Confirmable) and INVEST principles. Returns quality scores with improvement recommendations.
PROACTIVELY use. AI-led requirements elicitation interviewer using LLMREI research-backed patterns. Conducts structured stakeholder interviews with context-adaptive questioning.
Analyze meeting transcripts to extract requirements, decisions, and action items. Specialized extraction for conversational content.
Facilitate AI-assisted brainstorming sessions for requirements discovery. Uses divergent-convergent thinking patterns to generate ideas, then filters and refines them. Supports multiple brainstorming techniques.
Business rules elicitation and analysis techniques. Covers rule types (constraints, derivations, inferences), decision tables, rule templates, and policy documentation. Use when identifying business policies, constraints, calculations, and decision logic during requirements elicitation.
Main orchestrator for full requirements elicitation workflow. Coordinates interviews, document extraction, simulation, research, and synthesis.
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
Uses power tools
Uses Bash, Write, or Edit tools
Plugins for Claude Code: documentation management, code quality, and ecosystem support.
fnm (Fast Node Manager) is the recommended Node.js version manager for this project. It:
Install fnm:
# Windows (PowerShell as Admin)
winget install Schniz.fnm
# macOS/Linux
curl -fsSL https://fnm.vercel.app/install | bash
Configure for Git Bash (add to ~/.bashrc):
eval "$(fnm env --use-on-cd --shell bash)"
Or source the setup script which includes fnm initialization:
source "/path/to/claude-code-plugins/setup/bashrc-claude.sh"
Install Node:
fnm install 24
fnm default 24
npm install
npm run lint:md # Check for errors
npm run lint:md:fix # Auto-fix errors
Markdown linting runs automatically on PRs via GitHub Actions. The same rules apply locally and in CI.
/plugin install claude-ecosystem@claude-code-plugins
/plugin install code-quality@claude-code-plugins
/plugin install google-ecosystem@claude-code-plugins
This repo expects Codex CLI configuration to live in user scope under ~/.codex.
See .codex/README.md for the canonical locations.
| Plugin | Purpose |
|---|---|
| atlassian | Atlassian MCP server: Jira, Confluence, Compass integration |
| browser-automation | Browser automation MCP servers: Chrome DevTools, Playwright |
| business-analysis | BABOK techniques: capability mapping, stakeholder analysis, value streams, journey mapping |
| ci-cd | CI/CD pipelines: GitHub Actions, deployment automation, release management |
| claude-code-observability | Event logging, metrics, session diagnostics |
| claude-ecosystem | Claude Code docs, meta-skills, hooks, observability, auditors |
| code-quality | Code review, markdown linting, debugging, CI/CD templates |
| compliance-planning | Regulatory compliance: GDPR, HIPAA, PCI-DSS, AI governance, ISO 27001 |
| content-management-system | Headless CMS architecture: content modeling, taxonomies, media, theming |
| cursor-ecosystem | Cursor IDE docs, CLI, agent, keyword-based search |
| documentation-standards | Technical docs: arc42, C4 model, ADRs, RFC process, docs-as-code |
| dotnet | .NET 10+ automation: build, clean, SDK/tool install, version upgrades, Aspire MCP |
| duende-ecosystem | Duende IdentityServer, BFF, IdentityModel docs |
| enterprise-architecture | TOGAF, Zachman, ADRs, cloud alignment |
| event-modeling | Event-driven design: Event Modeling, Event Storming, CQRS, sagas |
| figma | Figma MCP server: design context, code generation, design tokens |
| formal-specification | Formal methods: UML/SysML, TLA+, OpenAPI/AsyncAPI, state machines |
| git | Git config, GPG signing, hooks, GitHub issues, history exploration |
| google-ecosystem | Gemini CLI docs, Claude-to-Gemini integration, configuration management |
| melodic-software | Developer onboarding, environment setup, commit workflows |
| microsoft | Microsoft MCP servers: Microsoft Learn, Azure, NuGet, Azure DevOps |
| milan-jovanovic | Milan Jovanovic .NET patterns: Clean Architecture, DDD, CQRS, EF Core |
| openai-ecosystem | OpenAI Codex CLI docs |
| requirements-elicitation | Requirements gathering: LLMREI interviews, gap analysis, prioritization |
| research | Research workflows: MCP integration, multi-source synthesis, structured output |
| response-quality | Response quality standards, source citations |
| security | Security: OWASP, authentication, cryptography, DevSecOps, threat modeling, 12 skills |
| soft-skills | Career progression, interviews, communication, professional visibility |
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