Menu
Opinionated app components building on top of ./ui primitives
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Set up and use 1Password CLI (op). Use when installing the CLI, enabling
Guide for adding new AI function examples, for testing specific features against the actual provider APIs.
Use when editing worker/src/constants/default-model-prices.json, packages/shared/src/server/llm/types.ts, pricing tiers, tokenizer IDs, or matchPattern regexes for OpenAI, Anthropic, Bedrock, Vertex, Azure, or Gemini model pricing.
Fixes broken typing checks detected by ty, make typing, or make check-repo. Use when typing errors appear in local runs, CI, or PR logs.
Add documentation for a new AI provider — usage docs, env vars, Docker
Guide for adding new AI provider packages to the AI SDK. Use when creating
| name | app |
| name_zh | app |
| description | Opinionated app components building on top of ./ui primitives |
| description_zh | Opinionated app components building on top of ./ui primitives |
| category | applications |
| tags | ["ai","frontend","javascript","llm","python"] |
| source | null |
| language | en |
| needs_review | false |
| slug | app |
| version | 1.0.0 |
| created | 2026-06-12 |
| updated | 2026-06-12 |
| inputs | [{"name":"request","type":"string","required":true,"description":"User request or task description"}] |
| output | {"format":"markdown","description":"Generated content based on the user request"} |
| author | AI-SKILL |
| license | MIT |
camelCase for custom events{#snippet} + {@render}Use this skill when you need guidance on app.
User request or task description.
Generated content based on the user request.
Follow the guidelines in this skill when working on related tasks.
Do not use this skill for tasks outside its scope.
See the skill content above for practical examples.
# Use the app skill
from skill_loader import load_skill
skill = load_skill("app")
result = skill.execute(params={"key": "value"})
print(result)