[Alexanderdunlop/ai-architecture-prompts](https://github.com/Alexanderdunlop/ai-architecture-prompts/)
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Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
- can be found in `model_comparisons.json` from chat data export
generic skill
既存の`app.py`/`chat_logic.py`構成を分離し、共有ロジックを`core.py`へ集約したうえで、セッションベースのシステムプロンプト機能をWeb UIとCLIの双方に実装する。
Knowledge cutoff: 2024-06
{{systemPromptCustomization}}
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
`mq` is a jq-like command-line tool for Markdown processing. Written in Rust, it allows you to easily slice, filter, map, and transform Markdown files.
=== foundation rules ===
generic skill
1. **Long-running Commands**: When executing commands that typically take a significant amount of time (such as `npm run build`, `npm run lint`, or test suites), you MUST wait for user input or confirmation before proceeding to the next step. Do not auto-run subsequent steps assuming the command has
This skill should be used when users need to create, validate, or modify Moqui framework services, entities, and queries. It provides comprehensive guidance for writing correct Moqui XML definitions, following framework patterns and conventions.
This skill should be used when users need to rent GPUs, run ML training jobs, or manage compute resources on Basilica's decentralized GPU marketplace. Use it for PyTorch/TensorFlow training, distributed training setup, GPU rental management, cost monitoring, or any Basilica CLI workflows. Includes workaround for non-TTY environments like Claude Code.
A React-first 2D canvas library for creative coding, inspired by p5.js but built with modern React patterns.
Analyse rhétorique et épistémologique d'articles, discours et textes argumentatifs. Utiliser ce skill quand l'utilisateur demande d'analyser la qualité argumentative d'un texte, d'identifier des sophismes ou biais, d'évaluer la fiabilité des sources citées, de déconstruire la logique d'un raisonnement, ou de produire une réécriture critique structurée d'un document.
Generate production-ready Rails applications with Inertia.js, React, TypeScript, Server-Side Rendering (SSR), and ShadcnUI components, configured for deployment with Kamal. Use when creating new Rails projects that need modern SPA-like frontend with SEO-friendly SSR, or when helping users set up Inertia.js with Rails. Supports PostgreSQL, MySQL, and SQLite databases.
Analyse rhétorique et épistémologique d'articles, discours et textes argumentatifs. Utiliser ce skill quand l'utilisateur demande d'analyser la qualité argumentative d'un texte, d'identifier des sophismes ou biais, d'évaluer la fiabilité des sources citées, de déconstruire la logique d'un raisonnement, ou de produire une réécriture critique structurée d'un document.
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format.
Generates image generation prompts for Xiaohongshu covers based on user content. It polishes the content to fit Xiaohongshu style + applies a visual style template to produce a JSON output for image generation.
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format.
Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI
Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI