Skill UI

Provides actionable guidance and review checklists for modern clean UI/UX, emphasizing CRAP principles, task-first flows, information architecture, system feedback, consistency, and refined iconography.

Handles QA code review reports by prioritizing critical and warning findings, implementing fixes with tests, running verification checklists, and preparing re-verification reports via the Forja Dev agent.

Intelligent multi-strategy web scraper that selects between static WebFetch, browser automation, curl/bash, and WebSearch paths to extract structured tables, lists, pricing, and other data, with pagination handling, validation confidence, transforms, and CSV/JSON output for monitoring workflows.

Framework for auditing and optimizing GEO content for each AI search platform, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot with tailored checklists and action steps.

Generate tailored roadmap narratives, release notes, changelogs, and stakeholder updates for executives, engineering, and customer audiences, with structured formats, templates, and checklists for consistent product messaging.

Guides founders through multi-platform launches—Product Hunt, Hacker News, BetaList, AppSumo, directories, and communities—covering asset prep, waitlists, outreach, and post-launch optimization to maximize momentum and long-tail discovery.

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

This skill details the forensic analysis of Windows LNK shortcut files and Jump Lists. These artifacts record critical user activity, including file access and program execution, even after the original source files have been deleted. It covers using specialized tools (LECmd, JLECmd) and Python parsing techniques to reconstruct user timelines, making it essential for incident response and deep digital forensics examinations.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

Master the creation of a two-tier Public Key Infrastructure (PKI) Certificate Authority hierarchy—including an offline Root CA and an operational Intermediate CA. This skill guides you through using OpenSSL and Python cryptography to manage X.509 certificate issuance, configure Certificate Revocation Lists (CRLs), set up OCSP responders, and enforce strict certificate policies. Essential for deploying robust trust anchors for TLS, code signing, or client authentication.

This guide details deploying Tailscale (or self-hosted Headscale) to create a WireGuard-based zero trust mesh VPN. It establishes encrypted peer-to-peer connections between devices, eliminating the need for traditional VPN servers. Features include identity-aware Access Control Lists (ACLs), subnet routing, and secure connectivity for compliance-driven architectures. Use this when enforcing granular, identity-authenticated access control.

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).