production-code-standards
Production-ready code standards following CLAUDE Framework with TDD, security, and quality requirements
Browse published AI skills maintained by Primadetaautomation. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
13Repository stars across indexed skills
49Repository forks
0Average repository stars per indexed skill
4Repository stars may repeat across skills from the same repository.
Production-ready code standards following CLAUDE Framework with TDD, security, and quality requirements
Fix Supabase RLS issues - handles missing user context, system processes, background jobs, and provides standardized RLS templates
CI/CD pipelines, zero-downtime deployments, infrastructure as code, and production deployment strategies
Security best practices, OWASP compliance, authentication patterns, and vulnerability prevention
Analyzes user questions and automatically dispatches optimal agents/skills/plugins
API design, database patterns, REST/GraphQL, microservices architecture, and backend best practices
UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintain...
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona c...
TDD workflow, comprehensive test strategies, test coverage, and quality assurance patterns
Analyzes user questions and automatically dispatches optimal agents/skills/plugins
Standardized status reporting for agents and subagents. Ensures consistent progress tracking and machine-readable results.
Detects task stagnation and prevents wasted iterations. Auto-triggers after repeated failures or no progress.
Context-fresh development workflow with spec-driven phases. Prevents context rot by enforcing fresh contexts per task.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.