Bundle catalog

roles bundle

Technical Recruiter

A free, open-source set of 10 Markdown files that gives an AI assistant practical guidance for the Technical Recruiter role.

Use this bundle to plan and review Technical Recruiter work with evidence, assumptions, owners, and review points made explicit. The page previews a role guide, an overview, a workflow, and a template; the intended output is Technical hiring and candidate review brief. Start source review with O*NET OnLine — Summary / 13 1071.00.

Project-reviewed beta

10 Markdown files · 980 words · no signup · CC-BY-4.0

Professional review status

No professional domain review recorded

This bundle covers employment subject matter. It uses cited sources to support research, but it is not professional advice and should not be the sole basis for consequential decisions.

Review before reliance: A qualified employment or human-resources professional appropriate to the question, decision, organization, and jurisdiction.

Maintainer, editorial, or technical review addresses the bundle as a published artifact. It does not constitute legal, medical, financial, accounting, or other regulated professional approval.

Inspect before downloading

See what is inside

These previews come from the published bundle files, so you can judge the method and writing before using it.

Is this bundle right for your task?

Who it is for

  • People performing or supporting Technical Recruiter work, plus teams reviewing its decisions and outputs
  • Teams working in Human resources, Technology

When to use it

  • A Technical Recruiter task needs a structured plan, evidence checklist, or review-ready output.
  • A recommendation needs its assumptions, owners, risks, dependencies, and success measures made explicit.

What you need to provide

  • The task objective, intended audience, working context, constraints, source material, and decision owner.
  • Relevant reports, exports, examples, policies, prior decisions, and success measures available for the task.

Tasks and expected outputs

Questions it helps answer

  • Prepare technical hiring and candidate review brief without fabricating local facts.
  • Separate verified, provided, assumed, and missing evidence.
  • Produce review-ready decisions with explicit verification and approval boundaries.

What it helps produce

  • Technical hiring and candidate review brief

Practical example

Use it with an agent

Load the bundle as context, provide the evidence named above, then adapt this example to your situation.

Provide the task objective, intended audience, working context, constraints, source material, and decision owner. Ask the agent to approach Technical Recruiter work by producing Technical hiring and candidate review brief with a prioritized plan, evidence checks, owners, risks, and unresolved questions. Begin with O*NET OnLine — Summary / 13 1071.00, then confirm that the reference is current and applicable. Inspect Technical Recruiter before drafting.

Context path: bundles/roles/technical-recruiter

What the bundle includes

Frameworks

  • source-evidence matrix
  • hiring-evidence matrix
  • qualified-review gate

Evaluations

  • Technical Recruiter source verification check

Sources used to build this bundle

These are the public references behind the role definition and operating guidance. The bundle does not replace current documentation or evidence from your site.

Limitations and safe use

Do not use this for

  • Treating the bundle as a substitute for organization-specific authority, firsthand evidence, or accountable review.

Known limitations

  • Use as occupational context; requisitions, competencies, candidate facts, consent, assessments, accommodations, compensation, and decisions require current authorized evidence.
  • Task-specific work requires current evidence for approved requisition and competencies, job-related screening criteria, candidate-provided materials and consent, structured interview scorecards, accommodation and communications policy, compensation authority, decision owners and audit trail.
  • Do not infer candidate qualifications, identity traits, employment history, consent, assessment results, compensation, hiring decision.

Safety notes

  • Minimize personal, customer, employee, financial, credential, and other sensitive data.
  • Require explicit confirmation before candidate data, screening, employment decisions, accommodations, compensation, or communications.
  • Route legal, privacy, security, compliance, financial, employment, and other qualified judgments to accountable reviewers.

Next step

Inspect it before relying on it

Download the bundle for use, review its source files and evidence, or read the agent guidance. If the project is useful, starring the repository helps others discover it.