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Topic: genai

216 skills in this topic.

AgentDB Performance Optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
diegopacheco/ai-playground 15
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
diegopacheco/ai-playground 15
browser Web browser automation with AI-optimized snapshots for claude-flow agents
diegopacheco/ai-playground 15
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
diegopacheco/ai-playground 15
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
diegopacheco/ai-playground 15
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
diegopacheco/ai-playground 15
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
diegopacheco/ai-playground 15
github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
Pair Programming AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
ReasoningBank Intelligence Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
diegopacheco/ai-playground 15
swarm-advanced Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
diegopacheco/ai-playground 15
Swarm Orchestration Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
diegopacheco/ai-playground 15
V3 CLI Modernization CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
diegopacheco/ai-playground 15
V3 Core Implementation Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
diegopacheco/ai-playground 15
V3 DDD Architecture Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
diegopacheco/ai-playground 15
V3 MCP Optimization MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
diegopacheco/ai-playground 15
V3 Performance Optimization Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
diegopacheco/ai-playground 15
vsdd Verified Spec-Driven Development (VSDD) workflow. Fuses SDD + TDD + VDD into a single AI-orchestrated pipeline. Enforces: Spec Crystallization -> Test-First Implementation -> Adversarial Refinement -> Formal Hardening -> Convergence. Use when user invokes /vsdd.
diegopacheco/ai-playground 15