Getting skills by an author in SUSI.AI Skill CMS

The skill description page of any skill in SUSI.AI skill cms displays all the details regarding the skill. It displays image, description, examples and name of author. The skill made by author can impress the users and they might want to know more skills made by that particular author.

We decided to display all the skills by an author. We needed an endpoint from server to get skills by author. This cannot be done on client side as that would result in multiple ajax calls to server for each skill of user. The endpoint used is :

"" + author

Here the author is the name of the author who published the particular skill. We make an ajax call to the server with the endpoint mentioned above and this is done when the user clicks the author. The ajax call response is as follows(example) :

 0:       "/home/susi/susi_skill_data/models/general/Entertainment/en/creator_info.txt",
 1: "/home/susi/susi_skill_data/models/general/Entertainment/en/flip_coin.txt",
 2: "/home/susi/susi_skill_data/models/general/Assistants/en/websearch.txt",
session: {
identity: {
type: "host",
name: "",
anonymous: true

The response contains the list of skills made by author. We parse this response to get the required information. We decided to display a table containing name, category and language of the skill. We used map function on object keys to parse information from every key present in JSON response. Every value corresponding to a key represents a response of following type:



  • Category: There are currently six categories Assistants, Entertainment, Knowledge, Problem Solving, Shopping and Small Talks. Each skill falls under a different category.
  • language: This represents the ISO language code of the language in which skill is written.
  • name: This is the name of the skill.

We want these attributes from the string so we have used the split function:

let parse = data[skill].split('/');

data is JSON response and skill is the key corresponding to which we are parsing information. We store the array returned by split function in variable parse. Now we return the following table in map function:

return (
                         unloader={<CircleImage name={name} size="40"/>}

Here :

    • name: The name of skill converted into Title case by the following code :
let name = parse[8].split('.')[0];
name = name.charAt(0).toUpperCase() + name.slice(1);
  • parse[6]: This represents the category of the skill.
  • isoConv(parse[7]): parse[7] is the ISO code of the language of skill and isoConv is an npm package used to get full form of the language from ISO code.
  • CircleImage: This is a fallback option in case image at the URL is not found. This takes first two words from the name and makes a circular component.

After successful execution of the code, we have the following looking table: