Skill UI

This file-based system provides a structured method for organizing and tracking the progress of complex, multi-stage projects or extensive research tasks. It automatically generates and manages key files like `task_plan.md`, `findings.md`, and `progress.md`. It is ideal for users needing to deconstruct, plan, and maintain comprehensive visibility over large, complex workflows, supporting automatic session recovery and integrity checks.

This technique leverages structured data from music awards (like Grammy nominations and wins) to act as powerful search anchors. By extracting clues such as the award category, year, and status (nominated/won), users can cross-reference potential musicians against verifiable award databases. This method significantly narrows down the pool of candidates, allowing for highly accurate identification and verification of artists.

Utilize the ScholarEval framework for comprehensive and structured evaluation of academic works, including research papers, proposals, and literature reviews. Assess quality across critical dimensions like problem formulation, methodology rigor, data analysis, and scholarly writing. Provides both quantitative scoring and actionable feedback to enhance publication readiness.

Automates the entire process of web research and professional communication. It takes raw web search results and formats them into polished, structured messages, digests, or threaded summaries optimized for Slack. Users can generate outputs in Slack's native Markdown format, Block Kit JSON, or a ready-to-use Webhook command, perfect for weekly reports, security alerts, and competitive intelligence updates.

This tool functions as a post-task epilogue, designed to audit and record the entire research journey. It scans the conversation history at the end of a coding or research session to extract critical research artifacts, including decisions, experiments, dead ends, claims, heuristics, and major pivots. It systematically writes this provenance data into the structured `ara/` directory, ensuring a faithful and auditable trace of how the project truly evolved.

A powerful utility that transforms structured Markdown and JSON artifacts (like research reports, review summaries, or project plans) into polished, single-file HTML views. It ensures artifacts are highly readable for human consumption, maintaining the source Markdown as the canonical truth while adding necessary presentation layers like dashboards or academic layouts.

This meta-skill automates the process of compiling a daily briefing on the top submissions from the arXiv repository. It fetches the latest papers in a specified category, generates a structured, per-paper digest summarizing the core claims, methods, and key findings. It then renders this information into a professional PowerPoint deck (one slide per paper) and persists the entire digest into long-term memory. Ideal for daily research briefings or knowledge management.

This meta-skill automates the creation of professional, distributable PDF briefings. It seamlessly chains together web searching (using multiple engines), summarizing the gathered content into bullet points, and finally rendering the structured material into a beautifully styled A4 PDF document. Ideal for quickly turning research topics or web articles into ready-to-share reports and summaries.

A comprehensive workflow designed to convert unstructured conversational data, meeting notes, and ad-hoc decisions into highly structured, linkable entries within Notion. This tool ensures that all captured knowledge—whether an FAQ, a 'how-to' guide, or a formal decision log—is properly documented, categorized, and linked to maintain a cohesive, searchable knowledge base for easy reuse across teams.

This tool streamlines the entire meeting preparation lifecycle. By integrating Notion context, performing targeted searches, and enriching content with Codex research, users can draft structured agendas, pre-reads, and decision documents. It ensures all necessary background information, owners, timeboxes, and industry insights are compiled for highly effective meetings.

This tool facilitates comprehensive research by pulling relevant information from multiple Notion sources. It synthesizes scattered data into highly structured documentation, such as detailed briefs, comparative analyses, or executive reports. It ensures all claims are supported by accurate inline citations and links, making it ideal for market research, project documentation, or academic reporting where source traceability is critical.

A protocol for token-efficient, accurate, and structured web research. It guides the model to fetch minimum data when accessing URLs, GitHub repositories, or performing web searches, preventing token waste.