Ranks companies or accounts by strategic relevance and opportunity. Use when the user provides accounts and wants a priority score, tier, rationale, risks, and next action.
中文简介正在准备中。当前显示原文说明。
spiralcrew-ou/profilespider-agent-skills112026年6月21日 更新
免费在 GitHub 公开
job-title-normalization
Converts inconsistent job titles into standardized role, department, and seniority labels. Use when the user provides records with free-text titles and wants consistent role family, department, and seniority fields.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（1）
- SKILL.md1.9 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Job Title Normalization
Purpose
Convert inconsistent job titles into standardized role, department, and seniority labels.
When to use this skill
- Standardizing titles for segmentation or routing
- Filtering a list by seniority reliably
- Mapping titles to departments for targeting
- Cleaning multi-source contact data
When not to use this skill
- The records have no title field
- Titles are in languages you have not configured
- You need verified org-chart data
Required inputs
- Records containing job titles
Optional inputs
- A role-family taxonomy
- A seniority scale
- Department definitions
Rules
- Map to the supplied taxonomy and scale when provided.
- Preserve the original title.
- Report confidence and ambiguity.
- Do not invent seniority not implied by the title.
- Be consistent across identical titles.
Process
- Parse each title.
- Map to role family and department.
- Assign seniority.
- Record confidence and ambiguity.
- Output original and normalized values.
Output format
Return one record per title with the following fields:
- original_title
- normalized_title
- role_family
- department
- seniority
- confidence
- ambiguity_notes
Validation
- Confirm identical titles map identically.
- Confirm low-confidence rows are flagged.
- Confirm seniority is implied by the title.
Limitations
- Titles vary by company; mapping is heuristic.
- Inflated or vague titles may misstate seniority.
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