ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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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.
natea/fitfinder 3
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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.
natea/fitfinder 3
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swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
natea/fitfinder 3
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AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
natea/fitfinder 3
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
natea/fitfinder 3
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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.
natea/fitfinder 3
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monetization-analyzer
Analyze game concepts for monetization potential, willingness-to-pay, viral mechanics, and revenue generation. Ranks concepts by total monetization score and identifies top revenue opportunities.
natea/fitfinder 3
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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.
natea/fitfinder 3
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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
natea/fitfinder 3
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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.
natea/fitfinder 3
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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.
natea/fitfinder 3
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reddit-sentiment-analysis
Conduct comprehensive sentiment analysis of Reddit discussions for any product, brand, company, or topic. Analyzes what people like, dislike, and wish were different with structured output summaries.
natea/fitfinder 3
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threejs-game
Three.js game development. Use for 3D web games, WebGL rendering, game mechanics, physics integration, character controllers, camera systems, lighting, animations, and interactive 3D experiences in the browser.
natea/fitfinder 3
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flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
natea/fitfinder 3
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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.
natea/fitfinder 3
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
natea/fitfinder 3
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moai-workflow-loop
Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement. Use when implementing error-driven development, automated fixing, or continuous quality validation workflows.
modu-ai/moai-adk 894
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moai-foundation-core
Provides MoAI-ADK foundational principles including TRUST 5 quality framework, SPEC-First DDD methodology, delegation patterns, progressive disclosure, and agent catalog reference. Use when referencing TRUST 5 gates or SPEC workflow.
modu-ai/moai-adk 894
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moai-lang-ruby
Ruby 3.3+ development specialist covering Rails 7.2, ActiveRecord, Hotwire/Turbo, and modern Ruby patterns. Use when developing Ruby APIs, web applications, or Rails projects.
modu-ai/moai-adk 894
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moai-lang-elixir
Elixir 1.17+ development specialist covering Phoenix 1.7, LiveView, Ecto, and OTP patterns. Use when developing real-time applications, distributed systems, or Phoenix projects.
modu-ai/moai-adk 894
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moai-library-nextra
Enterprise Nextra documentation framework with Next.js. Use when building documentation sites, knowledge bases, or API reference documentation.
modu-ai/moai-adk 894
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moai-lang-rust
Rust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performance, memory-safe applications or WebAssembly.
modu-ai/moai-adk 894
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moai-domain-backend
Backend development specialist covering API design, database integration, microservices architecture, and modern backend patterns. Use when designing APIs, implementing server logic, authentication, or authorization.
modu-ai/moai-adk 894
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moai-foundation-context
Manages context window optimization, session state persistence, and token budget allocation for multi-agent workflows. Use for token budget management, context limits, or session handoff across agents.
modu-ai/moai-adk 894