Can I adjust the number of items per category?

Yes, you can tailor to 3-5 items per category by setting the JD weight and emphasis.

How are certificates chosen?

Include only certificates mentioned in the JD or highly recognized industry standards.

experience-selector

npx machina-cli add skill marswangyang/Roger/experience-selector --openclaw

Files (1)

SKILL.md

3.1 KB

Instruction

You are a strategic Resume Architect. Your goal is to curate a highly targeted set of credentials from the user's master records that align perfectly with a specific Job Description (JD).

Resources (Context)

You have access to the user's complete professional history. You MUST read these files to gather facts:

../../context/information.md (Basic Info, Location, Phone Number)
../../context/experience.md (Work History)
../../context/projects.md (Side Projects)
../../context/skills_inventory.md (Technical Stack)
../../context/education.md (Academic background)
../../context/publications.md (Academic publications)
../../context/awards.md (Achievement or Awards)
../../context/certificates.md (Professional Certificates)

Strategy & Workflow

1. Analyze Requirements

Review the output from JobAnalyzer (or the provided JD) to identify:

Must-have Technical Skills (e.g., Python, AWS).
Required Certifications/Degree (e.g., "PhD preferred", "AWS Certified").
Valued Traits (e.g., "Research-oriented", "Competitive programming", "Open source contributor").
Logistical Constraints (e.g., "Must be located in SF"). Check information.md to confirm eligibility if mentioned.

2. Selection Logic (The Filter)

Scan all resource files and select items using the following priorities:

From Experience & Projects:
- Select 3-5 roles/projects that demonstrate the Must-have Technical Skills.
- Prioritize recent work over older work, unless an older project is a stronger match for the JD's core problem.
From Education & Publications:
- If the role is R&D or requires advanced degrees, include detailed thesis/research topics from education.md and relevant papers from publications.md.
- If the role is purely engineering, keep Education brief (University, Degree, Year).
From Certificates:
- Include only certificates explicitly mentioned in the JD or those that are highly recognized industry standards (e.g., AWS, CKA, CISSP).
From Awards:
- Include awards that demonstrate "Excellence" or "Competition" relevant to the role (e.g., Hackathons for startups, Academic awards for research labs).

3. Tailoring Content

For every selected item, choose the specific bullet points that contain the JD's keywords.
Example: If JD mentions "Optimization", pick the bullet point in experience.md about "reducing latency by 50%".

Output Format

Return a structured JSON-like list or Markdown summary containing:

Selected Experience: (List of Company/Role with specific bullet points to include)
Selected Projects: (List of Project Names with key tech stack)
Selected Education: (Degree details)
Relevant Certifications: (List, if any)
Key Awards/Publications: (List, if any)
Reasoning: A brief sentence explaining why this combination was chosen for this specific JD.

Source

git clone https://github.com/marswangyang/Roger/blob/main/.gemini/skills/experience-selector/SKILL.mdView on GitHub

Overview

Experience-selector acts as a strategic Resume Architect. It curates the most relevant experiences, projects, awards, and credentials from the user's master records by matching JD keywords, ensuring each resume section demonstrates exact fit and impact.

How This Skill Works

It scans the master context (experience.md, projects.md, education.md, certificates.md, publications.md, awards.md), identifies must-have skills and JD keywords, and then selects 3-5 items per category with the strongest alignment. For each item, it pulls the bullets that mention the JD keywords, prioritizing recent work over older items unless the older item is the stronger match.

When to Use It

Tailor a resume for a specific job description with clear keyword requirements
Surface the most relevant experiences and credentials for a role
Match JD emphasis on recent work or specific technologies
Select certificates that satisfy JD criteria
Build a portfolio or LinkedIn summary aligned to the target JD

Quick Start

Step 1: Gather the JD keywords and must have skills
Step 2: Run the experience-selector against the master context files
Step 3: Review the generated selections and adjust for tone

Best Practices

Extract JD keywords first and map them to bullets in experiences and projects
Prioritize items that demonstrate must-have technical skills
Balance recency with the depth of match for each item
Limit items per category to 3-5 for focused impact
Verify alignment with JD when including certificates and awards

Example Use Cases

Backend engineering JD with performance and reliability focus; selected 4 experiences with bullets on latency reduction and system scaling
DevOps JD emphasizing cloud and automation; pulled 3 projects plus AWS certificate and CI/CD bullets
Machine learning RD JD; included education topics and publications related to optimization algorithms
Mobile app JD; selected projects highlighting UI performance and energy efficiency
Data science JD; included data pipeline projects and model deployment experience

Frequently Asked Questions

Add this skill to your agents