Agent Skills Hub

mobile-testing

Comprehensive mobile testing for iOS and Android, covering gestures, sensors, permissions, device fragmentation, and performance across 1000+ real and virtual devices.

scientific-critical-thinking

Evaluate scientific claims and research methodology for rigor, bias, and validity. Use evidence-based frameworks like GRADE and Cochrane to analyze experiments, protocols, and study conclusions.

research-lookup

Intelligent research agent that automatically routes queries between fast web search, deep multi-source synthesis, and academic database lookups.

keyword-cluster-builder

Expand seed keywords into comprehensive lists and cluster them by intent and topic to optimize your pillar content strategy.

address-sanitizer

AddressSanitizer (ASan) integration for detecting memory safety vulnerabilities like buffer overflows and use-after-free errors in C/C++ projects.

bdi-mental-states

Implement BDI (Belief-Desire-Intention) architectures for AI agents. Transform RDF context into cognitive mental states to enable deliberative reasoning, explainable decision-making, and semantic interoperability in multi-agent systems.

skill-template

A standardized template for creating and documenting modular Agent Skills to ensure consistent, efficient context engineering across AI agent systems.

compliance-testing

Automate regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, and PCI-DSS to ensure legal adherence, prepare for audits, and secure sensitive data.

scientific-visualization

Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.

file-organizer

An intelligent file management assistant that organizes your workspace, identifies duplicates, and streamlines folder structures automatically.

slack

Manage Slack communications: send, edit, delete messages, handle reactions, pin items, and fetch member information directly through your AI agent.

codeql

Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.