A set oftarget job JD -oriented AI resume creation toolset. It includes 5 specialized sub-Skills, covering the entire workflow from material mining, resume creation, polishing and optimization, quality assessment, to format conversion.
Core Concepts
Create resumes for a JD: Use the target job JD as the sole benchmark, so that every piece of resume content can hit the needs of the target position.
- JD First: All content is developed around the competency model of the target position
- Anti-hallucination: All output is based on the user's real materials, never fabricated
- No content loss: format only adjusts the format, without modifying the original content
- Independently usable: The 5 Skills can be orchestrated in sequence or called individually
Sub-Skill List
| Skill | Command | Purpose | When to use |
|---|---|---|---|
| dig | /resume-dig |
Deeply mine the user's experience and highlights for a JD | When the user wants to prepare resume materials from scratch |
| generate | /resume-generate |
Create a brand-new resume from mined materials | After dig is completed and there is sufficient material |
| polish | /resume-polish |
Optimize and polish based on an existing resume | When the user already has a resume and wants to improve it |
| review | /resume-review |
Resume quality diagnosis and assessment | When you want to know whether the resume is good and where the problems are |
| format | /resume-format |
Template-adapted format conversion | When you want to render a template on the resume-builder platform |
Recommended Paths
Path A: Deep Mode (start from scratch, best quality)
/resume-dig → /resume-generate → /resume-review → /resume-polish(如有问题) → /resume-format
- Suitable for: Users who do not yet have a resume and want to seriously prepare a high-quality resume
- Description: First deeply explore experience and highlights through dialogue, then create a resume based on the materials, and finally perform quality review and formatted output
Path B: Quick Mode (have an old resume, optimize quickly)
/resume-polish → /resume-review → /resume-format
- Suitable for: Users who already have a resume and want to quickly optimize it for a target position
- Description: Directly polish the existing resume, then review and format the output
- Want better results: It is recommended to take Path A, first
/resume-digsupplement materials and then/resume-generaterebuild
Path C: Single-point Use (call as needed)
- Only want to assess resume quality →
/resume-review - Only want to optimize a certain resume →
/resume-polish - Only want to convert to standard format →
/resume-format
Recommended chain rules (the next-step suggestions given after each Skill is completed)
dig 完成后:
→ "素材收集完毕。建议使用 /resume-generate 从素材创作简历。"
generate 完成后:
→ "简历已生成。建议使用 /resume-review 检查质量。"
polish 完成后:
→ "简历已优化。建议使用 /resume-review 评估效果。"
review 发现问题:
→ "发现 N 个问题。建议使用 /resume-polish 进行修正。"
review 发现素材不足:
→ "简历内容偏薄。建议使用 /resume-dig 挖掘更多素材,再用 /resume-generate 重新创作。"
review 通过:
→ "质量良好!建议使用 /resume-format 转换格式,然后在 resume-builder.com 选择模板渲染。"
format 完成后:
→ "格式转换完成。你可以在 resume-builder.com 注册后选择模板渲染预览。"
Quick Start
- Youhave a target job JD and want to prepare seriously → Start from
/resume-digStart - Youalready have a resume and want to optimize quickly → Start from
/resume-polishStart - Youonly want to see whether the resume is good → Use
/resume-review
Relationship with the resume-builder.com platform
- This toolset isopen-source Skill, and can be used with any Agent that supports the Skill protocol
/resume-formatoutputstandard formatcan be used on resume-builder.com to freely render multiple templates- The platform also provides more enhanced capabilities:
- Long-term memory: The more you use it, the better it understands your resume preferences and material library
- Intelligent orchestration: Automatically select and chain suitable Skills
- Interviewer Agent: Conduct mock interviews and provide feedback based on the resume