Skill UI

Configure secure and isolated Webflow integrations across development, staging, and production environments. This guide details how to manage separate API tokens, Site IDs, and secure secrets using industry-standard secret managers like HashiCorp Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring data integrity and reliable deployment in a CI/CD pipeline.

This catalog provides comprehensive infrastructure abstractions and hooks for the Webiny ecosystem. It includes standardized lifecycle hooks (Before/After Build/Deploy/Watch) and specialized services (Logger, UI, AWS interactions) for various modules (Admin, API, Core). Use these standardized interfaces to seamlessly integrate custom logic into your build and deployment pipelines, ensuring modularity and consistency.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This skill provides a structured workflow for developing and modifying content management systems (CMS), applicable to platforms like WordPress, Shopify, and Drupal. It covers crucial architectural seams, including theme and template design, plugin/module development, content modeling, media asset pipelines, and static export processes, ensuring changes maintain structural integrity.

This pipeline orchestrates the process of adapting a highly polished, existing academic paper for resubmission to a new conference or journal. It specializes in text-only microedits, integrating prior reviewer feedback (review corpus) while strictly forbidding new experiments, new citations, or major structural changes. It is designed for high-stakes, time-constrained resubmissions.

A comprehensive guide detailing advanced security threats in Machine Learning and AI systems. Covers model supply chain attacks (RCE via pickle, poisoning), adversarial examples (FGSM, PGD, physical-world), data privacy breaches, and LLM-specific vulnerabilities. Essential for building robust, secure AI pipelines.

This skill details advanced techniques for exploiting formula injection vulnerabilities within CSV, Excel, LibreOffice, and Google Sheets environments. It covers DDE, obfuscation methods, and high-risk functions like IMPORT* that can be triggered when user-controlled data is exported or imported into spreadsheet software. Use this for penetration testing of data pipelines and export features.

This comprehensive pipeline transforms a completed academic paper into a conference-ready talk artifact. It generates structured slide outlines, Beamer source code, editable PPTX, detailed speaker notes, and a full talk script. Crucially, it includes rigorous assurance checks (claim, citation, anonymity) to ensure academic integrity, making it ideal for top-tier conferences like NeurIPS or ICML.

This comprehensive skill transforms raw game concepts into fully actionable, structured Unity development projects. It guides users through a five-phase pipeline, generating detailed Game Design Documents (GDDs), technical scene blueprints, core system architectures, and ready-to-use AI prompts for assets (3D models, textures, music, SFX). Ideal for concept validation and starting a complex game project from scratch.

This fixture is designed to verify basic compiler conformance and confirm target projection accuracy. It serves as a foundational testing tool in the compilation pipeline, ensuring that the compiler adheres to specified standards and correctly targets the intended platform architecture. Use it for early-stage validation of compiler output and system compatibility.

Provides a comprehensive toolkit for integrating X API functionality into applications, data pipelines, and AI agents. Features include robust tweet searching, user profile lookups, timeline fetching, media downloading, and webhook monitoring. Supports multiple languages via official SDKs, REST APIs, and MCP server integration for advanced automation workflows.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).