Delegate independent tasks to specialized agents working concurrently with isolated context.
Kling AI Hello World
klingai-hello-world
Create your first Kling AI video generation with a minimal working example.
SKILL.md
Full skill instructions
Kling AI Hello World
Overview
Generate your first AI video in under 20 lines of code. This skill walks through the complete create-poll-download cycle using the Kling AI REST API.
Base URL: https://api.klingai.com/v1
Prerequisites
- Completed
klingai-install-authsetup - Python 3.8+ with
requestsandPyJWT - At least 10 credits in your Kling AI account
Minimal Example — Python
import jwt, time, os, requests
# --- Auth ---
def get_token():
ak = os.environ["KLING_ACCESS_KEY"]
sk = os.environ["KLING_SECRET_KEY"]
payload = {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5}
return jwt.encode(payload, sk, algorithm="HS256",
headers={"alg": "HS256", "typ": "JWT"})
BASE = "https://api.klingai.com/v1"
HEADERS = {"Authorization": f"Bearer {get_token()}", "Content-Type": "application/json"}
# --- Step 1: Create task ---
task = requests.post(f"{BASE}/videos/text2video", headers=HEADERS, json={
"model_name": "kling-v2-master",
"prompt": "A golden retriever running through autumn leaves in slow motion, cinematic lighting",
"duration": "5",
"aspect_ratio": "16:9",
"mode": "standard",
}).json()
task_id = task["data"]["task_id"]
print(f"Task created: {task_id}")
# --- Step 2: Poll until complete ---
import time as t
while True:
t.sleep(10)
status = requests.get(f"{BASE}/videos/text2video/{task_id}", headers=HEADERS).json()
state = status["data"]["task_status"]
print(f"Status: {state}")
if state == "succeed":
video_url = status["data"]["task_result"]["videos"][0]["url"]
print(f"Video ready: {video_url}")
break
elif state == "failed":
print(f"Failed: {status['data']['task_status_msg']}")
break
Minimal Example — Node.js
import jwt from "jsonwebtoken";
const BASE = "https://api.klingai.com/v1";
function getHeaders() {
const token = jwt.sign(
{ iss: process.env.KLING_ACCESS_KEY, exp: Math.floor(Date.now() / 1000) + 1800,
nbf: Math.floor(Date.now() / 1000) - 5 },
process.env.KLING_SECRET_KEY,
{ algorithm: "HS256", header: { typ: "JWT" } }
);
return { Authorization: `Bearer ${token}`, "Content-Type": "application/json" };
}
// Create task
const res = await fetch(`${BASE}/videos/text2video`, {
method: "POST",
headers: getHeaders(),
body: JSON.stringify({
model_name: "kling-v2-master",
prompt: "A golden retriever running through autumn leaves in slow motion",
duration: "5",
aspect_ratio: "16:9",
mode: "standard",
}),
});
const { data } = await res.json();
console.log(`Task: ${data.task_id}`);
// Poll
const poll = setInterval(async () => {
const r = await fetch(`${BASE}/videos/text2video/${data.task_id}`, { headers: getHeaders() });
const s = await r.json();
if (s.data.task_status === "succeed") {
console.log("Video:", s.data.task_result.videos[0].url);
clearInterval(poll);
} else if (s.data.task_status === "failed") {
console.error("Failed:", s.data.task_status_msg);
clearInterval(poll);
}
}, 10000);
Response Shape
{
"code": 0,
"message": "success",
"data": {
"task_id": "abc123...",
"task_status": "succeed",
"task_result": {
"videos": [{
"id": "vid_001",
"url": "https://cdn.klingai.com/...",
"duration": "5.0"
}]
}
}
}
Task Status Values
| Status | Meaning |
|---|---|
submitted | Task queued, waiting for processing |
processing | Video generation in progress |
succeed | Complete — video URL available |
failed | Generation failed — check task_status_msg |
Common First-Run Issues
| Problem | Fix |
|---|---|
401 response | JWT token expired or AK/SK wrong |
task_status: failed | Prompt too vague — add visual detail |
Empty videos array | Task still processing — poll longer |
| Slow generation | Standard mode takes 60-120s; use mode: "standard" for first test |
Cost
- 5-second standard video = 10 credits
- Free tier: 66 credits/day (refreshes daily, no rollover)
Resources
More Other skills
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Fundamental design principles for writing maintainable, testable Python code.
responsive-design
Modern responsive layouts using container queries, fluid typography, CSS Grid, and mobile-first strategies.
Generate Playwright tests from scenarios using interactive browser exploration and validation.
Automated website exploration and test case generation using Playwright.
Modern React state management with Redux Toolkit, Zustand, Jotai, and React Query for every state category.
gdpr-data-handling
GDPR-compliant data handling with consent management, data subject rights, and privacy controls.
Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.
refactor-plan
Detailed multi-file refactor planning with safety checks and rollback guidance.
