Skill UI

This skill provides a comprehensive solution for embedding the powerful, Photoshop-compatible Photopea editor into any web application. Using photopea.js, developers can control the embedded instance via JavaScript, enabling advanced workflows such as opening remote files, loading local assets (fonts, brushes), executing custom scripts to manipulate layers and text, and exporting the final result in various formats (PNG, JPG, PSD, WebP). Ideal for building professional creative tools directly into your product.

Provides a comprehensive CLI reference for Tabular Editor 2 (TE2). It enables automated model management, including deployment to XMLA endpoints, running embedded scripts, performing Best Practice Analysis (BPA), and handling model exports (TMDL). This skill is essential for integrating data model lifecycle management into CI/CD pipelines and automating repetitive tasks from the command line.

This skill surfaces and prioritizes hidden assumptions embedded in product briefs, PRDs, or concept descriptions. It assesses assumptions across Desirability, Feasibility, Viability, and Usability, scoring them by Confidence and Impact to create a structured, prioritized map. It is essential for product risk auditing, validating product plans, and ensuring the robustness of early-stage concepts.

Detailed methods for red-teaming and penetration testing of LLM applications. This skill extracts sensitive system prompts, secrets, and embedded logic using advanced techniques like jailbreaking, encoding tricks, and automated scanners (Garak, Promptfoo), ensuring compliance with OWASP LLM07:2025.

This skill provides comprehensive techniques for security-testing Retrieval-Augmented Generation (RAG) pipelines. It probes for indirect prompt injection, which occurs when malicious instructions are embedded in retrieved documents, and tests for embedding-space manipulation. Using advanced tools like NVIDIA garak, Promptfoo, and PyRIT against vector stores (FAISS, Chroma, etc.), users can validate retrieval guardrails and secure CI/CD gates against adversarial inputs and data leakage.

This skill enables users to upload local images, such as screenshots or before-and-after comparisons, directly to GitHub using the GitHub CLI. It bypasses the lack of a public image upload API by mimicking the web UI's internal attachment flow, generating canonical `user-attachments` URLs. These URLs can then be seamlessly embedded into Pull Requests, Issues, or comments from the terminal.

Utilize this skill to assess the health, adoption, and performance metrics of published EAS Updates directly via the CLI. It reports critical data points including crash rates, unique user counts, install volumes, payload size, and the split between embedded and OTA users, making it essential for post-publish monitoring and regression detection.

A comprehensive guide for bringing RuView CSI sensing nodes (ESP32-S3/C6) online. This skill covers the full lifecycle: building the embedded firmware, flashing the device, provisioning WiFi credentials, and confirming the Continuous Sensing Image (CSI) data stream. Essential for physical hardware deployment and debugging of complex sensing systems.

This skill guides authors on positioning their research for the ACM International Conference on Tangible, Embedded, and Embodied Interaction (TEI). It functions as a venue-selection and re-framing tool, helping authors structure manuscripts (moving from general CS/journal style to a specialized tangible interaction narrative). It covers scope fit, evidence requirements, and distinguishing TEI from similar HCI conferences.

This guide provides a comprehensive framework for positioning mobile and embedded systems manuscripts for ACM MobiSys. It details venue fit, contribution framing, necessary real-device evidence, and how to differentiate the work from related conferences (e.g., MobiCom, UbiComp). Use this when your research value depends on surviving real-world device constraints, sensing, or edge computing environments.

This comprehensive preflight checklist is designed for authors submitting a commissioned review article to Annual Reviews of Psychology (ARPsych). It guides users through critical compliance checks, ensuring adherence to assigned length, proper reference formatting, securing figure permissions, completing conflict-of-interest disclosures, and verifying the transparency and reproducibility of any embedded meta-analysis or literature search. It serves as the final quality assurance step before formal publishing submission.

This comprehensive checklist guides researchers through the detailed formatting and technical requirements for submitting manuscripts to the Econometric Theory journal via ScholarOne/Manuscript Central. It covers critical points such as creating a single embedded-font PDF, adhering to APA author-date referencing, maintaining single-anonymous identity, and managing the article length ceiling (50 pages). Use this before final submission to avoid common rejection reasons.