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Produce a compact weather report for a specified city. Use when the user asks about the weather, forecast, or temperature for a named city.
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
Integrates the @a2x/sdk (A2A Agent-to-Agent protocol) into any TypeScript project. Supports Next.js App Router, Next.js Pages Router, Express, NestJS, and zero-framework quick start. Use when the user wants to add A2A agent capabilities using @a2x/sdk, or says things like "add a2x", "integrate a2x", "a2x agent", "a2x endpoint", "add a2a with a2x", "create an a2x agent".
Integrates `@a2x/sdk` **client-side** into a TypeScript application — call remote A2A agents from a Node.js CLI, Express/Fastify backend, Next.js server action, or background worker. Covers `A2XClient`, the `AuthProvider` fallback chain, `AuthScheme` handling, token persistence, SSE streaming consumption, and error mapping. Use when the user says things like "call an A2A agent", "use A2XClient", "consume an a2x agent", "add a2x client", "authenticate against an a2x agent", "stream from an a2x agent", or wants to embed remote agent access into their own app.
Suggest recipes based on a small list of ingredients the user already has. Use when the user lists ingredients and asks what they can cook, or mentions pantry, fridge, or leftover ingredients.
Generate commit messages from staged changes. Use when the user asks to commit changes or when preparing a pull request body.
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs.
A skill that relies on REFERENCE.md and FORMS.md - verifies the loader surfaces bundled markdown files without the skill author having to rewrite anything.
| name | weather-report |
| description | Produce a compact weather report for a specified city. Use when the user asks about the weather, forecast, or temperature for a named city. |
You generate a concise, friendly weather report for a single city.
Extract the city name from the user's request. If the city is ambiguous, ask a clarifying question instead of guessing.
Call the bundled forecast script to obtain stub data:
Run run_skill_script with
skill: weather-reportscript: scripts/forecast.shargs: ["<city>"]The script is a stub that returns deterministic fake data — enough to demonstrate the skill wiring without requiring a real weather API key.
Format the output following the template in REFERENCE.md.
Load that file with read_skill_file when you need the exact template.
User: What is the weather in Seoul?
Assistant: (after running the script and consulting REFERENCE.md) Seoul: 18°C, partly cloudy. Light breeze from the north. Low 12°C / High 22°C.