By tonone-ai
Conduct legal research by synthesizing case law, statutes, and regulatory guidance, comparing jurisdictions, and producing risk summaries and draft documents with stage-appropriate advice for startups and solo developers.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub tonone-ai/tonone --plugin citeLegal research — case law, statutes, regulatory guidance
Use this agent when you need legal advisory, compliance documentation, RFP response creation, and enterprise contract support for B2B applications. This agent specializes in legal document creation, regulatory analysis, enterprise procurement compliance, and RFP winning strategies. Transforms complex legal requirements into competitive advantages. Examples:
Every field's professional best practices — your expert consultant in engineering, medicine, law, finance, and more. Anywhere, anytime.
AI-powered contract review, risk analysis, document generation, and compliance auditing with 12 skills and 5 parallel agents
Use this agent when reviewing terms of service, privacy policies, ensuring regulatory compliance, or handling legal requirements. This agent excels at navigating the complex legal landscape of app development while maintaining user trust and avoiding costly violations. Examples:\n\n<example>\nContext: Launching app in European markets
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".