Overview
The HR Professional Assistant is used to answer "how can HR documents be more reliable," HR documents, performance feedback, and job application materials. It is suitable for human resources, managers, operations, and software to call after clarifying business goals, content materials, or analysis targets. It will combine inputs such as role, performance, or job application materials, pasted job descriptions, resumes, performance materials, HR communication drafts, evaluation criteria, or feedback goals, organize key context, and output conversion issue diagnoses, copy and structure suggestions, and experiment checklists, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- Users raise questions such as "how can HR documents be more reliable" and need to quickly break down goals, determine priorities, and form executable results
- Human resources, managers, operations, and software need to generate conversion issue diagnoses, copy and structure suggestions, and experiment checklists around the HR Professional Assistant
- Users have already prepared the processing goal (explain the matching analysis, performance feedback, expression optimization, interview preparation, or risk check to be completed.), relevant roles (explain the candidate, employee, manager, HRBP, interviewer, or communication target.), and job or material links (fill in publicly accessible job, company, policy, or reference material links.), and hope to organize them into executable analysis or optimization results
- Users need to turn HR Professional Assistant-related materials into clear conclusions, priorities, and next actions
How to Call
Call the AI Skills API directly through the exported Python runner:
Command Examples
Basic Call
python3 scripts/run.py --params '{}'
Call with Common Parameters
python3 scripts/run.py --params '{"goal":"处理目标"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | Explain the matching analysis, performance feedback, expression optimization, interview preparation, or risk check to be completed |
audience |
string | No | - | Explain the candidate, employee, manager, HRBP, interviewer, or communication target |
materialUrl |
string | No | - | Fill in publicly accessible job, company, policy, or reference material links; a complete accessible URL must be passed |
materialFile |
string | No | - | Upload resumes, job descriptions, performance records, HR policies, interview materials, or communication drafts |
materialText |
string | No | - | Paste job descriptions, resumes, performance materials, HR communication drafts, evaluation criteria, or feedback goals |
brandRequirements |
string | No | - | Supplement factual basis, sensitive information handling, tone requirements, content that cannot be promised, legal boundaries, or key points for manual review |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
The current skill has no categorical parameters that require additional lookup.
Supported Input Formats
The current skill directly accepts JSON parameters; if the parameters contain link fields, please pass complete, 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 '{"goal":"处理目标"}'
Equivalent --params JSON:
{
"goal": "处理目标"
}
Example of returned result
{
"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
- Conversion problem diagnosis, copy and structure recommendations, experiment checklist: organize the core results that can be directly read, reviewed, or delivered around user goals.
- Interpretation of input materials: combine the processing goal (explain the matching analysis, performance feedback, expression optimization, interview preparation, or risk check to be completed.), relevant roles (explain the candidate, employee, manager, HRBP, interviewer, or communication target.), and job or material links (fill in publicly accessible links to the job, company, policy, or reference materials.) to extract key context and the basis for judgment.
- Next steps: give priorities, execution recommendations, or a content framework that can be further processed.
Suggestions for using the results
- First determine whether the output answers the user's core question about the "HR Professional Assistant".
- Then check whether the results cover the conversion problem diagnosis, copy and structure recommendations, experiment checklist, and whether clear next steps are given.
- If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation before running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault