AI & Agents

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

Agent skill for performance-analyzer - invoke with $agent-performance-analyzer

Query available AI models, list model aliases, and browse the full model catalog from the CLI. Filter by provider, search by capability, and resolve model name variants.

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 sys…

Agent skill for code-goal-planner - invoke with $agent-code-goal-planner

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.

Find the questions people ask about a market, how ChatGPT answers them, and which sites get cited in the answers. Use when the user asks what people ask AI about their niche, wants prompt ideas, or wants to know where t…

AI-powered crypto trading agent, wallet API, and LLM gateway via natural language. Use when the user wants to trade crypto, trade tokenized stocks and ETFs (spot or leveraged), check portfolio balances (with PnL and NFT…

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,…

Agent skill for resource-allocator - invoke with $agent-resource-allocator

Lets the model compose interfaces at runtime from a component vocabulary instead of one hand-written component per tool, and covers every generative UI pattern in the framework. Use for the model-driven present tool: JS…

USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or "Did you mean?" UI.

Calibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you need to verify alignment before trusting its outputs. Do NOT us…

Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

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 ass…

View cost breakdowns, token usage, and call logs from the CLI. Filter by provider, model, or date range. Export usage reports and inspect per-connection spending.

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Agent skill for specification - invoke with $agent-specification

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Run 397B parameter Mixture-of-Experts LLMs on a MacBook using pure C/Metal with SSD streaming

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

Agent skill for load-balancer - invoke with $agent-load-balancer

Agent skill for swarm-pr - invoke with $agent-swarm-pr

Agent skill for pr-manager - invoke with $agent-pr-manager

Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

Worker-Agent integration for intelligent task dispatch and performance tracking

Design LLM-as-Judge evaluators for subjective criteria that code-based checks cannot handle. Use when a failure mode requires interpretation (tone, faithfulness, relevance, completeness). Do NOT use when the failure mod…

Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator

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-ag…

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,…

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 million…

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init

Agent skill for production-validator - invoke with $agent-production-validator

Agent skill for sandbox - invoke with $agent-sandbox

Agent skill for test-long-runner - invoke with $agent-test-long-runner

Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent con…

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.

Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator

Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker

Agent skill for release-swarm - invoke with $agent-release-swarm

Agent skill for swarm-issue - invoke with $agent-swarm-issue

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI.…

Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

Agent skill for release-manager - invoke with $agent-release-manager

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist

Agent skill for worker-specialist - invoke with $agent-worker-specialist

Build a LiveAvatar integration end-to-end — assesses the user's existing stack, recommends the optimal path, and guides implementation. Use when: (1) Building a new LiveAvatar integration, (2) Adding a real-time avatar…