Libraries tagged by generate slug
zaengle/craft-sharingintents
3597 Downloads
Generate social sharing intent URLs
webdna/qrcode
3215 Downloads
Generate a QR code
verbb/social-share
1113 Downloads
Generate social media buttons, share dialogs and share counts.
springworks/entity-diagrams
1127 Downloads
Generate entity diagrams that show how the different parts of your Craft site relate to each other
kuriousagency/qrcode
8069 Downloads
Generate a QR code
felixarntz/wp-encrypt
51 Downloads
Generate and manage SSL certificates for your WordPress sites for free with this Let's Encrypt client.
pennebaker/craftcms-thearchitect
282 Downloads
CraftCMS plugin to generate content models from JSON data.
ucomm/a11y-menu
1886 Downloads
A package to generate accessible main navigation menus. It includes: a js script for the browser as an npm package, WordPress walker for theme development, and WordPress plugin.
gam6itko/fakerphp-animal-provider
484 Downloads
Additional plugin for fakerphp/faker that allows you to generate a random animal
convergine/craft-content-buddy
798 Downloads
Content Buddy is an AI-driven CraftCMS plugin that leverages the ChatGPT API to automatically generate and manage multi-language content, including text and images, with customizable settings and features for precise control and enhanced content creation.
inda-hr/php_sdk
412 Downloads
# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.
olliebrennan/zf2-slug-generator
196 Downloads
A ZF2 Slug Generation Library. Allows basic slug generation or integration with your DB
mdzahid/laravel-slug-generator
0 Downloads
This package is a simple laravel slug generator package
ammont/fa-slugify
134 Downloads
Slug generator for persian/farsi.
coding-wisely/laravel-slug-auto-generator
33 Downloads
Auto generating unique slugs for your Laravel model