원클릭으로
app
Opinionated app components building on top of ./ui primitives
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Opinionated app components building on top of ./ui primitives
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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)