Browse published AI skills maintained by vamseeachanta. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
274Repository stars across indexed skills
914Repository forks
139Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Real-time performance metrics collection, bottleneck detection, SLA monitoring, anomaly detection, and resource tracking. Use for continuous system monitoring, performance dashboards, and proactive issue detect...
Generate standardized .agent-os directory structure with product documentation, mission, tech-stack, roadmap, and decision records. Enables AI-native workflows.
Verify and enforce coding standards, AI guidelines, and workspace compliance across repositories. Use for standards propagation, compliance verification, and enforcing development best practices.
Post-commit skill that reviews completed work, identifies reusable patterns, and creates/enhances skills for continual learning. Auto-executes after commits to build organizational knowledge.
Use the workspace-hub unified CLI for repository management, compliance, development tools, and system configuration. Use for navigating workspace tools and executing common operations.
Multi-repository git synchronization patterns for batch operations
Performance bottleneck analysis, workflow inefficiency detection, pattern recognition, and optimization recommendations. Use for identifying performance issues, root cause analysis, and generating actionable im...
Collaborate on documents with tracked changes, suggestions, and iterative refinement. Use for reviewing drafts, providing editorial feedback, and collaborative document development.
Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.
Fatigue analysis for offshore structures including S-N curves, rainflow counting, Miner's rule, and DNV standards
Production validation specialist ensuring applications are fully implemented and deployment-ready. Use to verify no mock/stub/fake implementations remain, validate against real databases and APIs, perform end-t...
Post-commit skill that reviews completed work, identifies reusable patterns, and creates/enhances skills for continual learning. Auto-executes after commits to build organizational knowledge.
Build multi-level interactive CLI menus for bash scripts
Code review and quality assurance specialist for ensuring code quality, security, and maintainability
Marine and offshore engineering fundamentals for platform design, subsea systems, and regulatory compliance
Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness. Use for reviewing AI subscriptions, analyzing tool usage, optimizing AI spend.
Create enterprise-grade interactive charts with Highcharts
Neural network training and deployment in Flow Nexus cloud. Use for distributed ML training, model inference, and neural network lifecycle management.
Comprehensive PDF manipulation toolkit with OpenAI Codex integration for intelligent PDF-to-Markdown conversion. IMPORTANT - Always convert PDFs to markdown first using Codex, then process the markdown. Also su...
Cross-repository swarm orchestration for organization-wide automation and intelligent collaboration. Use for multi-repo coordination, synchronized operations, dependency management, and organization-wide policy...
Goal-Oriented Action Planning (GOAP) specialist that dynamically creates intelligent plans to achieve complex objectives. Use for multi-step tasks with dependencies, adaptive replanning, complex deployment work...
Flow Nexus application marketplace and template management. Use for app publishing, discovery, deployment, and marketplace operations.
Dynamic task distribution, work-stealing algorithms, queue management, and adaptive load balancing. Use for optimizing task execution across agents, preventing overload, and maximizing throughput.
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.