Agent Skills Hub

skill-code-review

Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.

synthesizer

Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.

math-extractor

Extracts mathematical content like definitions, theorems, and proofs from documents (PDF, MD, TEX, TXT) using AI-based cleaning and conversion.

moai-foundation-core

Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.

overview

Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.

backend-development

Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.

web-search

Autonomous research specialist for verified information gathering, source evaluation, and structured synthesis.

split-pdf

Automated pipeline to download, split, and deeply analyze academic PDFs in structured batches to avoid context window limits and ensure high-quality comprehension.

enterprise-agent-builder

Architects enterprise AI agents from structured specs, generating production-ready code, data flow diagrams, and platform-specific logic for ServiceNow, Salesforce, and Snowflake.

code-review

Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.

entry-point-analyzer

Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.

MultiQC

Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.