By akhilyad
Neural trading via npx neural-trader — self-learning strategies, Rust/NAPI backtesting, 112+ MCP tools, swarm coordination, and portfolio optimization
Backtesting specialist using npx neural-trader Rust/NAPI engine — walk-forward validation, Monte Carlo simulation, parameter optimization
Market regime detection and technical analysis using npx neural-trader — RSI, MACD, Bollinger Bands, volume profile, regime classification
Portfolio risk assessment and position sizing using npx neural-trader — VaR/CVaR, Kelly criterion, circuit breakers, correlation monitoring
Designs and optimizes neural trading strategies using npx neural-trader — LSTM/Transformer models, Rust/NAPI backtesting, Z-score anomaly detection
Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation
Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
Uses power tools
Uses Bash, Write, or Edit tools
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Autonomous Multi-Agent Orchestration for AI-Native Development
Orchestrate 100+ specialized AI agents across coordinated swarms with event-driven intelligence, self-learning memory, and autonomous healing. Hyrex transforms Claude Code into a distributed agent operating system.
Hyrex extends proven multi-agent orchestration with three event-driven layers:
┌─────────────┐ │ Intent │ │ Router │ └──────┬──────┘ │ ┌────────────┼────────────┐ │ │ │ ┌─────▼────┐ ┌────▼────┐ ┌─────▼────┐ │ Event │ │ Agent │ │ Task │ │ Mesh │◄┤ Hive ├─┤ Queue │ └─────┬────┘ └────┬────┘ └─────┬────┘ │ │ │ ┌─────▼────────────▼────────────▼─────┐ │ Orchestration Layer │ │ (MCP, Hooks, Swarm Coordinator) │ └─────┬────────────┬────────────┬─────┘ │ │ │ ┌─────▼────┐ ┌────▼────┐ ┌─────▼────┐ │ Memory │ │ SONA │ │ Vector │ │ Graph ├─┤ Neural ├─┤ Store │ └──────────┘ └─────────┘ └──────────┘ │ │ │ ┌─────▼────────────▼────────────▼─────┐ │ Autonomous Healing Layer │ │ (Self-repair, Retry, Circuit-break) │ └─────────────────────────────────────┘
npx claudepluginhub akhilyad/deployy --plugin hyrex-neural-traderAgent teams, swarm coordination, Monitor streams, and worktree isolation — wraps 4 swarm_* + 8 agent_* MCP tools (12 total) plus 6 topologies (hierarchical / mesh / hierarchical-mesh / ring / star / adaptive)
Security review, dependency scanning, policy gates, and CVE monitoring
RuVector memory with HNSW search, AgentDB, and semantic retrieval
Session-as-skill browser automation: Playwright + RVF cognitive containers + ruvector trajectories + AgentDB selector memory + AIDefence PII/injection gates
Foundation plugin — registers the hyrex MCP server (300+ tools across memory/agentdb/embeddings/hooks/aidefence/neural/autopilot/browser/agent/swarm), provides 3 generalist agents (coder/researcher/reviewer), 3 first-run skills, and a curated plugin-discovery catalog
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Superpowers Plus core skills library for Claude Code: planning, execution routing, TDD, debugging, and collaboration workflows
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.