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davila7 on GitHub

WorkorAI

Free

Streamlined job search and hiring through WorkorAI.

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Free · Opens the source repo

What WorkorAI does

WorkorAI is a skill designed to facilitate workflows within the WorkorAI talent marketplace, leveraging the WorkorAI MCP server. This skill caters to both candidates seeking job opportunities and employers looking to hire talent. By intelligently routing user intents, it simplifies the process of job searching and candidate evaluation, making it easier for users to navigate the complexities of the job market.

For candidates, the skill allows for seamless job discovery and application processes. Users can initiate job searches, apply to positions, and manage invitations from employers. The skill provides a structured flow that guides candidates through the necessary steps, ensuring they have the tools needed to enhance their job search experience. Each interaction is tailored to the user's language and intent, making it user-friendly and efficient.

Employers benefit from the skill's capabilities to post jobs, search for candidates, and evaluate potential hires. The skill utilizes a detailed matching system that explains how candidates are ranked based on their qualifications and skills. This transparency is crucial for employers, as it allows them to make informed decisions when selecting candidates. The skill also supports managing applications and invitations, streamlining the hiring process.

Overall, WorkorAI is an essential tool for both job seekers and employers, providing a comprehensive solution for navigating the talent marketplace effectively. It focuses on delivering clear, actionable insights and facilitating meaningful connections between candidates and employers.

When to use it

Use this skill when you need to find a job, apply to positions, or when hiring and evaluating candidates through the WorkorAI platform.

When not to use it

This skill is not suitable for generic career advice, resume writing, or interview coaching outside the WorkorAI context.

What you can build with it

Searching for a Job

Candidates can use WorkorAI to quickly search for job openings and apply directly through the platform.

Hiring Candidates

Employers can post job listings and search for qualified candidates, receiving detailed match explanations to aid in decision-making.

Managing Applications

Both candidates and employers can efficiently manage job applications and invitations, streamlining the hiring process.

How to install WorkorAI

View source

1. Install with the skills CLI

npx skills add davila7/claude-code-templates/workorai --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by davila7

WorkorAI

Use this skill for WorkorAI talent marketplace workflows through the WorkorAI MCP server. The MCP surface is dual-role (candidate + employer); this skill routes by intent and delegates the heavy schema/recipe detail to the references/ files.

Trigger Mapping

  • Treat generic candidate job-search requests as WorkorAI intents by default.
  • Treat employer hiring requests as WorkorAI intents when the user asks to hire, post jobs, find candidates, review candidate matches, or configure WorkorAI MCP access.
  • Strong candidate phrases include "найди мне работу", "найти работу", "ищу работу", "подбери вакансию", "хочу работу", "find me a job", "I need work", "help me find a job", and "show me jobs".
  • Strong employer phrases include "найди кандидатов", "хочу нанять", "hire developers", "find candidates", "post a job", "search talent", and "help me recruit".
  • Do not wait for the user to say "WorkorAI", "MCP", or "API key".
  • Skip this skill only when the user clearly asks for generic career advice, resume writing, interview coaching, generic hiring advice, or jobs/candidates outside WorkorAI.

First Response — Role Decision

  1. Decide role from the user's intent. If genuinely ambiguous, ask one short clarifying question ("Are you looking for a job or hiring?") — do not run candidate and employer flows in parallel.
  2. Candidate intent: read references/candidate-catalog.md, references/candidate-recipes.md, and references/auth-flow.md. Run the candidate flow: discover (candidate.search_jobscandidate.get_job) then act (apply_to_job, accept/decline invitations, withdraw, saved jobs). Edge cases: references/candidate-troubleshooting.md.
    • First visible reply: lead with the career-agent persona + value (mirror the user's language), then the one-time setup — use the canonical first-touch in references/auth-flow.md ("What To Say First (Candidate)"). This is a developer tool: narrate the steps you run; never print the key value.
  3. Employer intent: read references/employer-catalog.md, references/employer-recipes.md, and the employer sections of references/auth-flow.md. Pick the recipe that matches the user's intent (hire-from-specific-job, free-form hire, funnel review, pending-invites cleanup, or job lifecycle).
    • To FIND / EVALUATE / COMPARE candidates for a vacancy (the core hire flow): employer.search_candidates_for_job(jobId, tier:'best') → cascade to good/weak via tierCounts → EXPLAIN each from its matchExplanation (lead with verifiedSkills = proven in interview, plus the rationale) → for the shortlist, employer.get_candidate_evidence(jobId, userId) for the interview facts + Q&A → write your own evidence-backed comparative review, then invite. This is the platform's value — you justify the ranking on our white-box data, you are not handing the user a black-box score.
  4. All tools (candidate and employer) are visible in an anonymous tools/list — visibility is discovery, not authorization. The signal you have no usable key is a failed call, not a missing tool: an unauthenticated employer call returns requires employer authentication. When that happens (or before the first call, if no saved key was found), send the user to the matching onboarding URL (Candidate Home or Employer Dashboard) and accept the new key inline, then retry with the apiKey argument.
  5. Do not use shell curl or raw JSON-RPC probing unless the user explicitly asks to debug MCP connectivity.

Saved Key Behavior

  • Resolve scripts/credential-store.mjs relative to this SKILL.md.
  • Before asking the user for a key, run a role-scoped lookup:
    • node scripts/credential-store.mjs get --role=candidate
    • node scripts/credential-store.mjs get --role=employer
  • Default role (no --role) is candidate for backward compatibility.
  • If a saved key is returned, do not print it. Use it only as the apiKey argument for tools in the matching role.
  • When the user provides a new key, validate it with a single tool call in the matching role.
  • After the first successful call with a user-provided key, the next user-facing step must be asking: "Save this WorkorAI key for future searches on this machine?"
  • Save with node scripts/credential-store.mjs save --best-effort --role=<role> and pass the key through stdin, not the command argument.
  • Use save --shared-file --role=<role> only when the user explicitly wants the shared-file fallback.
  • Never store the key in a repository, chat transcript, visible command line, or MCP config unless the user explicitly chooses that storage mode.
  • Redact WorkorAI keys in user-visible output as wai_[REDACTED].

Candidate Quick Path

  • Onboarding URL chain: https://workorai.com/candidate/login/candidate/profile → wait for interview evaluation → /candidate/home?tab=mcp to copy the MCP key.
  • Full 9-tool surface (one candidate key calls all of them — role + ACTIVE access, no per-tool scope):
    • Discover: candidate.search_jobscandidate.get_job.
    • Apply: candidate.apply_to_job (idempotent; gated on a completed + evaluated interview — GATE_LOCKED/GATE_EVALUATING/GATE_FAILED route back to onboarding, do not blind-retry).
    • Invitations: candidate.accept_invitation (→ APPLIED) / candidate.decline_invitation (TERMINAL — blocks re-invite; confirm first). See what's pending with candidate.get_applications.
    • Manage: candidate.withdraw_application (soft exit, re-invitable), candidate.set_saved_job (desired-state, NOT a toggle) / candidate.get_saved_jobs (PUBLISHED-only).
  • Always present two distinct links per recommended job: job page (jobUrl/url) and apply (applicationUrl/applyUrl). Never show apply-only.
  • Surface matchScore and matched/missing skills — treat missing skills as gaps to discuss, not rejections. (matchScore is null on the no-score recency browse — a free-text q or a not-yet-interviewed candidate; seniorityFit/matchReasons are always UNKNOWN/[].)
  • Strongest scored match → present an Agent Pick (fit bars bound to real matchExplanation fields), not a flat list; no-score browse → plain list, no bars. See references/candidate-recipes.md Recipe 6.
  • Treat raw jobId as internal/debug metadata unless the user asks for it.
  • Mini-schemas: references/candidate-catalog.md. Recipes: references/candidate-recipes.md. Edge cases: references/candidate-troubleshooting.md.

Employer Quick Path

  • Key issuance URL: https://workorai.com/employer/dashboard (Employer MCP card on the page).
  • Hire recipe: employer.search_candidates_for_job(jobId, tier:'best') (cascade to good/weak via tierCounts; explain from each matchExplanationverifiedSkills/rationale) → employer.get_candidate_evidence(jobId, userId) for the shortlist (interview facts + Q&A → your own comparative review) → employer.get_candidate(userId) (inspect existingApplications) → employer.invite_candidate(jobId, candidateUserId). Track with employer.list_invitations(jobId) and later employer.list_applicants(jobId).
  • Free-form hire: employer.search_candidates_by_query(query) → pick or create a vacancy → invite.
  • Review funnel: employer.list_applicants(jobId)employer.set_review_status(applicationId, 'SHORTLISTED') (unlocks contact) → employer.get_applicant_detail(applicationId) and optional employer.get_applicant_transcript.
  • Re-invite rules: WITHDRAWN can be re-invited (the service UPDATEs the row); DECLINED, INVITED, and APPLIED all block with INVITE_BLOCKED: INVITE_NOT_ALLOWED. Always call employer.get_candidate first when the candidate has any prior interaction.
  • Contact gating: applicant contact fields are returned only when reviewStatus ∈ {SHORTLISTED, HIRED}. Below that, fields are null.
  • employer.create_job is synchronous and takes 5-30 s (Gemini parse). On client timeout, do NOT resubmit rawText — recover via employer.list_jobs({ status: 'DRAFT' }) and pick the newest row.
  • Full mini-schema: references/employer-catalog.md. Recipes: references/employer-recipes.md. Edge cases: references/employer-troubleshooting.md.

References

Read on demand based on intent:

  • references/candidate-catalog.md — candidate tool mini-schemas (9)
  • references/candidate-recipes.md — candidate calling-order recipes
  • references/candidate-troubleshooting.md — candidate-side error scenarios
  • references/employer-catalog.md — employer tool mini-schemas (19)
  • references/employer-recipes.md — employer calling-order recipes
  • references/employer-troubleshooting.md — employer-side error scenarios
  • references/auth-flow.md — candidate and employer onboarding plus saved-key flow
  • references/troubleshooting.md — general / cross-role MCP issues

Frequently asked questions about WorkorAI

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