Skill UI

Access aggregated OFR hedge fund time series and metadata without auth, covering Form PF stats, repo volumes, futures trader positioning, and leverage/counterparty metrics for risk monitoring or research.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

Sets up production-ready Odoo with Docker, docker-compose, PostgreSQL, persistent volumes, env config, optional Nginx SSL proxy, plus diagnostics and best practices for launching on VPS or local dev.

This skill detects DNS-based data exfiltration by analyzing Zeek dns.log files. It identifies indicators such as high Shannon entropy subdomains, oversized TXT/NULL records, and abnormal query volumes. Use it when investigating suspected DNS tunneling or covert C2 channels to enhance threat detection capabilities.

This skill guide details the implementation of envelope encryption using AWS Key Management Service (KMS). It outlines the secure process of using a Data Encryption Key (DEK) to encrypt data locally, and subsequently protecting that DEK with a KMS-managed Key Encryption Key (KEK). This method is crucial for encrypting large data volumes on AWS, significantly reducing direct KMS API calls, improving performance, and maintaining compliance with strict security standards.

This skill guides security teams on systematically tuning SIEM detection rules in platforms like Splunk and Elastic. It focuses on reducing alert fatigue and false positives by analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and measuring detection efficacy using metrics like precision and recall. This is crucial for maturing a Security Operations Center (SOC).

A comprehensive guide for conducting cloud forensics investigations across AWS, Azure, and GCP. This workflow demonstrates how to preserve volatile and non-volatile evidence, including snapshotting volumes, capturing instance metadata, and collecting critical logs (CloudTrail, Activity Log, Audit Log) to trace unauthorized access and analyze security breaches.

This module provides robust handling for Fathom API rate limits (60 requests/minute per user). It implements advanced retry strategies (handling 429 errors and server failures) and efficient batch processing to reliably sync large volumes of meeting intelligence, such as transcripts and action items, into external systems like CRMs or project trackers.

A comprehensive guide to optimizing cloud spending on Fly.io. Learn advanced strategies for cost reduction, including implementing auto-stop/suspend features, correctly right-sizing Virtual Machines (VMs), managing and cleaning up orphaned volumes, and utilizing proper billing monitoring tools. Essential for efficient cloud resource management.

This comprehensive toolkit automates core workflows within Apple Notes using JXA and Bash scripting. It allows users to batch-import content from Markdown files, generate structured notes using customizable templates (e.g., meeting minutes, daily logs), and automatically organize notes into designated folder hierarchies based on naming conventions. Ideal for knowledge workers managing large volumes of notes and content from diverse sources.

This comprehensive guide outlines advanced strategies for optimizing interactions with the Attio REST API. Techniques covered include implementing LRU caching for schemas, using batch queries to avoid N+1 problems, efficient pagination (including streaming), and optimizing connection pooling via keep-alive. It helps developers maximize API throughput, minimize latency, and reliably process large volumes of data.

This guide demonstrates best practices for implementing robust API rate limiting, backoff strategies, and session throttling patterns. It provides solutions for handling common API quota issues, such as 429 errors, and managing high volumes of concurrent encounters. It is essential for building stable, high-throughput systems in SaaS and healthcare environments.