AI Skills for ML / AI Engineer

Facilitates debugging of OpenClaw models and tools by guiding users through log selection and proof path identification.

Routes plain-language requests for various coding agents into OpenClaw ACP runtime sessions or direct acpx-driven sessions.

Enables efficient searching and syncing of Granola archive data with SQL capabilities for enhanced data management and analysis.

Accelerates data ingestion and processing for ETL and warehouse loading while ensuring data correctness and efficiency.

Optimizes system performance by benchmarking and testing multiple variants to identify the fastest and most efficient implementation.

Facilitates multi-agent orchestration using dmux for parallel workflows, enhancing productivity in AI development tasks.

Facilitates building MCP servers using Node/TypeScript SDK with tools, resources, and validation for efficient server management.

Conducts a comprehensive audit of agent and LLM applications, identifying failures and providing code-first fixes for improved performance.

Enables the creation of persistent multi-agent operating systems on Claude Code, facilitating automation and task management.

Enhances output quality by enforcing fact-checking before code edits, ensuring thorough investigation and context awareness.

Designs composable recommendation and ranking pipelines using a six-stage framework for personalized content delivery.

Conducts a comprehensive audit of the workspace to identify capabilities and recommend enhancements for optimal setup and integration.

Fetches up-to-date documentation for libraries and frameworks using Context7 MCP, enhancing coding assistance with accurate references.

Facilitates structured self-debugging for AI agents, enhancing their ability to diagnose and recover from failures systematically.

Prevents Ethereum hashing bugs in JavaScript and TypeScript by ensuring the correct use of Keccak-256 over NIST SHA3.

Provides a comprehensive security checklist for Solidity AMM contracts, ensuring safe implementation of liquidity pools and swap flows.

Prevents decimal mismatch bugs across EVM chains by ensuring accurate token balance calculations for DeFi tools and bots.

Enhances security for autonomous trading agents by implementing robust patterns against financial threats and transaction vulnerabilities.

Facilitates quick genomic database queries and bioinformatics evidence logging using the gget CLI and Python workflow.

Implements eval-driven development for Claude Code sessions, enhancing AI reliability through structured evaluation frameworks.