By tonone-ai
Audits and optimizes developer onboarding flows for APIs by measuring time-to-first-call, identifying friction points in documentation and credentials, and generating minimal quickstart guides from setup to first successful call.
Audit the developer onboarding experience — measure TTFC and find friction points.
Write a developer quickstart — minimal steps from zero to first successful API call.
Survey existing onboarding docs and developer portal — find gaps and structural issues.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin onboardAudit the developer onboarding experience and measure TTFC
(forwward) Lean agent skills for building, shipping, strategy, and growth — no context bloat.
New developer onboarding documentation generator
Use this agent when you need to design and optimize complex enterprise customer onboarding processes involving multiple stakeholders, change management, and organizational adoption. This agent specializes in enterprise implementation strategy, stakeholder management, change management, and large-scale rollout coordination for B2B platforms. Examples:
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
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.
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".