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Plugin

Klingai Pack

Kling AI skill pack - 30 skills for AI video generation, image-to-video, text-to-video, and production workflows

Type
Plugin
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Version
1.18.0
Author
Jeremy Longshore

What Klingai Pack is

Klingai Pack is a plugin published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A plugin is a package that bundles skills, slash commands, subagents, hooks, and MCP connectors so they install together. Plugins are plain files with a manifest at .claude-plugin/plugin.json, and they work in both Claude Code and Claude Cowork.

Installing Klingai Pack adds everything it ships in one step. Connectors inside a plugin still need to be connected separately, and hooks and subagents only run in Cowork and Claude Code, not in regular chat.

How to install Klingai Pack

Claude Code

  1. Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace
  2. Install the plugin: claude plugin install klingai-pack@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json.
  3. Restart the session if the new skills or commands don't appear straight away.

Claude Cowork

  1. Open Customize → Plugins and choose Add marketplace.
  2. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub).
  3. Find Klingai Pack in the list, click Install, then connect any connectors it needs from its Connectors tab.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/saas-packs/klingai-pack/.claude-plugin/plugin.json, shared under the repository's MIT license. Read the full file on GitHub.

30 production-ready skills for Kling AI -- the leading AI video generation platform by Kuaishou Technology. Covers the full API surface: text-to-video, image-to-video, video extension, lip sync, effects, camera control, motion brush, virtual try-on, and Kolors image generation.

API Base URL: https://api.klingai.com/v1 Auth: JWT tokens from Access Key (AK) + Secret Key (SK), 30-minute expiry, HS256 signing.

One-Pager

The Problem

Kling AI's API uses JWT authentication (not simple API keys), has async task-based generation (submit, poll, download), temporary CDN URLs that expire, mutually exclusive feature sets for image-to-video, and model versions with different capability matrices. Getting all of this right requires reading across fragmented docs and multiple community examples.

The Solution

30 Claude Code skills with real Kling AI API endpoints, real request/response shapes, real Python and Node.js code, real error codes, and real cost calculations. Every skill uses the actual https://api.klingai.com/v1 base URL and actual JWT authentication patterns. No placeholder code.

What's Included

Stack

Key Differentiators

  • Real JWT auth code -- not "set your API key" placeholder, but actual jwt.encode() with correct headers, payload, and auto-refresh
  • Actual API endpoints -- every skill uses https://api.klingai.com/v1/videos/text2video, /image2video, /video-extend, /effects, /lip-sync
  • Complete task lifecycle -- submit, poll with adaptive backoff, handle succeed/failed states, download, store
  • Cost-aware -- credit calculations for every model/mode/duration combo including the 5x audio multiplier
  • Production patterns -- connection pooling, rate limiting, budget guards, batch queues, webhook fallback

Skill Index

Onboarding & Foundations

Operations & Debugging

CI/CD & Deployment

Enterprise & Compliance

Advanced Patterns

Installation

# Claude Code Plugin
/plugin install klingai-pack@claude-code-plugins-plus

# npm
npm install @intentsolutionsio/klingai-pack

Quick Start

export KLING_ACCESS_KEY="ak_your_key"
export KLING_SECRET_KEY="sk_your_key"

Then ask Claude: "Generate a 5-second video of a sunset over the ocean using Kling AI"

Requirements

  • Kling AI account with API access (app.klingai.com/global/dev)
  • Access Key + Secret Key pair
  • Python 3.8+ with PyJWT and requests, or Node.js 18+ with jsonwebtoken

Resources

  • Kling AI Developer Portal
  • API Reference
  • API Key Management
  • Pricing & Resource Packs

License

MIT License -- see LICENSE for details.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Klingai Pack?

Klingai Pack is a plugin for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Kling AI skill pack - 30 skills for AI video generation, image-to-video, text-to-video, and production workflows

How do I install Klingai Pack in Claude Code?

Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace Install the plugin: claude plugin install klingai-pack@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json. Restart the session if the new skills or commands don't appear straight away.

Can I use Klingai Pack in Claude Cowork?

Open Customize → Plugins and choose Add marketplace. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub). Find Klingai Pack in the list, click Install, then connect any connectors it needs from its Connectors tab.

Is Klingai Pack safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.