Skill UI

Automates Desktime operations by orchestrating Rube MCP calls through Composio's toolkit, guiding users to refresh tool schemas before executing workflows and to reuse sessions for reliable results.

This skill collects a comprehensive debug bundle from the Instantly workspace. It gathers critical metrics including campaign state, account health, warmup analytics, webhooks, and background job status. The resulting structured JSON report is ideal for creating detailed support tickets, performing technical troubleshooting, or conducting internal system audits.

This skill guides the creation of structured, importable JSON templates for the Obsidian Web Clipper. It facilitates the analysis of a target website's content structure, including DOM, Schema.org data, and CSS selectors. Users can map complex web elements into a robust template format, incorporating advanced logic like conditionals and loops, ensuring the resulting clipboard data is consistently formatted and ready for immediate use.

Summarizes any requested week, month, quarter or year into a factual financial narrative, comparing current results to prior and year-ago periods while flagging anomalies and recurring bills.

This skill generates a highly structured, section-by-section paper outline using research narratives, auto-review conclusions, and experiment results. It supports advanced features like referencing existing paper styles (e.g., from arXiv or local PDFs) and generating a 'Gap Report' to identify structural areas needing evidence, making it invaluable for early-stage academic writing.

Provides a quick CLI summary of unread Gmail inbox messages (sender, subject, date), letting you limit results, filter queries, and optionally show labels for productivity workflows.

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

Automate sharing a Google Drive folder with collaborators by locating the folder, giving editor and viewer permissions via gws commands, and verifying the resulting permissions for team collaboration.

An agent skill simulating high-pressure big-tech corporate culture. It enforces strict owner consciousness, end-to-end validation, and role-based behaviors (P7-P10) using escalating PUA feedback to drive developers or sub-agents to deliver high-quality results.

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.

A guide for refining search queries when researching Indian or South Asian actors. It emphasizes the necessity of including domain keywords such as "Bollywood," "Hindi film," or specific Indian award names (e.g., "Filmfare Award") to filter out irrelevant Western search results and drastically improve search precision.

This skill acts as a specialized prompt engineer for AI design tools. It transforms vague, rough UI/UX ideas into polished, highly optimized prompts. It systematically enhances prompts by injecting missing details such as specific components, design system adherence (colors, typography), page structure, and platform context, ensuring the resulting command is professional and ready for superior AI generation.