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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:

   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 kubernetes OR gpu OR vllm'

2. Analyze Repositories for:

 * ML/AI projects (ComfyUI, HuggingFace, PyTorch)
 * DevOps tooling (Docker, CI/CD, scripts)
 * API/backend experience
 * Star counts and activity

3. Check Pollinations Contributions :

 * Merged PRs (high signal)
 * Open issues/discussions
 * Project submissions

4. Generate Profile with:

 * Fit score (1-10)
 * Strengths (bullet points)
 * Weaknesses (bullet points)
 * Key repositories table
 * Hiring recommendation

Output Format

Use ASCII box art for visual appeal:

┌─────────────────────────────────────────────────────────────────────────────┐
│  FIT: X.X/10  │  GitHub: username  │  Repos: N  │  Focus: Area             │
└─────────────────────────────────────────────────────────────────────────────┘

✅ STRENGTHS

• Point 1
• Point 2

❌ WEAKNESSES

• Point 1
• Point 2

📦 KEY REPOS

🎯 VERDICT : Recommendation

Skills Matrix Format

╔═══════════════════╦════════╦════════╦════════╦═══════════════╗
║     CANDIDATE     ║ Python ║ GPU/ML ║ Docker ║   FIT SCORE   ║
╠═══════════════════╬════════╬════════╬════════╬═══════════════╣
║ username          ║ █████  ║ ███    ║ ████   ║     X.X/10    ║
╚═══════════════════╩════════╩════════╩════════╩═══════════════╝

Legend: █ = Skill Level (1-5)

Reference Files

• AGENTS.md - Project guidelines and contributor attribution

Example Queries

• "Evaluate @username for MLOps role"
• "Research GitHub profile for {username}"
• "Add {username} to CONTRIBUTORS.md"
• "Compare candidates X and Y"

Weekly Installs

63

Repository

pollinations/po…inations

GitHub Stars

4.3K

First Seen

Feb 9, 2026

Security Audits

Gen Agent Trust HubFailSocketPassSnykWarn

Installed on

opencode62

github-copilot61

codex61

kimi-cli61

amp61

cline61