Skill UI

Generates concise TLDR-format summaries for GitHub Copilot customization files, MCP server docs, or related URLs, ensuring actionable examples and context-aware verbosity for inline or chat view sessions.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

This skill automatically updates a markdown file with an index or table of files from a specified folder. It scans the target file, discovers files matching a pattern, and generates a structured list or detailed table. It supports simple lists, detailed tables, or categorized sections, preserving existing markdown formatting and using relative paths for links.

Update existing specification files for solutions based on new requirements or code changes. Ensures documentation is optimized for Generative AI consumption, machine-readable, and self-contained. Follows structured formatting standards including requirements, constraints, interfaces, and acceptance criteria to facilitate AI-driven development workflows.

This skill performs visual inspection and validation of website design quality, identifying and fixing issues at the source code level. It supports static sites, SPA frameworks, and full-stack applications. The workflow includes information gathering, visual inspection for layout, responsive, and accessibility issues, followed by source code fixes and re-verification. It ensures responsive design, visual consistency, and accessibility compliance across various viewports.

This skill provides templates and guidelines for conducting code reviews in Chinese-speaking teams. It helps balance feedback tone, avoiding being too polite or too blunt. It includes priority labeling (must fix, suggest, reference), mixed Chinese-English comment standards, and commit message formats. It also addresses common anti-patterns like excessive politeness or style wars, ensuring code quality without damaging team morale.

This skill guides users on how to structure research for cricket-related questions by systematically narrowing the search space. It teaches the critical steps of identifying the specific match format (e.g., ODI, T20, Test, IPL) and determining all participating teams, including lesser-known associate nations. This structured approach ensures comprehensive and accurate information retrieval on any cricket topic.

This guide provides techniques for conducting effective crime investigations in non-English speaking countries (e.g., Thailand, Malaysia, Latin America). It teaches investigators to move beyond generic English searches by incorporating local language terms, specific regional place names, and local media terminology to find comprehensive and relevant information.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.

This skill helps users maintain a structured and comprehensive record of their daily activities, progress, key decisions, and learning outcomes. It creates a dedicated file for each day using the ISO date format (yyyy-mm-dd), ensuring that all entries are organized chronologically. By adhering to concise, third-person reporting, it helps users build a valuable, reviewable knowledge base of their journey and accomplishments.

This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.

This technique allows users to locate game developers or projects indirectly by searching for highly distinctive biographical details. Instead of relying on game databases, it leverages unique phrases, historical events, or personal lifestyle details found in interviews, blogs, or conference talks. It is invaluable when the developer's identity is obscured, requiring deep research using exact-match queries on obscure information.