npx claudepluginhub arcblock/idd --plugin iddThese agents are **deprecated** as of 2026-01. Their capabilities have been absorbed into the plan.md format.
Project-level Intent health check. Use for periodic audits, onboarding, or before major releases. Reports coverage, freshness, approval status, dependency consistency, and boundary violations.
Checks code implementation consistency with Intent. Use after development completion or during PR review. Compares API signatures, data structures, behaviors, and boundary rules.
Validates Intent files against IDD standards. Use after Intent modification or before /intent-review. Checks structure completeness, hierarchy correctness, format compliance, and section markup.
Assess if IDD fits your project and learn about Intent-Driven Development. Use /intent-assess to evaluate project suitability or /intent-assess --learn for IDD education.
Start implementation from Intent. Validates Intent completeness, then either delegates to TaskSwarm (if available) or executes TDD phases directly. Use when you have an Intent ready and want to start building.
Manage structured change proposals for design documents with PR-like review experience. Use /intent-changes start <file> to begin, /intent-changes propose to suggest changes, /intent-changes accept/reject to decide, /intent-changes finalize to apply.
Run Intent validation and sync checks. Triggers intent-validate and intent-sync agents. Use /intent-check for full check, or /intent-check --validate/--sync for specific checks.
Critical review of Intent design quality. Checks for over-engineering, YAGNI violations, premature abstraction, and simplification opportunities. Uses interactive discussion to refine design decisions.
Initialize IDD structure in a project. Checks existing state, creates directory structure, and generates templates. Use /intent-init to set up Intent-driven development in current project.
Transform vague ideas into implementation-ready specifications through structured interviewing. Use when user describes a new feature/product idea, has a problem to solve, or needs to document requirements. Two-phase process: Phase A produces decisions.md, Phase B composes INTENT.md under budget constraints.
Scan and normalize existing intent/planning files to IDD standard. Auto-fixes mechanical issues (frontmatter, directory structure), tags content issues for pickup. Use /intent-normalize to scan current project, or /intent-normalize <path> for specific directory.
Transform approved Intent into executable phased plan with strict TDD. Each step requires tests first (happy/bad/edge/security cases), then implementation. Use after /intent-review when ready to start development.
Generate human-readable report from Intent files. Converts technical Intent specs into readable documents for stakeholders, team members, or documentation. Supports multiple output formats.
Interactive Intent approval. Review sections and mark status (locked/reviewed/draft). Use /intent-review <path> to review a specific file, or /intent-review to review Intent in current directory.
Share your IDD adoption story. Through structured interviewing, create blog posts about Intent-Driven Development experiences, lessons learned, and best practices. Supports multiple languages and formats.
After implementation is complete and tests pass, sync confirmed details back to Intent. Captures finalized interfaces, data structures, naming conventions, and architecture decisions. Use after development is done and user confirms the implementation.
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.
Uses power tools
Uses Bash, Write, or Edit tools
Use this agent when you need expert assistance with React Native development tasks including code analysis, component creation, debugging, performance optimization, or architectural decisions. Examples: <example>Context: User is working on a React Native app and needs help with a navigation issue. user: 'My stack navigator isn't working properly when I try to navigate between screens' assistant: 'Let me use the react-native-dev agent to analyze your navigation setup and provide a solution' <commentary>Since this is a React Native specific issue, use the react-native-dev agent to provide expert guidance on navigation problems.</commentary></example> <example>Context: User wants to create a new component that follows the existing app structure. user: 'I need to create a custom button component that matches our app's design system' assistant: 'I'll use the react-native-dev agent to create a button component that aligns with your existing codebase structure and design patterns' <commentary>The user needs React Native component development that should follow existing patterns, so use the react-native-dev agent.</commentary></example>
Team-oriented workflow plugin with role agents, 27 specialist agents, ECC-inspired commands, layered rules, and hooks skeleton.
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.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research