Kling

CommunityPopular

Anil-matcha

kling

Kling AI video generation with client-side JWT auth: text-to-video, image-to-video, status polling, clip extend, lip-sync. Trigger phrases: kling, kling video, klingai, kling text to video.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`kling`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Kling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/kling
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/kling .claude/skills/kling

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Kling

Purpose

Generate top-tier video with Kling's official open platform: text-to-video, image-to-video, clip extension, and lip-sync, plus Kolors image generation and talking-avatar endpoints on the same platform. Use when Michael wants the highest-quality AI video clips. Kling is also reachable through fal.ai with simpler auth (trade-off: fal's markup).

Tooling

All commands go through bin/kling.py:

bash
bin/kling.py auth                                                         # mint a JWT and verify it is accepted (free)
bin/kling.py text2video --prompt "a samurai in neon rain" --json '{"duration": "10"}'
bin/kling.py image2video --image-url https://.../frame.png --prompt "slow zoom out"
bin/kling.py status --task-id <task_id>                                   # poll until succeed/failed
bin/kling.py extend --task-id <task_id> --json '{"prompt": "continue forward"}'   # extend a finished clip
bin/kling.py lip-sync --json '{"voice_id": "...", "video": "..."}'       # lip-sync a video

text2video and image2video print a task_id. Poll status with backoff until the task succeeds, then download the asset immediately. --json merges extra fields (duration, aspect_ratio, model_name) into the request.

Auth

Provider id: kling (credential is collected as custom.kling)
Collection: access key + secret key pair via the secure credential flow (credentials.request_api_access); created at app.klingai.com/global/dev. Stored as ONE value in access_key:secret_key format.
Allowed hosts: api.klingai.com
Status check: bin/kling.py auth (must return "ok": true). Auth is unusual: the CLI splits the credential on the first colon, mints a short-lived HS256 JWT per request with stdlib hmac (iss = access key, exp ~30 min), and sends Authorization: Bearer <jwt>. The secret never leaves the vault path.

Operating Rules

Kling uses prepaid resource packs. Confirm with Michael before every text2video, image2video, extend, and lip-sync; failed tasks are reportedly not charged.
Generated asset URLs are short-lived. Download immediately; never store the URL as the artifact.
JWT minting is handled entirely inside bin/kling.py. Never mint or print tokens elsewhere, and never log the secret.
Model IDs move through v2.6/3.0 lineage. Confirm the current model id in Kling's docs before pinning one.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/kling.py). Do not print, log, or transmit the key pair.

Files

SKILL.md
bin/kling.py

Maturity

🧪 Draft: written from Kling's public developer docs via the research dossier; not yet live-tested end-to-end. JWT minting logic needs a live check on first use.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/kling.py9 KB

Frequently asked questions

What does the Kling AI skill do?

Kling AI video generation with client-side JWT auth: text-to-video, image-to-video, status polling, clip extend, lip-sync. Trigger phrases: kling, kling video, klingai, kling text to video.

Why use Kling on TypingMind?

Because you install it once and use it with any model. Kling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/kling. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kling?

As many as you like. As long as a model supports skills, you can use Kling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kling AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Kling

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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