Agent Skills Hub

ai-llm-patterns

Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.

contract-analyzer

Intelligent contract review tool for identifying risks, extracting key terms, and flagging unusual clauses to support informed decision-making.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.

ai-mesh

Fast-reference guide and utility skill for Helm chart development, template syntax, and Kubernetes application deployment.

contract-reviewer

Analyze business contracts for risks, gaps, and unfavorable terms. Generate structured risk reports for NDAs, MSAs, SaaS agreements, and SOWs with actionable redline recommendations.

ffuf-web-fuzzing

Expert-level guidance for ffuf web fuzzing, enabling automated discovery of hidden directories, files, parameters, and vulnerabilities during penetration testing.

audit-skills

Audit AI skills for security vulnerabilities including prompt injection, hidden instructions, tool misuse, and data exfiltration risks.

manufacturing-failure-reason-codebook-normalization

Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.

visual-testing-advanced

Advanced visual regression testing with pixel-perfect and AI-powered diff analysis, cross-browser validation, and responsive design checks to prevent UI regressions in CI/CD pipelines.

zero-finance

Automated inbound and outbound AI email workflow for 0 Finance, enabling agents to manage invoices, bank transfers, and financial conversations.

cicd-pipeline-qe-orchestrator

Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.

flaky-detect

Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.