klingai-ci-integration

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'.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-ci-integration

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Review — 56%

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Validation — 9 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

47%

Automate Marketing Video Production with GitHub Actions

GitHub Actions video generation pipeline

Criteria

Without context

With context

Python version 3.11

100%

requests/boto3 deps

100%

KLINGAI_API_KEY secret

100%

Correct API base URL

100%

Bearer auth header

100%

Correct generation endpoint

100%

Valid duration choices

100%

Valid model choices

100%

Polling loop with correct interval

100%

Output JSON fields

60%

100%

Upload artifact with retention

100%

Modern action versions

100%

Slack notification action

30%

100%

Weekly schedule trigger

100%

Script CLI arguments

75%

100%

Without context: $0.2402 · 1m 11s · 12 turns · 13 in / 4,376 out tokens

With context: $0.5807 · 1m 58s · 31 turns · 1,486 in / 6,787 out tokens

100%

57%

Build a Standalone Video Generation Script for CI Integration

Python video generation script

Criteria

Without context

With context

requests library

100%

Correct API base URL

100%

KLINGAI_API_KEY env var

100%

Bearer auth header

100%

POST to generation endpoint

100%

aspect_ratio field

100%

Duration restricted to 5 or 10

100%

Default model kling-v1.5

100%

10-second poll interval

100%

600-second max wait

100%

Output JSON fields

100%

--output-json argument

100%

Error exit codes

100%

Without context: $0.4218 · 1m 39s · 22 turns · 19 in / 6,651 out tokens

With context: $0.2714 · 57s · 17 turns · 446 in / 3,373 out tokens

95%

55%

Set Up GitLab CI Pipeline for Scheduled Video Content Production

GitLab CI and batch video generation

Criteria

Without context

With context

Correct GitLab stages

100%

Python Docker image

100%

PYTHON_VERSION variable

100%

KLINGAI_API_KEY secret

100%

requests library install

100%

Correct API base URL

100%

Bearer auth header

100%

Valid model values

100%

Polling with 600s timeout

100%

video_result.json output

GitLab artifacts config

100%

Batch rate limit delay

100%

Video URL validation

100%

AWS CLI deploy image

100%

Without context: $0.4810 · 2m 16s · 21 turns · 22 in / 8,252 out tokens

With context: $0.5364 · 2m 3s · 28 turns · 1,508 in / 7,397 out tokens

Evaluated: about 18 hours ago
Agent: Claude Code

Table of Contents

Automate Marketing Video Production with GitHub Actions Build a Standalone Video Generation Script for CI Integration Set Up GitLab CI Pipeline for Scheduled Video Content Production

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