jeremylongshore

klingai-team-setup

@jeremylongshore/klingai-team-setup
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

Configure Kling AI for team and organization use. Use when setting up shared access, managing team API keys, or organizing projects. Trigger with phrases like 'klingai team', 'kling ai organization', 'klingai multi-user', 'shared klingai access'.

Installation

$skills install @jeremylongshore/klingai-team-setup
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/klingai-pack/skills/klingai-team-setup/SKILL.md
Branchmain
Scoped Name@jeremylongshore/klingai-team-setup

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: klingai-team-setup description: | Configure Kling AI for team and organization use. Use when setting up shared access, managing team API keys, or organizing projects. Trigger with phrases like 'klingai team', 'kling ai organization', 'klingai multi-user', 'shared klingai access'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Klingai Team Setup

Overview

This skill guides you through setting up Kling AI for teams, including API key management, access controls, project organization, and role-based permissions.

Prerequisites

  • Kling AI account with team/enterprise plan
  • Admin access to organization settings
  • Understanding of RBAC concepts

Instructions

Follow these steps for team setup:

  1. Create Organization: Set up team organization
  2. Generate API Keys: Create per-team or per-project keys
  3. Define Roles: Set up role-based access
  4. Configure Quotas: Assign usage limits
  5. Monitor Usage: Track team consumption

Output

Successful execution produces:

  • Team configuration file
  • Role-based access controls
  • Project-specific API keys
  • Permission enforcement

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

More by jeremylongshore

View all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

neural-network-builder
1,004

building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

oauth-callback-handler
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.