Skill UI

An advanced ruleset for crafting clear, precise, and formal English technical prose. This guide integrates established literary principles (like those from Strunk & White and Orwell) with modern best practices for AI-generated content. It is ideal for writing research papers, technical documentation, proposals, and release notes, ensuring maximum clarity and professional tone.

This skill provides advanced connection-discovery and semantic search across your personal Apple Notes. It moves beyond simple keyword matching to find related ideas, identify non-obvious 'bridges' between concepts, and synthesize comprehensive summaries of your thoughts. Ideal for knowledge workers looking to recall, analyze, or map their personal knowledge base.

This skill generates structured, professional summaries for clinical case presentations, handovers, and educational documentation. It supports established medical formats like SBAR and SOAP notes, ensuring all necessary components—from subjective complaints to recommendations—are systematically included. Designed for healthcare professionals to improve documentation clarity and facilitate seamless patient transitions. Note: This output is strictly for educational and documentation purposes and must not replace professional clinical judgment.

This skill transforms raw meeting discussions, transcripts, or notes into a highly structured and actionable document. It systematically captures critical outputs, including definitive decisions, assigned action items (with clear owners and deadlines), open questions, and defined next steps. Use it for project reviews, sprint planning, and stakeholder syncs to ensure maximum follow-through and clarity.

A specialized tool designed to strip out predictable, statistical patterns common in AI-generated writing. It systematically rewrites overly polished or uniform text—such as blog posts, emails, or social media captions—by injecting genuine human signals, ensuring the final output reads like it was written by a real person.

This skill transforms raw notes, bullet points, or unstructured memories into comprehensive, professional performance reviews. It structures the output for various review types (Self-assessment, Manager, Peer, 360 feedback), ensuring coverage of key achievements, core strengths, constructive areas for growth, and measurable development goals. Ideal for annual reviews, mid-year check-ins, and formal performance documentation.

This skill scrapes Substack Notes analytics by extracting key engagement metrics (likes, comments, restacks) and content details. It overcomes the lack of a public API, allowing users to analyze performance data from a specified date range into a highly formatted, actionable Excel spreadsheet. The output includes detailed per-note data, total engagement calculations, and summary statistics.

This skill synthesizes raw user interview transcripts into structured research findings. It identifies core themes, pain points, workflow insights, and actionable product implications. Use this when analyzing qualitative research notes to derive evidence-based product recommendations and next steps for development teams.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.

A comprehensive guide on creating developer-centric changelogs and release notes. Learn how to structure updates using Semantic Versioning and the Keep a Changelog format. This skill helps communicate new features, breaking changes, deprecations, and performance improvements in a way that developers genuinely care about, building trust and demonstrating product momentum.

Specialized skill to rewrite and humanize AI-generated natural language files (like notes or documentation). It removes common 'AI-isms' such as sycophantic openings, stock vocabulary, over-explaining, and excessive signposting. Users can choose between a fast, deterministic regex cleanup or a deep LLM rewrite (default mode) using Claude to enhance burstiness and match a natural human voice, all while strictly preserving code blocks, URLs, and headings.