Execute integrate Kling AI video generation into CI/CD pipelines. Use when automating video content generation in build pipelines. Trigger with phrases like 'klingai ci', 'kling ai github actions', 'klingai automation', 'automated video generation'.
npxskills add jeremylongshore/claude-code-plugins-plus-skills--skill klingai-ci-integrationLoading…
Automate video generation in CI/CD pipelines. Common use cases: generate product demos on release, create marketing videos from prompts in a YAML file, regression-test video quality across model versions.
# .github/workflows/generate-videos.yml
name: Generate Videos
on:
workflow_dispatch:
inputs:
prompt:
description: "Video prompt"
required: true
model:
description: "Model version"
default: "kling-v2-master"
jobs:
generate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install dependencies
run: pip install PyJWT requests
- name: Generate video
env:
KLING_ACCESS_KEY: ${{ secrets.KLING_ACCESS_KEY }}
KLING_SECRET_KEY: ${{ secrets.KLING_SECRET_KEY }}
run: |
python3 scripts/generate-video.py \
--prompt "${{ inputs.prompt }}" \
--model "${{ inputs.model }}" \
--output output/
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: generated-video
path: output/*.mp4
retention-days: 7
#!/usr/bin/env python3
"""scripts/generate-video.py -- CI-friendly video generation."""
import argparse
import jwt
import time
import os
import requests
import sys
BASE = "https://api.klingai.com/v1"
def get_headers():
ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
token = jwt.encode(
{"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
)
return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--prompt", required=True)
parser.add_argument("--model", default="kling-v2-master")
parser.add_argument("--duration", default="5")
parser.add_argument("--mode", default="standard")
parser.add_argument("--output", default="output/")
parser.add_argument("--timeout", type=int, default=600)
args = parser.parse_args()
os.makedirs(args.output, exist_ok=True)
# Submit
r = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
"model_name": args.model,
"prompt": args.prompt,
"duration": args.duration,
"mode": args.mode,
})
r.raise_for_status()
task_id = r.json()["data"]["task_id"]
print(f"Task submitted: {task_id}")
# Poll
start = time.monotonic()
while time.monotonic() - start < args.timeout:
time.sleep(15)
result = requests.get(
f"{BASE}/videos/text2video/{task_id}", headers=get_headers()
).json()
status = result["data"]["task_status"]
elapsed = int(time.monotonic() - start)
print(f"[{elapsed}s] Status: {status}")
if status == "succeed":
video_url = result["data"]["task_result"]["videos"][0]["url"]
filepath = os.path.join(args.output, f"{task_id}.mp4")
with open(filepath, "wb") as f:
f.write(requests.get(video_url).content)
print(f"Saved: {filepath}")
return
if status == "failed":
print(f"FAILED: {result['data'].get('task_status_msg')}", file=sys.stderr)
sys.exit(1)
print("TIMEOUT: generation did not complete", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
# video-prompts.yml
videos:
- name: product-hero
prompt: "Sleek laptop floating in space with particle effects"
model: kling-v2-6
mode: professional
- name: feature-demo
prompt: "Dashboard interface morphing between screens"
model: kling-v2-5-turbo
mode: standard
import yaml
with open("video-prompts.yml") as f:
config = yaml.safe_load(f)
for video in config["videos"]:
task_id = submit_async(video["prompt"], model=video["model"])
print(f"{video['name']}: {task_id}")
# .gitlab-ci.yml
generate-video:
image: python:3.11-slim
stage: build
script:
- pip install PyJWT requests
- python3 scripts/generate-video.py --prompt "$VIDEO_PROMPT" --output output/
artifacts:
paths:
- output/*.mp4
expire_in: 7 days
variables:
KLING_ACCESS_KEY: $KLING_ACCESS_KEY
KLING_SECRET_KEY: $KLING_SECRET_KEY
| Platform | Store AK/SK in |
|---|---|
| GitHub Actions | Repository Secrets |
| GitLab CI | CI/CD Variables (masked) |
| AWS CodeBuild | Parameter Store / Secrets Manager |
| GCP Cloud Build | Secret Manager |
Never put API keys in the workflow YAML or commit them to the repo.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).