By rioX432
AI-driven development workflow plugin — E2E issue resolution, multi-agent code review, zero-base research orchestration, PR creation, tech debt scanning, and KPI monitoring. Language-agnostic harness engineering with Codex MCP design verification.
Security vulnerability scanner based on OWASP. Use during code review to check for security issues.
Generate unit tests for changed or new code. Use during development to ensure test coverage.
Analyze GitHub repository: code, features, Issues/PRs, external reviews
Supplement Deep Search results with web/SNS research. Collector only — no analysis
Deep dive analysis of a specific case: outcomes, success factors, and reception
Audit codebase for tech debt, code quality, and architecture issues — then create GitHub Issues
Core Value-filtered competitive analysis: research user pain points, identify gaps within Core Value scope, file max 3 high-impact issues
Break a task into ordered subtasks with dependencies
Process issues sequentially: /dev per issue in isolated sub-agent → CI wait → merge → next
Investigate codebase for an issue in a forked context (context isolation)
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Modifies files
Hook triggers on file write and edit operations
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Claude Code plugin for AI-driven development workflows. Language-agnostic harness engineering — autonomous issue resolution, Codex-assisted technical design, context-isolated investigation, multi-agent code review, and structured review gating.
Core philosophy: depth over breadth. Every feature proposal is filtered through project-defined Core Values and a one-step distance test. The system is designed to prevent feature bloat by enforcing "what NOT to build" as a first-class concept.
v3.0 highlights:
/dev, /dig, /decompose (optional, with fallback)/dev-investigate runs in a forked context, keeping investigation token costs out of the main session/dev-all validates review.json artifacts before auto-merge (Critical → skip, Warning → user confirmation)# Register marketplace
/plugin marketplace add rioX432/ai-dev-templates
# Install
/plugin install ai-dev@ai-dev-templates
# Initialize a new project with templates
/ai-dev:init-project /path/to/project
# Or sync updates to existing projects
/ai-dev:sync
Common skills/agents/rules are copied to .claude/skills/, .claude/agents/, .claude/rules/ so all team members can use them without installing the plugin.
When this repo is pushed, GitHub Actions automatically creates PRs to sync common files to configured projects. See .github/workflows/sync-to-projects.yml.
| Skill | Description |
|---|---|
/ai-dev:dev {issue} | E2E: investigate (forked) → Codex design → dig → decompose → implement → test → review → PR |
/ai-dev:dev-all [issues] | Autonomous issue processing: /dev per issue via /goal → review validation → conditional merge |
/ai-dev:dev-investigate | Context-isolated codebase investigation (runs with context: fork) |
/ai-dev:review | Multi-agent parallel code review (Bug/Security + Architecture/Quality) |
/ai-dev:pr | PR creation using project template with issue linking |
/ai-dev:dig | Structured ambiguity resolution with auto-decide rules + Codex design review |
/ai-dev:decompose | Task decomposition into ordered subtasks + Codex architecture validation |
/ai-dev:audit [scope] | Codebase health + visual bug audit with parallel scanners → GitHub Issues |
/ai-dev:competitive-audit [focus] | Core Value-filtered competitive analysis: user pain points → max 3 issues + Won't Do recording |
/ai-dev:ux-audit [target] | UI/UX comprehensive audit: heuristics, accessibility, visual, platform guidelines → GitHub Issues |
/ai-dev:tech-debt | Technical debt scan → GitHub Issues for high-severity findings |
/ai-dev:monitor | KPI monitoring: crash rates, reviews, metrics → priorities (PoC) |
/ai-dev:update-docs [scope] | Documentation audit & update (architecture, changelog, readme, oss) |
/ai-dev:sync | Sync common files to target projects |
/ai-dev:think <topic> [repo] | Zero-base deep research: structured investigation → synthesis → proposal with counter-arguments |
/ai-dev:init-project {path} | Initialize a project with templates (includes Core Values + Won't Do sections) |
| Agent | Model | Constraints | Role |
|---|---|---|---|
security-reviewer | sonnet | maxTurns: 20, read-only | OWASP vulnerability scanner |
test-writer | sonnet | maxTurns: 30 | Unit test generation |
ui-reviewer | sonnet | maxTurns: 20, read-only | UI/UX quality reviewer (accessibility, platform guidelines, design personality) |
perf-reviewer | sonnet | maxTurns: 20, read-only | Compose/CMP performance reviewer (recomposition, lazy layout, main thread, memory) |
repo-analyzer | sonnet | maxTurns: 30 | GitHub repo feature/Issue/PR analysis (for /think) |
deep-researcher | sonnet | maxTurns: 20 | Web/SNS supplemental research (collector only) |
case-analyzer | sonnet | maxTurns: 20 | Individual case deep dive analysis |
social-scanner | sonnet | maxTurns: 20 | X/Reddit/HN/community sentiment scan |
source-verifier | sonnet | maxTurns: 30 | URL existence + claim consistency check |
counter-argument | sonnet | maxTurns: 15 | Proposal stress-test: counter-arguments, risks |
npx claudepluginhub riox432/ai-dev-templates --plugin ai-devAI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
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