ruvector
github.com/ruvnet/ruvector
Skill | Added | Review |
|---|---|---|
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning | 56 1.51x Agent success vs baseline Impact 100% 1.51xAverage score across 3 eval scenarios Securityby  Critical Do not install without reviewing Reviewed: Version: c2089c4 | |
github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management | 53 2.41x Agent success vs baseline Impact 87% 2.41xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: c2089c4 | |
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination | 45 3.69x Agent success vs baseline Impact 85% 3.69xAverage score across 3 eval scenarios Securityby Critical Do not install without reviewing Reviewed: Version: c2089c4 | |
flow-nexus-neural Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus | 64 2.63x Agent success vs baseline Impact 95% 2.63xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: c2089c4 | |
ReasoningBank with AgentDB Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems. | 14 Impact — No eval scenarios have been run Securityby Advisory Suggest reviewing before use Reviewed: Version: c2089c4 | |
browser Web browser automation with AI-optimized snapshots for claude-flow agents | 66 2.52x Agent success vs baseline Impact 57% 2.52xAverage score across 3 eval scenarios Securityby Risky Do not use without reviewing Reviewed: Version: c2089c4 | |
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration | 43 1.38x Agent success vs baseline Impact 90% 1.38xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: c2089c4 | |
Hooks Automation Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows. | 13 Impact — No eval scenarios have been run Securityby Risky Do not use without reviewing Reviewed: Version: c2089c4 | |
V3 Swarm Coordination 15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline. | 14 Impact — No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: c2089c4 | |
V3 DDD Architecture Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern. | 14 Impact — No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: c2089c4 | |
Skill Builder Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification. | 13 Impact — No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: c2089c4 | |
agentic-jujutsu Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination | 44 2.62x Agent success vs baseline Impact 84% 2.62xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: c2089c4 |