candidate-evaluation
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
npx skills add majiayu000/claude-skill-registry --skill candidate-evaluation-pollinations-pollinations-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Candidate Evaluation Skill Evaluate GitHub contributors for engineering roles at Pollinations. ## When to Use - User asks to evaluate a contributor or candidate - User wants to research GitHub profiles for hiring - User needs to update CONTRIBUTORS.md with candidate analysis - User mentions "hiring", "candidate", "MLOps", or "evaluate contributor" ## Evaluation Criteria ### Must-Have Skills (Weight: High) - **Python**: Primary language proficiency - **DevOps**: Docker, CI/CD, infrastructure - **GPU/ML Deployment**: Model serving, inference optimization ### Nice-to-Have Skills (Weight: Medium) - Kubernetes, vLLM, TGI - Quantization (GGUF, ONNX) - CI/CD pipelines (GitHub Actions) ### Work Style Indicators (Weight: Medium) - PR size preference (small, focused = good) - Response time to reviews - Documentation quality - Test coverage habits ## Evaluation Process 1. **Gather Data** via GitHub MCP or `gh api`: ```bash # Get user repos gh api users/{username}/repos --jq '.[].name' # Search PRs in pollinations gh api search/issues -X GET -f q='repo:pollinations/pollinations author:{username}' # Search code for MLOps keywords gh api search/code -X GET -f q='user:{username} docker OR kuber
- When to Use
- Evaluation Criteria
- Must-Have Skills (Weight: High)
- Nice-to-Have Skills (Weight: Medium)
- Work Style Indicators (Weight: Medium)
- Evaluation Process
- Output Format
- Skills Matrix Format
- Reference Files
- Example Queries
gh api users/{username}/repos --jq '.[].name'
gh api search/issues -X GET -f q='repo:pollinations/pollinations author:{username}'
gh api search/code -X GET -f q='user:{username} docker OR kubernetes OR gpu OR vllm'What does the candidate-evaluation skill do?
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill candidate-evaluation-pollinations-pollinations-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.