An intelligent AI agent skill that refines resumes by aligning project narratives and technical skills with specific Job Descriptions using the STAR framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-optimization
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install resume-optimization using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Resume Optimizer?
Resume Optimizer is a sophisticated technical assistant designed to transform standard resumes into high-impact career documents. By analyzing the intersection between a user's authentic experience and the specific requirements of a target Job Description, it ensures that professional narratives are both clear and compelling. Unlike generic tools, this skill focuses on the professional optimization of expression, ensuring that technical achievements are highlighted without ever compromising integrity or fabricating data.
Built to integrate seamlessly with Openclaw Skills, the agent acts as a career consultant. it identifies high-frequency keywords, bridges terminology gaps, and restructures project descriptions into data-driven STAR (Situation, Task, Action, Result) narratives. This approach significantly improves ATS compatibility and recruiter engagement for developers and high-tech professionals.
Resume Optimizer Use Cases
- Aligning technical resumes with specific high-tier engineering Job Descriptions.
- Rewriting vague project bullet points into quantitative achievements using the STAR method.
- Performing gap analysis to identify missing technical skills required for a target role.
- Converting informal experience descriptions into professional, industry-standard terminology.
How Resume Optimizer Works
- The user inputs their existing resume (text or document) and the target Job Description (JD).
- The skill parses the resume to extract core competencies, work history, and project-based technical stacks.
- It performs a semantic analysis of the JD to prioritize mandatory versus preferred qualifications.
- It calculates a matching score based on keyword density and experience relevance within the Openclaw Skills framework.
- The agent provides a structured report including specific rewrite suggestions, skill level adjustments, and personalized learning paths to address identified gaps.
Resume Optimizer Setup
To deploy the resume-optimizer in your local environment, use the standard CLI commands provided by the ecosystem. Ensure your agent has permission to access file paths if you are processing PDF or Word documents.
# Add the skill to your agent configuration
openclaw add skill resume-optimizer
# Run the analyzer with a local JD file and resume
openclaw run resume-optimizer --resume ./my_resume.txt --jd ./target_job.txt
Resume Optimizer Data Schema & Taxonomy
The skill organizes analysis into a structured metadata format for easy review. The following table describes the data points generated during a session:
| Metadata Field | Description | Type |
|---|---|---|
| overall_match_score | Weighted percentage of alignment between resume and JD | Integer (0-100) |
| keyword_delta | List of missing keywords found in JD but absent in resume | Array |
| star_optimization | Mapped blocks of original vs. optimized project descriptions | Object |
| skill_taxonomy | Classification of skills into Expert, Proficient, and Familiar | Table |
| action_plan | Recommended learning resources for missing competencies | List |
Resume Optimizer Advanced Features
- Intelligent STAR Framework Rewriting: Automatically structures project descriptions to highlight quantitative results and personal contributions.
- Ethical Boundary Guardrails: Explicitly prevents the fabrication of experience and warns users about the risks of over-embellishment.
- Transferable Skill Identification: Maps experience from one domain to another using cross-industry Openclaw Skills terminology.
- Dynamic Skill Leveling: Suggests the correct proficiency level (e.g., Proficient vs. Familiar) based on the depth of project history.
SKILL.md
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