Skill UI

This command executes the entire AgentHub lifecycle in a single, chained invocation. It automates complex development tasks by sequentially handling initialization, capturing performance baselines, spawning multiple specialized agents, evaluating the results (via metrics or LLM judging), and finally presenting a winner for merging. Use this when running an end-to-end competition or complex refactoring task.

An advanced reliability wrapper for AI agents that monitors, manages, and recovers from tool call failures. It automatically handles common issues such as truncated JSON responses, API timeouts, rate limits, and mid-chain process breakdowns. By implementing sophisticated failure classification, checkpointing, and learning mechanisms, Guardian ensures complex, multi-step agent workflows remain stable and resilient.

Timesketch is a powerful, open-source tool for security teams to build collaborative forensic timelines. It ingests, normalizes, and analyzes multi-source event data—including logs, artifacts, and Plaso outputs—to reconstruct complex attack chains and document incident investigations. Ideal for joint analysis and deep dive DFIR work.

A comprehensive, multi-step workflow for analyzing and deobfuscating highly complex and malicious JavaScript code. It guides users through extracting scripts from phishing pages and web skimmers, identifying obfuscation techniques (Base64, Unicode escapes, eval chains), neutralizing anti-analysis features, and progressively decoding string layers to reveal the original malicious payload for thorough threat intelligence and malware analysis.

This guide focuses on developing multi-event correlation rules using Splunk SPL and Sigma format. It teaches how to detect Advanced Persistent Threats (APT) and lateral movement by chaining multiple Windows authentication, process execution, and network connection events across hosts within specified time windows. Use this to surface complex, multi-stage attack sequences that single-event detection rules typically miss.

Cartography syncs multi-cloud assets (AWS, GCP, Azure) into a Neo4j graph database. It maps relationships like IAM chains, network paths, and cross-account trusts, allowing security teams to conduct comprehensive asset inventories, identify complex attack paths, and generate detailed security reports across heterogeneous cloud environments.

GoldRush API by Covalent lets agents query wallet balances, token prices, transaction history, DEX pairs, and live OHLCV across 100+ chains via REST, CLI, SDK, or WebSocket, avoiding chain-specific plumbing.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

This technique guides users on how to solve highly complex questions that require tracking a chain of related entities (e.g., Author -> Article -> Mentioned Person). Instead of attempting a single search, the process must be broken down into sequential steps, using the result of one search as an anchor point for the next, thereby building a comprehensive knowledge chain.

This tool generates a comprehensive debug bundle for troubleshooting Alchemy SDK issues. It collects crucial diagnostic evidence, including connectivity tests for core, enhanced, and NFT APIs, network status across multiple chains (Ethereum, Polygon, Arbitrum), SDK version, and environment details. Use it when encountering complex blockchain query failures or preparing detailed support tickets for reliable issue resolution.

This comprehensive guide details advanced strategies for optimizing performance when interacting with blockchain data using the Alchemy SDK. Techniques covered include implementing TTL-based caching for data freshness, achieving parallel multi-chain fetches, utilizing batch API calls (e.g., NFT metadata) to reduce Compute Unit (CU) costs, and adopting WebSockets for real-time event subscriptions. Essential for scaling robust, low-latency dApps.

SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use for batch experiments, grid runs, multi-seed sweeps, or auto-chain experiments when /run-experiment cannot handle 10+ jobs that need orchestration.