Skill UI

Comprehensive guide to LLM Operations (LLMOps). Covers advanced topics like Retrieval-Augmented Generation (RAG), vector database management (Pinecone, Chroma), embeddings, fine-tuning, prompt engineering, and cost optimization. Essential for bridging the gap between AI prototypes and reliable, scalable, production-grade AI systems.

Provides a comprehensive guide on installing, configuring, and tuning the Snort 3 Intrusion Detection System. This skill covers setting up network interfaces for promiscuous monitoring, writing custom rulesets, optimizing detection coverage, and integrating alerts with SIEM platforms to monitor network boundaries for malicious activity.

This skill provides a structured methodology for mitigating alert fatigue within Security Operations Centers (SOCs). It guides users through advanced techniques, including implementing Risk-Based Alerting (RBA) to replace high-volume, low-fidelity alerts with consolidated risk scores. It emphasizes quantifying alert quality by analyzing True Positive (TP) and False Positive (FP) rates, and systematically tuning detection rules to maintain analyst effectiveness.

This skill provides comprehensive guidance on deploying and tuning Web Application Firewall (WAF) rules across major cloud platforms, including AWS, Azure, and Cloudflare. It details strategies to protect cloud-hosted applications against OWASP Top 10 attacks, implement rate limiting for brute force protection, configure geo-blocking, and refine rules to minimize false positives.

Systematically optimizes Security Information and Event Management (SIEM) detection rules in platforms like Splunk and Elastic. This process involves analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and statistically adjusting detection thresholds to significantly reduce false positives, improving overall security efficacy.

A comprehensive guide to configuring ModSecurity WAF with OWASP Core Rule Set (CRS). It covers establishing robust web application logging, tuning rules to minimize false positives, and implementing custom SecRules for advanced threat detection. Essential for security audits, compliance, and architectural hardening.

This skill guides developers through integrating Static Application Security Testing (SAST) tools like CodeQL and Semgrep into GitHub Actions CI/CD pipelines. It covers automating code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results, and establishing quality gates to prevent vulnerable code from merging into production.

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

This comprehensive guide details advanced network reconnaissance using Nmap's full capabilities. It covers sophisticated host discovery across multiple protocols, deep port scanning with timing and performance tuning, accurate service version enumeration, and OS fingerprinting. Furthermore, it teaches advanced techniques like firewall evasion (fragmentation, spoofing) and running NSE scripts for systematic vulnerability detection, crucial for authorized security assessment reports.

Guides fine-tuning and evaluation of OpenVLA-OFT/OFT+ for robot action generation, covering LoRA adaptation, continuous action heads, FiLM conditioning, and LIBERO/ALOHA benchmarks plus deployment considerations.

Provides end-to-end guidance for fine-tuning and serving Physical Intelligence’s OpenPI pi0 family (pi0, pi0-fast, pi0.5) with both JAX and PyTorch backends, covering dataset prep, norm stats, checkpoint conversion, and low-latency WebSocket policy inference for ALOHA, DROID, and LIBERO tasks.

Comprehensive Snowflake development assistant covering SQL best practices, dynamic tables, streams, tasks, Snowpipe, Cortex AI functions/agents, Snowpark Python, dbt integration, performance tuning, and security hardening for production data platforms.