Skill UI

Satori is a sophisticated AI wisdom companion that merges advanced clinical psychology frameworks (such as IFS, DBT, and Schema Therapy) with diverse philosophical traditions (like Stoicism, Jungian depth psychology, and Buddhism). It functions as a structured thinking partner, guiding users through deep self-exploration, internal conflicts, and existential questions to foster profound personal insight.

Reads and summarizes local text-based files such as Markdown, JSON, CSV, and source code, including quick type checks and smart tailing for big logs while skipping PDFs, images, and binaries.

Analyzes Terraform plan JSON from the AzureRM provider to filter false-positive Set-type attribute diffs when reviewing changes to gateways, load balancers, NSGs, and similar resources.

A comprehensive skill designed to convert vague ideas, initial concepts, or high-level requirements into structured, detailed, and approved technical specifications. It enforces a rigorous, multi-step workflow, guiding users through context exploration, proposing multiple architectural trade-offs, and iteratively refining the design until a complete specification document is ready for the implementation phase.

Facilitates structured multi-perspective deliberation by simulating distinct thinking archetypes to surface tensions, risks, and actionable synthesis for difficult decisions, trade-offs, creative problems, and strategic choices.

Open Notebook is a self-hosted, open-source alternative to Google NotebookLM, designed for advanced research and document analysis. It allows users to ingest diverse content (PDFs, videos, web pages) and organize them into private notebooks. Key features include AI-powered summarization, context-aware chatting, vector search, and multi-speaker podcast generation, all while ensuring complete data sovereignty by running entirely on your own infrastructure and supporting multiple AI providers.

PyTorch Lightning is an advanced deep learning framework built on PyTorch. It simplifies the entire ML workflow, allowing users to organize models into LightningModules, automate training loops using the Trainer, and manage complex data pipelines with DataModules. It supports advanced features like multi-GPU/TPU scaling (DDP, FSDP), integrated logging (W&B, MLflow), and custom callbacks, making large-scale neural network development efficient and reproducible.

Compiles comprehensive, verifiable external evidence for writing high-quality scientific manuscripts or research briefs. It conducts deep, multi-source academic searches, targeting verified references and structuring the findings into a manuscript-ready research packet. Ideal for in-depth literature reviews, hypothesis testing, and building structured evidence matrices.

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

This integration automates the critical process of converting design assets from Figma into production-ready code using Anima. It establishes a full CI/CD pipeline via GitHub Actions, enabling scheduled or manual component generation. Use this when automating design system handoffs, maintaining code synchronization with design changes, or implementing robust, reliable development workflows.

A comprehensive checklist for validating the production readiness of design-to-code pipelines, specifically for Anima's service converting Figma designs into React, Vue, and HTML. Use this guide when deploying automated code generation services, setting up CI/CD for design handoffs, or validating output quality to ensure component integrity and prevent production failures.

This guide provides actionable strategies for navigating cultural differences in professional and social contexts. It utilizes established frameworks (Hofstede, Culture Map, Hall) to build Cultural Intelligence (CQ). Users learn to adapt communication styles, decode cultural nuances, avoid misunderstandings in international teams, and thrive in globalized work environments, with specific guidance on cross-cultural conflict resolution and business etiquette.