By tonone-ai
Surveys API or SDK documentation coverage by analyzing OpenAPI specs to identify undocumented endpoints and quality gaps, helping prioritize documentation efforts.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin guide-reconAudit existing API documentation for completeness and accuracy
API design toolkit for REST and GraphQL with endpoint design, versioning strategies, and OpenAPI documentation generation. Includes api architect agent for strategic API decisions.
Enterprise Technical Writer for API documentation, user guides, and developer experience
API design, documentation, and testing with OpenAPI spec generation
Creates professional API documentation using OpenAPI specifications with endpoints, authentication, and interactive examples. Use when documenting REST APIs, creating SDK references, or building developer portals.
Technical writing specialists for functional and API documentation. 3 specialized agents (functional-writer, api-writer, docs-reviewer) and 6 documentation skills covering voice/tone, structure, API field descriptions, and quality review. Enforces clear, consistent documentation standards.
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".