SuperAPI AI Directory

resume-screening-consistency-review

Office & productivity

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Updated 10-15 19:55

About this skill

resume-screening-consistency-review Business Diagnosis Assistant

Quick Start

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Overview

The Business Diagnosis Assistant is used to answer "how should this be done", recruitment, resumes, and consistency. It is suitable for human resources, managers, operations, and software to call after clarifying business goals, content materials, or analysis targets. It combines resume summaries and screening records, pasted anonymized resume summaries, screening conclusions, candidate tags, and points of doubt. It organizes key context based on inputs such as these, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables for further execution, review, or delivery.

When to Use

Applicable Scenarios

  • The user raises questions such as "how should this be done" and needs to quickly break down goals, determine priorities, and form actionable results
  • Human resources, managers, operations, and software need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Business Diagnosis Assistant
  • The user has already prepared uploaded resume screening materials (uploaded anonymized resume package, screening form, job requirements, or interview records.), consistency rules and prohibited bases (supplementary scoring rules, sensitive factors that must not be used, evidence standards, and manual review requirements.), and screening criteria links (fill in publicly accessible links to job requirements, competency models, or recruitment process descriptions.), and hopes to organize them into actionable analysis or optimization results
  • The user needs to turn materials related to the Business Diagnosis Assistant into clear conclusions, priorities, and next steps

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Example

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"resumePacketFile":"上传简历筛选资料"}'

Parameter Description

Parameter Type Required Default Description
resumePacketFile string No - Upload anonymized resume package, screening form, job requirements, or interview records
evaluationRuleNotes string No - Supplement scoring rules, sensitive factors that must not be used, evidence standards, and manual review requirements
screeningCriteriaLink string No - Fill in publicly accessible links to job requirements, competency models, or recruitment process descriptions; a complete accessible URL is required
consistencyReviewFocus string No 标准一致 Select the direction that needs the highest priority in this resume screening consistency review; optional values:标准一致、证据充分、偏见风险、复核问题
resumeBatchSummaryText string No - Paste anonymized resume summaries, screening conclusions, candidate tags, and points of doubt
roleRequirementContext string No - Explain the role, level, must-have conditions, preferred items, screening stage, and team preferences

See the complete machine-readable parameter structure in references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional table lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain link fields, pass complete and accessible URLs.

Example Request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"resumePacketFile":"上传简历筛选资料"}'

Equivalent --params JSON:

{
  "resumePacketFile": "上传简历筛选资料"
}

Example of returned results

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

  • Summary, diagnostic conclusions, recommended actions, and reusable deliverables: organize the core results around the user's goals into content that can be directly read, reviewed, or delivered.
  • Interpretation of input materials: combine the uploaded resume screening materials (upload a de-identified resume package, screening sheet, job requirements, or interview records.), consistency rules and prohibited grounds (supplement scoring rules, sensitive factors that must not be used, evidence standards, and manual review requirements.), screening criteria link (fill in a publicly accessible link to the job requirements, competency model, or recruitment process description.) to extract key context and basis for judgment.
  • Next steps: provide priorities, execution recommendations, or a content framework that can be further developed.

Suggestions for using the results

  • First determine whether the output answers the user's core questions about the "Business Diagnostic Assistant".
  • Then check whether the results cover the summary, diagnostic conclusions, recommended actions, and reusable deliverables, and whether clear next steps are provided.
  • If there are few input materials, it is recommended to have the user supplement the goals, audience, constraints, or source materials before running.

Preparation before running

  • AISKILLS_BASE_URL: default https://ai-skills.ai
  • AISKILLS_API_KEY: required, used for authenticated calls
  • AISKILLS_TENANT_ID: default default