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Found 673 Skills
Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.
Applies tests-first discipline (red/green/refactor) and adds regression tests for bugs. Use when implementing features, fixing bugs, or refactoring.
Executes large-scale architectural refactoring and technical debt reduction across the entire codebase. Ensures consistency with modern design patterns.
Validates the interoperability between skills. Ensures that output formats (JSON/Markdown) from one skill are correctly consumed by the next in a chain.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Inject knowledge into JSON data context.
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
A repository of BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization 2. BigFrames Python code 3. BigQuery ML/AI functions.
Master of Filament v4 (2026), specialized in Custom Data Sources, Nested Resources, and AI-Augmented Admin Panels.
Infers user stress/energy levels from interaction patterns (typing speed, error rate). Adjusts response verbosity and visualizes mood via a "Niko-Niko Calendar."
Use this skill when the user wants to dockerize the current project and generate a Dockerfile and docker-compose.yml based on the existing codebase. This skill inspects the repository structure, avoids unsafe assumptions, and produces a minimal, runnable Docker setup for local development.
Generates multiple business scenarios (Growth/Stability/Hybrid) from financial and strategic assumptions for executive decision-making.