Skill UI

This skill utilizes the SpiderFoot REST API and CLI to automate Open-Source Intelligence (OSINT) collection. It performs comprehensive target profiling, reconnaissance, and attack surface mapping across 200+ data sources. Users can select specialized modules (e.g., footprint, investigate) to analyze domains, IPs, and credentials, generating structured intelligence reports essential for security assessments, incident response, and threat intelligence gathering.

This skill demonstrates how to use PyMISP, the official Python library, to programmatically interact with the MISP threat intelligence platform. Users can create, enrich, and manage structured threat events, including adding Indicators of Compromise (IOCs), applying TLP/MITRE ATT&CK tags, and exporting data in STIX 2.1 format for cross-platform sharing, making it ideal for security assessments and incident response.

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

This tool implements the Stakeholder-Specific Vulnerability Categorization (SSVC) framework, providing a structured decision-tree methodology for advanced vulnerability prioritization. It moves beyond traditional CVSS scoring by incorporating critical factors such as active exploitation status (CISA KEV), technical impact, automatability, and mission prevalence. It generates actionable remediation priorities (Track, Attend, Act) to guide security teams in managing risk and improving security program maturity.

Executes a structured VC valuation workflow that ingests SaaS or startup metrics, runs DCF, comparable revenue multiples, and SaaS health models via Python, and synthesizes a defensible valuation, runway, and capital-efficiency narrative for users planning fundraising or benchmarking.

Guides users through a structured 23-step interview to design, generate, and deploy Claude plugins across claude.ai and Claude Code, handling activation prompts, platform quirks, and GitHub pushes.

Automatically analyzes unfamiliar codebases to generate a comprehensive, structured onboarding guide. It systematically detects package manifests, framework fingerprints, architecture maps, key entry points, and coding conventions. Ideal for new developers joining a project or setting up a repository for the first time.

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

Provides Playwright-driven browser automation for scraping structured data, driving multi-step workflows, managing sessions and anti-detection tactics, and capturing screenshots/PDFs in production pipelines.

A comprehensive guide to advanced development practices on the Snowflake platform. Covers best practices for SQL (MERGE, semi-structured data, colon prefix rule), modern data pipeline construction (Dynamic Tables, Streams/Tasks, Snowpipe), and deep integration with Cortex AI functions and Snowpark Python. Essential knowledge for data engineers building robust, scalable, and intelligent data applications.

This tool serves as a persistent memory and state manager for complex coding projects within the Claude environment. It allows users to initialize new projects with structured metadata, track detailed session progress (including summaries, decisions, and next steps), and save the entire context reliably. By ensuring project continuity across disconnected sessions, it drastically improves the flow and consistency of the development workflow.

A comprehensive guide detailing architectural patterns for developing robust Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Covers critical areas like patient safety protocols, structured clinical workflows, drug interaction checking, audit trail implementation, and WCAG accessibility standards. Essential for building highly reliable and compliant healthcare IT solutions.