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workorai

workorai

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github.com/work0r-aiBusiness & Marketing0Updated 17w ago
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About workorai

workorai Agent Kit installs an Agent Skill and configures MCP access to the WorkorAI talent marketplace for candidates and employers. It includes role-aware credential storage and guides job search, hiring, and applicant review.

Key features

  1. 01Installs the workorai Agent Skill
  2. 02Configures MCP for supported agents
  3. 03Candidate job search and onboarding
  4. 04Employer hiring and applicant review
  5. 05Separate candidate and employer credentials

Use cases

  1. 01Find jobs through a connected agent
  2. 02Post jobs and discover candidates
  3. 03Review applicants and manage hiring steps

MCP support

Configures agent clients to connect to the WorkorAI MCP endpoint and provides role-specific workflows for its candidate and employer tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://workorai.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

29
ParameterTypeRequiredDescription
roleenumNoCANDIDATE | EMPLOYER

Details

From the project README

WorkorAI Agent Kit

npm License: MIT Agent Skill

WorkorAI Agent Kit packages the workorai Agent Skill and a zero-dependency installer for WorkorAI MCP talent marketplace workflows.

It supports both sides of the marketplace through one skill:

  • Candidates ask prompts like найди мне работу, find me a job, or help me get hired; the skill guides them through onboarding, MCP key setup, and the candidate match tools.
  • Employers ask prompts like найди кандидатов, hire developers, post a job, or review applicants; the skill walks through the 19-tool employer MCP surface (job lifecycle, candidate discovery, invitations, applicants review).

Both roles share one skill name (workorai) and one credential helper, with role-aware storage slots so a dual-role user can keep both keys.

Install

Install the skill and write MCP config for supported local agents:

npx @workorai/agent-kit install

Install for one client:

npx @workorai/agent-kit install --agent codex
npx @workorai/agent-kit install --agent claude
npx @workorai/agent-kit install --agent opencode
npx @workorai/agent-kit install --agent cursor
npx @workorai/agent-kit install --agent openclaw
npx @workorai/agent-kit install --agent qwen
npx @workorai/agent-kit install --agent antigravity
npx @workorai/agent-kit install --agent deepcode

Use a local development MCP endpoint:

npx @workorai/agent-kit install --endpoint http://127.0.0.1:3001/mcp

For isolated installer tests, set WORKORAI_AGENT_HOME to a temporary directory:

WORKORAI_AGENT_HOME=/tmp/workorai-agent-home npx @workorai/agent-kit install

After install, restart the agent client and ask:

find me a job

What Is Included

  • skills/workorai/SKILL.md - canonical Agent Skill (thin role router).
  • skills/workorai/agents/openai.yaml - Codex/OpenAI-style UI metadata.
  • skills/workorai/references/
    • candidate-catalog.md - candidate tool mini-schemas
    • candidate-recipes.md - candidate calling-order recipes (incl. the Agent Pick result presentation)
    • candidate-troubleshooting.md - candidate-side error scenarios
    • employer-catalog.md - 19 employer tool mini-schemas
    • employer-recipes.md - hire / review / lifecycle recipes
    • employer-troubleshooting.md - employer-side error scenarios
    • auth-flow.md - candidate and employer onboarding + saved-key flow
    • troubleshooting.md - cross-role MCP transport / saved-key issues
  • skills/workorai/scripts/credential-store.mjs - role-aware consent-based local MCP key storage.
  • bin/workorai-agent.mjs - installer, MCP config writer, diagnostics, and credential command wrapper.

Supported Targets

Agent targetSkill locationMCP config
codex~/.codex/skills/workorai~/.codex/config.toml
claude~/.claude/skills/workorai~/.claude.json
opencode~/.config/opencode/skills/workorai~/.config/opencode/config.json
cursor~/.cursor/skills/workoraiUse WorkorAI MCP config supported by your Cursor setup
openclaw~/.agents/skills/workorai~/.agents/mcp.json
qwen~/.qwen/skills/workoraiConfigure MCP according to your Qwen Code setup
antigravity~/.gemini/antigravity/skills/workoraiConfigure MCP according to your Antigravity setup
deepcode~/.agents/skills/workorai~/.agents/mcp.json
generic~/.agents/skills/workorai~/.agents/mcp.json

The default install command installs a canonical copy at ~/.agents/skills/workorai and links or copies compatible client locations.

Commands

npx @workorai/agent-kit --help
npx @workorai/agent-kit install --dry-run
npx @workorai/agent-kit configure --agent all
npx @workorai/agent-kit print-config --agent codex
npx @workorai/agent-kit doctor --agent all
npx @workorai/agent-kit credential get

Credentials

The skill reads WorkorAI MCP keys role-aware. Default --role is candidate; pass --role=employer for the employer slot.

Candidate read order:

  1. WORKORAI_MCP_API_KEY
  2. OS secret store (account candidate)
  3. Shared local fallback at ~/.config/workorai/mcp-token

Employer read order:

  1. WORKORAI_EMPLOYER_MCP_API_KEY
  2. OS secret store (account employer)
  3. Shared local fallback at ~/.config/workorai/mcp-token-employer

Save with OS storage by default:

npx @workorai/agent-kit credential save                  # candidate (default)
npx @workorai/agent-kit credential save --role=employer

Use best-effort storage for headless agent sessions:

npx @workorai/agent-kit credential save --best-effort --role=candidate
npx @workorai/agent-kit credential save --best-effort --role=employer

Use the shared file fallback only after explicit user consent:

npx @workorai/agent-kit credential save --shared-file --role=<role>

Never put real WorkorAI MCP keys in repositories, screenshots, issue text, or MCP config. Redact keys as wai_[REDACTED].

Skill Hub Compatibility

This repository is structured for direct ingestion by major skill surfaces:

  • GitHub: readable standalone repository with license, security policy, CI, and contribution docs.
  • npm: @workorai/agent-kit CLI package for one-command install.
  • Codex/OpenAI-style skills: canonical folder at skills/workorai plus agents/openai.yaml.
  • Claude Code: standard SKILL.md folder installable into .claude/skills/ or ~/.claude/skills/.
  • OpenCode: standard SKILL.md folder installable into .opencode/skills/, ~/.config/opencode/skills/, or Claude-compatible locations.
  • Cursor: standard SKILL.md folder installable into .cursor/skills/ or ~/.cursor/skills/.
  • Qwen Code: standard SKILL.md folder installable into .qwen/skills/ or ~/.qwen/skills/.
  • Antigravity / Gemini Antigravity: standard SKILL.md folder installable into ~/.gemini/antigravity/skills/.
  • Deep Code / DeepSeek: standard SKILL.md folder installable into .deepcode/skills/ or the shared ~/.agents/skills/.
  • skills.re and similar registries: root skills/ folder with at least one skill directory.
  • Cursor/Windsurf-compatible hubs: canonical SKILL.md folder plus generic MCP config notes in registry/.

Submission notes live in registry/submission-checklist.md.

Candidate Onboarding

When personalized MCP access is not available, the skill guides the user through:

  1. Register and sign in: https://workorai.com/candidate/login
  2. Complete profile: https://workorai.com/candidate/profile
  3. Complete the profile interview and wait for evaluation.
  4. Generate or copy the MCP key: https://workorai.com/candidate/home?tab=mcp
  5. Paste the key into the agent session for immediate candidate.search_jobs use.

Employer Onboarding

When the user asks to hire, post jobs, or review candidates, the skill guides them through:

  1. Sign in: https://workorai.com/employer/login
  2. Open the Employer Dashboard and locate the Employer MCP card: https://workorai.com/employer/dashboard
  3. Generate or copy the MCP key from the card.
  4. Paste the key into the agent session for immediate employer.* tool use.
  5. Save with --role=employer for future hiring searches.

The 19 employer tools cover the full hire-to-review lifecycle. See skills/workorai/references/employer-catalog.md for the mini-schemas and skills/workorai/references/employer-recipes.md for the four calling-order recipes (hire from a specific job, free-form hire, funnel review, pending-invites cleanup) plus the job lifecycle (create → publish → close → archive).

Development

npm run validate
npm run smoke
npm pack --dry-run

npm run smoke installs into a temporary directory only and does not touch user agent config.

Release

  1. Update CHANGELOG.md.
  2. Run validation, smoke, and npm pack --dry-run.
  3. Tag the GitHub release.
  4. Publish npm:
npm publish --access public
  1. Submit the repository URL to relevant skill hubs using registry/submission-checklist.md.

License

MIT. See LICENSE.

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