Skill UI

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.

This framework provides a systematic methodology for cybersecurity professionals to transform raw threat intelligence, observed attack patterns, and environmental telemetry into verifiable, testable hunting hypotheses. It guides the end-to-end process, from hypothesis formulation and data identification across SIEM/EDR systems, to deep correlation and reporting, enabling proactive threat detection and scope assessment.

This skill transforms a refined research proposal or method idea into a detailed, structured, and claim-driven experiment roadmap. It helps users determine exactly which experiments to run, in what order, and what evidence is needed to support the core claims of a research paper, ensuring focus on novelty, simplicity, and genuine contribution.

A comprehensive guide for authorized penetration testing on detecting and exploiting HTTP Request Smuggling vulnerabilities. It details analyzing discrepancies between Content-Length and Transfer-Encoding header parsing in multi-tier architectures (e.g., CDN, reverse proxy, load balancers). Learn techniques to bypass access controls, capture subsequent user requests, and escalate attacks in a controlled environment.

This skill guides the implementation of a structured, six-phase threat intelligence lifecycle. It covers transforming raw data into actionable intelligence by mastering planning, collection, processing, analysis, dissemination, and feedback. Ideal for building mature Cyber Threat Intelligence (CTI) programs and aligning security architecture with compliance standards.

This skill guides authorized security professionals through testing web applications for clickjacking vulnerabilities. It involves checking frame embedding controls (like X-Frame-Options and CSP) and crafting complex proof-of-concept overlays to see if users can be tricked into performing unintended sensitive actions, such as deleting accounts or transferring funds.

This skill transforms vague or fuzzy research directions into highly concrete, elegant, and academically rigorous proposals. It operates through multi-phase, iterative refinement, anchoring the process to the core problem while ensuring the proposed method is minimal, cutting-edge, and ready for publication or implementation.

A comprehensive 7-stage workflow designed to manage, audit, and optimize GitHub repositories. This tool automates critical tasks including identifying hardcoded secrets, cleaning up junk files, performing deep documentation reviews, benchmarking against competitors, and validating the final state, transforming messy codebases into production-ready assets.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

Automates the complex pre-development workflow for large-scale system transformations, such as major rewrites, migrations, or overhauls. This skill performs comprehensive project analysis, task decomposition, planning document generation, and sets up detailed progress tracking across multiple phases, ensuring a structured approach before any coding begins. It supports adaptive control and integrates robust task tracking via GitHub or local files.

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.

This tool guides the creation of actionable monitoring dashboards for observability platforms like Grafana and SigNoz. Instead of merely displaying raw metrics, it focuses on structuring data to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What changes occurred? And what action should be taken? It transforms raw metrics into decision-making tools.