Marvis Osazuwa
Community@marz1307 · Manchester, United Kingdom
Analytics Engineer & Data Scientist | dbt · Dagster · AI · Python | production data layers + ML that explains itself | MSc Data Science
Agent Skills by Marvis Osazuwa
Showing 1 vetted skills indexed across 1 GitHub repositories.
Frequently Asked Questions About Marvis Osazuwa
FAQPage SchemaWhat tasks can I automate using Marvis Osazuwa's applyd skill?▼
Applyd scans ten job portals including LinkedIn, Indeed, Glassdoor, Greenhouse, and Lever, scores postings A–G against your profile, drafts tailored CVs and cover letters, runs STAR+R interview prep, and logs everything to an auto-created Notion Applications tracker with kanban and by-stage dashboard views.
Who is the applyd skill designed for?▼
Applyd targets active job seekers and career changers who want a structured application pipeline. It suits candidates managing multiple applications across portals who need scoring, tailored documents, interview preparation, and a centralized Notion tracker rather than manual spreadsheet tracking.
How do I install and run the applyd skill?▼
Invoke it by typing /applyd, pasting a job URL, or asking to scan portals. On first run it enters onboarding, prompting for your CV, LinkedIn and portfolio URLs, target markets and roles, scan hour, Bright Data API key, and Notion integration token, then bootstraps the workspace and Notion database.
Is applyd open source and what does it cost?▼
Applyd is released under the MIT license, so the skill itself is free to use and modify. However, it requires your own Bright Data API key and Notion integration token, so any costs depend on those third-party service plans.
Does applyd submit job applications automatically?▼
No. Applyd never auto-submits applications. It stops before any Submit, Send, or Apply action and waits for explicit human approval, keeping the candidate in control of every application while still automating scanning, scoring, drafting, and tracking.