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Found 139 Skills
Automate Cheat Engine memory analysis, reverse engineering, and debugging using AI through MCP protocol
AI-assisted TradingView chart analysis and automation via Chrome DevTools Protocol for Claude Code
Use Alpaca's MCP server to trade stocks, ETFs, crypto, and options through natural language in your IDE or AI assistant.
Routes analysis and debugging tasks. Triggers on analyze, debug, troubleshoot, review, audit, security, performance, optimize, investigate, trace.
Generates hierarchical knowledge graphs via Recursive Pareto Principle for optimised schema construction. Produces four-level structures (L0 meta-graph through L3 detail-graph) where each level contains 80% fewer nodes while grounding 80% of its derivative, achieving 51% coverage from 0.8% of nodes via Pareto³ compression. Use when creating domain ontologies or knowledge architectures requiring: (1) Atomic first principles with emergent composites, (2) Pareto-optimised information density, (3) Small-world topology with validated node ratios (L1:L2 2-3:1), or (4) Bidirectional construction. Integrates with graph (η≥4 validation), abduct (refactoring), mega (SuperHyperGraphs), infranodus (gap detection). Triggers: 'schema generation', 'ontology creation', 'Pareto hierarchy', 'recursive graph', 'first principles decomposition'.
Build and deploy MCP servers that stream interactive Excalidraw diagrams with smooth viewport control
MCP server for Google Ads, Meta Ads & GA4 — 250+ tools for campaign management, analytics & optimization across all platforms
MCP server for JavaScript reverse engineering in real browser environments with hooks, breakpoints, network tracing, deobfuscation, and environment reconstruction.
Lightweight CLI for interacting with MCP (Model Context Protocol) servers - discover, inspect, and execute MCP tools from the command line
Connect AI agents to Cheat Engine for automated memory analysis, reverse engineering, and debugging via MCP
Enable Claude to trade, analyze, and manage Polymarket prediction markets with 45 AI-powered tools, real-time monitoring, and enterprise-grade safety features
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.