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gamma-hello-world伽玛你好世界

Agent Skill

gamma-hello-world 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

512

周安装

22

GitHub Stars

2,069

下载量

180
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gamma-hello-world(伽玛你好世界)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/gamma-hello-world
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill gamma-hello-world
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill gamma-hello-world

简介

gamma-hello-world 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合作为入门示例或基础功能演示。
  • 支持在 Codex、Claude、Cursor、Gemini CLI 中集成使用。
  • 安装前应核实权限、维护状态及是否触发文件读写或网络请求。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Gamma Hello World

Overview

Generate your first presentation using Gamma's async Generate API. The workflow is: POST to create a generation, poll for status, then retrieve results (gammaUrl + exportUrl).

Prerequisites

  • Completed gamma-install-auth setup
  • Valid GAMMA_API_KEY environment variable
  • Pro account with available credits

The Generate-Poll-Retrieve Pattern

All Gamma generations are asynchronous:

  1. POST /v1.0/generations — submit content, receive generationId
  2. GET /v1.0/generations/{generationId} — poll every 5s until completed or failed
  3. ResultgammaUrl (view in app) + exportUrl (download PDF/PPTX/PNG)

Instructions

Minimal curl Example

# Step 1: Create generation
GENERATION=$(curl -s -X POST \
  "https://public-api.gamma.app/v1.0/generations" \
  -H "X-API-KEY: ${GAMMA_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Create a 5-card presentation about the benefits of AI in business",
    "outputFormat": "presentation"
  }')

GEN_ID=$(echo "$GENERATION" | jq -r '.generationId')
echo "Generation started: $GEN_ID"

# Step 2: Poll until complete (every 5 seconds)
while true; do
  STATUS=$(curl -s \
    "https://public-api.gamma.app/v1.0/generations/${GEN_ID}" \
    -H "X-API-KEY: ${GAMMA_API_KEY}")
  STATE=$(echo "$STATUS" | jq -r '.status')
  echo "Status: $STATE"
  [ "$STATE" = "completed" ] || [ "$STATE" = "failed" ] && break
  sleep 5
done

# Step 3: Retrieve results
echo "$STATUS" | jq '{gammaUrl, exportUrl, creditsUsed}'

Node.js / TypeScript Example

const GAMMA_BASE = "https://public-api.gamma.app/v1.0";
const headers = {
  "X-API-KEY": process.env.GAMMA_API_KEY!,
  "Content-Type": "application/json",
};

async function generatePresentation(content: string) {
  // Step 1: Create generation
  const createRes = await fetch(`${GAMMA_BASE}/generations`, {
    method: "POST",
    headers,
    body: JSON.stringify({
      content,
      outputFormat: "presentation",
    }),
  });
  if (!createRes.ok) throw new Error(`Create failed: ${createRes.status}`);
  const { generationId } = await createRes.json();
  console.log(`Generation started: ${generationId}`);

  // Step 2: Poll for completion
  while (true) {
    const pollRes = await fetch(`${GAMMA_BASE}/generations/${generationId}`, { headers });
    const result = await pollRes.json();

    if (result.status === "completed") {
      console.log(`View: ${result.gammaUrl}`);
      console.log(`Download: ${result.exportUrl}`);
      console.log(`Credits used: ${result.creditsUsed}`);
      return result;
    }
    if (result.status === "failed") {
      throw new Error(`Generation failed: ${JSON.stringify(result)}`);
    }
    console.log(`Status: ${result.status}...`);
    await new Promise((r) => setTimeout(r, 5000));
  }
}

// Run it
await generatePresentation("Create a 5-card intro to machine learning");

Python Example

import os, time, requests

BASE = "https://public-api.gamma.app/v1.0"
HEADERS = {
    "X-API-KEY": os.environ["GAMMA_API_KEY"],
    "Content-Type": "application/json",
}

def generate_presentation(content: str) -> dict:
    # Step 1: Create
    resp = requests.post(f"{BASE}/generations", headers=HEADERS, json={
        "content": content,
        "outputFormat": "presentation",
    })
    resp.raise_for_status()
    gen_id = resp.json()["generationId"]
    print(f"Generation started: {gen_id}")

    # Step 2: Poll
    while True:
        poll = requests.get(f"{BASE}/generations/{gen_id}", headers=HEADERS)
        result = poll.json()
        if result["status"] == "completed":
            print(f"View: {result['gammaUrl']}")
            print(f"Download: {result['exportUrl']}")
            return result
        if result["status"] == "failed":
            raise Exception(f"Failed: {result}")
        print(f"Status: {result['status']}...")
        time.sleep(5)

generate_presentation("5-card intro to sustainable energy")

Expected Output

{
  "generationId": "gen_abc123",
  "status": "completed",
  "gammaUrl": "https://gamma.app/docs/Benefits-of-AI-abc123",
  "exportUrl": "https://export.gamma.app/gen_abc123.pdf",
  "creditsUsed": 42
}

Output Formats

outputFormatResult
presentationSlide deck (default)
documentLong-form document
webpageWeb page
social_postSocial media content

Error Handling

ErrorCauseSolution
401 on POSTBad API keyVerify X-API-KEY header
422 on POSTInvalid parametersCheck content and outputFormat values
status: "failed"Generation could not completeSimplify content or reduce card count
Poll timeoutVery large generationIncrease poll duration beyond 2 minutes

Resources

Next Steps

Proceed to gamma-core-workflow-a for advanced generation with themes, images, and export options.

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.81%
按下载量换算63

Claude

29.96%
按下载量换算54

Cursor

16.21%
按下载量换算29

Gemini CLI

9.7%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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