Agent skill · AI & Agents

workorai

WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.

Nick44,414★ · +328/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill workorai --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Declared author: work0r-ai
Path: skills/workorai/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# WorkorAI ## Overview WorkorAI is a talent marketplace exposed to agents through an MCP server (streamable HTTP at https://workorai.com/mcp, listed on the official MCP Registry as `io.github.work0r-ai/workorai`). This skill routes requests by intent across the dual-role tool surface: 9 `candidate.*` tools (job search, job detail, applications, apply, invitations, saved jobs) and the `employer.*` tools (job lifecycle, candidate discovery, invitations, applicant review). Employer candidate discovery returns tiered rankings (best/good/weak) with a white-box match explanation per candidate — fit score, skills proven in interview, gaps, and a quotable rationale — instead of a black-box score. ## When to Use This Skill - Use when a user asks to find a job, search vacancies, apply to a position, or track their applications ("find me a job", "ищу работу"). - Use when an employer wants to post, publish, update, close, or archive a job on WorkorAI. - Use when an employer asks to find, rank, compare, or evaluate candidates, or asks why a candidate matches a role. - Use when a user needs to set up or troubleshoot the WorkorAI MCP connection and API key onboarding. ## How It Works ### Step 1:

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Connect the MCP server
  5. Step 2: Route by role and intent
  6. Step 3: Explain matches with white-box data
  7. Examples
  8. Example 1: Candidate job search
  9. Example 2: Employer candidate discovery
  10. Best Practices
  11. Limitations
  12. Security & Safety Notes
  13. Additional Resources
Commands it runs
claude mcp add --transport http workorai https://workorai.com/mcp
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About this skill
What does the workorai skill do?

WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill workorai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going