Data & AI

Review Phase 1 ASCII UI designs from a product owner perspective. Analyze user journeys, identify potential issues, ask clarifying questions about requirements and user flows, create Mermaid diagrams (flowcharts, sequence diagrams, state charts), provide detailed system behavior documentation, and document error handling strategies. Use when reviewing ASCII mockups to validate design against actual user needs, understand system workflows, and ensure completeness before moving to implementation.

Troubleshoot dev server reachability and HMR for WebF apps on real devices (Vite/Webpack): LAN IP vs localhost, 0.0.0.0/--host binding, firewall/ports, and websocket/HMR (ws://) issues. Use when the user mentions HMR, websocket, ws://, --host, 0.0.0.0, LAN IP, firewall, or a device that can load HTML but not assets/HMR.

This details the user's local development environment on NixOS with ZSH/P10K shell environment, running Hyprland window manager, and Kitty terminal. Helps with troubleshooting of command not found errors, script failures, path issues, environment setup, shell configuration, and desktop workflow problems. Uses progressive disclosure for detailed troubleshooting.

Data lineage, cataloging, access control, and compliance.

This skill should be used when the user asks to "provision a VPS", "create a Hetzner server", "spin up a cloud server", "launch a Hetzner instance", "set up a cloud server for Claude Code", "deploy Claude Code to a server", "create a VPS for Claude", or mentions Hetzner Cloud provisioning. Automates VPS creation with Claude Code pre-installed.

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

Asks Claude Code CLI for coding assistance. Use for getting a second opinion, code generation, debugging, or delegating coding tasks.

Guide for creating hooks that trigger actions in response to Claude Code events

Modern type-safe Rust CLI patterns with Clap derive macros, Parser trait, Subcommand enums, validation, and value parsers. Use when building CLI applications, creating Clap commands, implementing type-safe Rust CLIs, or when user mentions Clap, CLI patterns, Rust command-line, derive macros, Parser trait, Subcommands, or command-line interfaces.

Create, read, update, and delete Jira issues. Use when managing Stories, Tasks, Bugs, or Epics - includes field updates and metadata.

Instrument safety checks, content filters, and guardrails for agent outputs

Resets production database with full schema drop. EXTREME CAUTION - deletes all production data. SINGLE SOURCE OF TRUTH for production database reset automation.

Analyze arXiv research papers and explain them in accessible terms. Use when the user mentions arXiv, research paper, academic paper, scientific paper, preprint, or provides an arxiv.org URL.

A set of resources to help agents create new tools and integrate them into the site build process for successful deployment

Generates Dockerfile for application containerization and deployment. Defines multi-stage build process with Node.js build stage and nginx serving stage for production deployment.

Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health checks, managing environment variables, setting up reverse proxies, or when user mentions Docker, Railway, DigitalOcean, AWS, deployment configuration, production setup, or container orchestration.

Run DuckDB SQL queries over CSV, Parquet, JSON/NDJSON, Excel (.xlsx), and database sources (Postgres, MySQL, SQLite, S3) for data exploration and analytics. Use when the user wants to: (1) Explore, filter, or aggregate data from tabular files, (2) Join multiple datasets, (3) Perform analytical SQL over local files or databases, (4) Get precise numeric/statistical results from large datasets. Prefer this over in-context reasoning for datasets with thousands of rows or complex joins/aggregations.

Jenkins, GitHub Actions, GitLab CI, and automated data pipeline deployment

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation

Analyze and map code structure, data flow, and dependencies in legacy codebases. Use for understanding call stacks, dependency trees, side effects, risk profiles, and generating Mermaid diagrams. Ideal for legacy codebases with zero tests.