Skill UI

This architecture provides a scalable, production-ready framework for integrating AI candidate analysis with Juicebox. It manages automated data ingestion from job descriptions, ranks candidates using intelligent scoring, handles result caching, and facilitates seamless data export to major ATS platforms like Greenhouse and Lever. Designed for high-volume, complex hiring pipelines requiring data freshness, deduplication, and robust scaling.

Use the Composio Lever integration in Claude Code to manage Lever ATS job postings, opportunities, requisitions, tags, and pipeline stages entirely from the terminal for streamlined recruiting workflows.

llama.cpp is a pure C/C++ library designed for efficient LLM inference, optimized to run on resource-constrained environments. It excels in scenarios where high-end NVIDIA GPUs (CUDA) are unavailable, making it ideal for Apple Silicon Macs, AMD/Intel GPUs, or edge deployment devices like Raspberry Pi. It supports GGUF quantization formats, enabling significant memory reduction and speed improvements for local, cross-platform AI applications.

This skill provides comprehensive handling for Lokalise translation data, covering the entire localization lifecycle. It facilitates creating keys with rich metadata, managing versions using immutable snapshots, isolating work with feature branches, and generating various export formats (JSON, XLIFF). It is essential for handling sensitive translation data, ensuring PII compliance, and managing scalable internationalization within development pipelines.

Provides comprehensive patterns for data synchronization, ETL processes, and data migration specifically for MaintainX. Use this when needing to keep data consistent between MaintainX and external databases, data warehouses (like BigQuery), or when performing bulk data exports to formats like CSV. It covers incremental syncing, full exports, and data reconciliation checks.

Guides writing JavaScript inside n8n Code nodes, covering modes, data access patterns, webhook structure, return formats, helper utilities, and best practices for HTTP requests and DateTime handling.

Captures and surfaces Whatsapp activity details so teams can monitor conversations, spot trends, and maintain compliance or support readiness.

This guide provides a comprehensive roadmap for migrating and upgrading integrations with the OpenEvidence clinical AI platform. It addresses critical API changes, such as schema restructuring (e.g., flat answers to structured evidence), version detection, and updated citation formats. Developers can use this knowledge to implement robust migration logic, ensuring that downstream clinical applications maintain high levels of accuracy and safety when accessing evolving medical evidence.

A comprehensive workflow bundle designed for system administrators and developers. It guides users through the entire lifecycle of system management and shell scripting across Linux, macOS, and Windows. Key phases include environment assessment, writing robust Bash scripts, advanced debugging techniques, linting with ShellCheck, and rigorous test automation using Bats, ensuring scalable and reliable automation.

Automates web application penetration testing by leveraging the penetration-tester plugin to scan OWASP Top 10 threats, suggest exploitation techniques, and produce actionable vulnerability reports for pentest or vulnerability assessment requests.

Quick reference of PostgreSQL best practices covering indexing cheatsheets, data type choices, security policies, and configuration templates to guide optimization and troubleshooting workflows.

A comprehensive guide detailing red team tactics based on the MITRE ATT&CK framework. It covers the entire adversary lifecycle, including reconnaissance, initial access, privilege escalation, defense evasion, lateral movement, and exfiltration. This skill is designed for authorized security assessments to simulate real-world threats and identify critical defensive gaps.