Skill UI

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 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.

This agent simulates a comprehensive international journal peer review process. It dynamically deploys five expert reviewers—including a Journal-Fit Analyst and a Devil's Advocate—to assess a paper from multiple angles (methodology, domain, originality, logical fallacies). It generates structured reports, an Editorial Decision, and a detailed Revision Roadmap, supporting full reviews, re-reviews, and calibration checks.

Transform raw meeting transcripts, call notes, or chat logs (from Zoom, Teams, etc.) into professional, structured summaries. This tool automatically extracts key decisions, identifies open risks, and generates actionable item lists with clear owners and proposed due dates, making outputs ready for immediate sharing.

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 advanced trading journal captures the full context of a trade, recording not only the fill price and P&L, but also the initial thesis, the defined plan (stop/target), and the emotional state at the time of entry. It integrates with Notion to log and review trades, grading the quality of decisions and execution against the user's own plan, ensuring users learn from process, not just profit.

This tool acts as an orchestrator for submitting manuscripts to Psychological Science. It guides researchers through the complex publication process, making critical decisions based on the manuscript type (e.g., Research Article, Registered Report) and the current stage of development. It is crucial for managing constraints like tight word limits and rigorous open-science requirements, directing users to the correct specialized skills at every step.