ReddRadar
Topic: shadcn-ui
70 skills in this topic.
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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.
chatman-media/timeline-studio 155
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swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
chatman-media/timeline-studio 155
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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.
chatman-media/timeline-studio 155
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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.
chatman-media/timeline-studio 155
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github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
chatman-media/timeline-studio 155
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
chatman-media/timeline-studio 155
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performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
chatman-media/timeline-studio 155
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flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
chatman-media/timeline-studio 155
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flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
chatman-media/timeline-studio 155
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agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
chatman-media/timeline-studio 155
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sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
chatman-media/timeline-studio 155
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stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
chatman-media/timeline-studio 155
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AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
chatman-media/timeline-studio 155
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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.
chatman-media/timeline-studio 155
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AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
chatman-media/timeline-studio 155
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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.
chatman-media/timeline-studio 155
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hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
chatman-media/timeline-studio 155
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ai-elements
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
vercel/ai-elements 1,887
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update-packages
Update workspace packages while respecting the repo's pinned package list in .ncurc.cjs. Use when the user asks to update dependencies or refresh package versions.
elie222/inbox-zero 10,372
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wait
Pause execution for a user-specified duration
elie222/inbox-zero 10,372
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qa-label
Label a PR as ready for QA so the QA server picks it up automatically
elie222/inbox-zero 10,372
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project-structure
Project structure and file organization guidelines
elie222/inbox-zero 10,372
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fullstack-workflow
Complete fullstack workflow combining GET API routes, server actions, SWR data fetching, and form handling. Use when building features that need both data fetching and mutations from API to UI.
elie222/inbox-zero 10,372
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explain-changes
Explain recent changes and provide a structured summary with security checks
elie222/inbox-zero 10,372