Skill UI

The FLOW framework is an evidence-led operating model designed for the AI-search era. It structures the entire SEO process into five distinct, systematic stages: Find, Leverage, Optimize, Win, and Local. By utilizing a comprehensive library of 41 AI-driven prompts, it guides users away from ad-hoc querying toward structured, evidence-backed analysis, ensuring consistency across keyword research, backlink strategies, and local optimizations.

This powerful tool compares identical tables across two SQL Server instances (e.g., Production vs. Staging). It efficiently detects missing rows, extra columns, schema drifts, and data mismatches. Leveraging Python and Apache Arrow for fast columnar data transfer, it provides a comprehensive reconciliation report, making it essential for data migration validation and ETL verification.

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

A comprehensive tool for extracting YouTube transcripts, searching videos, browsing channels, and monitoring new uploads. It supports detailed transcript analysis, content summarization, and playlist management by leveraging the TranscriptAPI. Ideal for researchers, content strategists, and market analysts who need structured data from video content without downloading files.

This tool automates the diagnosis of production errors tracked by Sentry. By leveraging the Composio CLI, it retrieves comprehensive issue details, full stack traces, breadcrumbs, and associated commits. It maps stack frames to local source code, allowing agents to propose fixes and triage issues directly, eliminating manual copy-pasting.

This skill provides comprehensive functionality for monitoring and mapping adversary-controlled assets, such as C2 servers, phishing domains, and exploit kit hosts. By leveraging tools like Passive DNS, Certificate Transparency logs, and specialized scanners (Shodan/Censys), analysts can discover, track, and pivot through complex threat actor infrastructure over time, significantly enhancing security operations and threat intelligence maturity.

This technique exploits the Active Directory attribute `msDS-KeyCredentialLink` by injecting attacker-controlled public keys (Shadow Credentials). Using tools like pyWhisker and Certipy, the attacker forces the target account to register a new key. Subsequently, by leveraging PKINIT (Public Key Cryptography for Initial Authentication in Kerberos), the attacker can obtain a service ticket and recover the target's NT hash, achieving a stealthy, password-less, complete account takeover.

A comprehensive system for designing high-quality, multi-platform banners, including social media ads, website heroes, and print materials. It leverages AI visual generation, UI/UX insights, and HTML/CSS structuring to create multiple art direction options for any campaign.

This skill details how to forcefully coerce a target machine account (e.g., a Domain Controller) to authenticate to an attacker-controlled relay. It combines tools like Coercer and PetitPotam, leveraging various RPC protocols (MS-EFSR, MS-RPRN) to achieve NTLM relay. This technique ultimately enables domain compromise by forcing authentication into services like AD CS Web Enrollment (ESC8).

This skill simulates high-impact container breakout techniques, demonstrating how to achieve root compromise on the underlying host operating system. It covers exploiting misconfigurations (e.g., privileged pods, hostPath mounts, exposed Docker sockets) and leveraging known vulnerabilities in runC/containerd, making it essential for authorized penetration testing and assessing the blast radius of a compromised microservice.

This skill guides the verification of software build provenance and signatures using industry standards like SLSA and Sigstore. It leverages tools like cosign and slsa-verifier to enforce keyless OIDC identity and confirm that artifacts were built by trusted sources without tampering. It is essential for hardening CI/CD pipelines and securing the entire software supply chain against advanced attacks.

This skill automatically rewrites raw commit messages to adhere to professional engineering standards. It strips out common 'AI/marketing slop' phrases (like 'robust implementation' or 'leverage') while strictly maintaining the Conventional Commits format. It ensures subjects are concise, bodies provide necessary context (why, breaking changes), and the tone is direct and actionable, making your project history clean and readable.