By tonone-ai
Perform a comprehensive test reconnaissance: inventory test frameworks, test files, code coverage, and CI integration, and assess testing maturity for project takeover or audit.
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npx claudepluginhub tonone-ai/tonone --plugin proof-reconAudit test suite health — find flaky tests, slow tests, coverage gaps, and testing anti-patterns. Use when asked to "audit tests", "fix flaky tests", "why are tests slow", "test health", or "improve test suite".
Comprehensive testing toolkit for test strategy, coverage analysis, and test data generation. Includes test strategist agent for planning optimal testing approaches.
Use this agent for analyzing test results, synthesizing test data, identifying trends, and generating quality metrics reports. This agent specializes in turning raw test data into actionable insights that drive quality improvements. Examples:\n\n<example>\nContext: Analyzing test suite results
Test execution, TDD workflow, testing strategies, and quality analysis
Quality engineering: E2E, API, integration, performance, chaos, flaky tests, observability, mutation testing, coverage gap analysis. 21 reference sheets, 5 commands, 3 agents.
Testing workflow skill for high-value test discovery, strategy selection, focused implementation, realistic workload generation, strict review, and suite health diagnostics.
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".