src/ai/flows/skills-extraction.ts

'use server';

/**
 * @fileOverview This file defines a Genkit flow for extracting data science skills from project descriptions.
 *
 * It includes:
 * - `extractSkills`: An async function to initiate the skill extraction process.
 * - `SkillsExtractionInput`: The input type for the `extractSkills` function, containing an array of project descriptions.
 * - `SkillsExtractionOutput`: The output type for the `extractSkills` function, listing the extracted skills.
 */

import {ai} from '@/ai/genkit';
import {z} from 'genkit';

const SkillsExtractionInputSchema = z.object({
  projectDescriptions: z
    .array(z.string())
    .describe('An array of project descriptions.'),
});
export type SkillsExtractionInput = z.infer<typeof SkillsExtractionInputSchema>;

const SkillsExtractionOutputSchema = z.object({
  skills: z
    .array(z.string())
    .describe('A list of the unique data science skills extracted from the project descriptions.'),
});
export type SkillsExtractionOutput = z.infer<typeof SkillsExtractionOutputSchema>;

export async function extractSkills(input: SkillsExtractionInput): Promise<SkillsExtractionOutput> {
  return skillsExtractionFlow(input);
}

const skillsExtractionPrompt = ai.definePrompt({
  name: 'skillsExtractionPrompt',
  input: {schema: SkillsExtractionInputSchema},
  output: {schema: SkillsExtractionOutputSchema},
  prompt: `You are an expert data science skill identifier.

  Given the following project descriptions, identify the key data science skills that are demonstrated. Provide the skills as a list of strings.

  Project Descriptions:
  {{#each projectDescriptions}}- {{{this}}}
  {{/each}}`,
});

const skillsExtractionFlow = ai.defineFlow(
  {
    name: 'skillsExtractionFlow',
    inputSchema: SkillsExtractionInputSchema,
    outputSchema: SkillsExtractionOutputSchema,
  },
  async input => {
    const {output} = await skillsExtractionPrompt(input);
    return output!;
  }
);