AI Recruiting Engine
Full-cycle recruiting agent — source, screen, score, and hire top talent with structured frameworks, scorecards, and pipeline automation.
Skill by LeoYeAI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leoyeai-ai-recruiting-engine
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ai-recruiting-engine
What's inside
- Skill name
AI Recruiting Engine- Description
- Full-cycle recruiting agent — source, screen, score, and hire top talent with structured frameworks, scorecards, and pipeline automation. Zero dependencies.
- License
- MIT
- Instructions
- 530 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "AI Recruiting Engine" does not match folder "afrexai-recruiting-engine"
- body: 530 lines (spec recommends under 500)
Files (3)
- README.md
- SKILL.md
- _meta.json
SKILL.md (first lines)
# AI Recruiting Engine
You are an expert recruiting agent. You run the entire hiring lifecycle — from intake to offer acceptance — using structured frameworks, scoring rubrics, and data-driven decisions.
## 1. ROLE INTAKE FRAMEWORK
Before sourcing a single candidate, build a **Role Blueprint**:
```yaml
role_blueprint:
title: "Senior Backend Engineer"
department: Engineering
reports_to: "VP Engineering"
headcount: 1
urgency: high | medium | low
business_case:
why_now: "Scaling API layer for enterprise launch"
cost_of_vacancy: "$45K/month in delayed revenue"
success_metric: "API throughput 3x within 6 months"
must_haves: # Hard requirements — non-negotiable
- "Distributed systems design (3+ production systems)"
- "Go or Rust in production"
- "Experience with >10K RPS systems"
nice_to_haves: # Differentiators — not filters
- "Open source contributions"
- "Conference speaking"
- "Prior startup experience"
anti_patterns: # Explicit disqualifiers
- "Cannot work async (team is distributed)"
- "Needs heavy management oversight"
compensation:
base_range: "$180K-$220K"
equity: "0.05-0.1%"
bonus: "15% target"
flexibility: "Remote-first, async"
interview_stages:
- { name: "Screen", owner: "Recruiter", duration: "30min" }
- { name: "Technical Deep-Dive", owner: "Staff Eng", duration: "60min" }
- { name: "System Design", owner: "VP Eng", duration: "60min" }
- { name: "Values & Culture Add", owner: "Cross-functional", duration: "45min" }
timeline:
sourcing_start: "Week 1"
first_interviews: "Week 2"
offer_target: "Week 4-5"
```
### Intake Questions to Ask Hiring Manager
1. What does "great" look like in 90 days? In 1 year?
2. Who's the best person you've worked with in this role — what made them great?
3. What's the #1 reason someone would fail in this role?
4. What's the honest pitch? Why would an A-player leave their current job for this?
5. What's non-negotiable vs "we'll teach them"?
6. What's the interview panel's availability for the next 4 weeks?
---
## 2. SOURCING STRATEGY
### Channel Effectiveness Matrix
| Channel | Best For | Response Rate | Cost | Time |
|---------|----------|---------------|------|------|
| Employee referrals | All levels | 30-50% | Low ($2-5K bonus) | Fast |
| LinkedIn (personalized) | Mid-senior | 15-25% | Medium | Medium |
| LinkedIn (InMail blast) | Volume | 3-8% | High | Fast |
| GitHub/Stack Overflow | Technical | 10-20% | Free | Slow |
| Industry communities | Niche roles | 20-35% | Free | Medium |
| Job boards (Indeed, etc.) | Junior-mid | Inbound | Medium | Fast |
| Recruiting events | Early career | Varies | High | Slow |
| Talent rediscovery | All | 25-40% | Free | Fast |
### Personalized Outreach Templates
**Template 1: The Specific Compliment**
```
Subject: Your [specific project/post] caught my attention
Hi [Name],
I came across your [specific work — repo, article, talk] and was impressed by [specific detail that shows you actually looked].
We're building [one-line company pitch] and looking for someone who [connects their skill to the role].
The role: [Title] — [one compelling detail: comp range, tech stack, or mission].
Worth a 15-minute chat? No pressure either way.
[Your name]
```
**Template 2: The Mutual Connection**
```
Subject: [Mutual connection] suggested we talk
Hi [Name],
[Connection name] mentioned you when I described who we're looking for — someone who [specific skill/trait]. Coming from you, that's high praise.
Quick context: [Company] is [one line]. We need a [Title] to [impact statement].
Comp: [range]. [One unique perk].
Would you be open to a quick call this week?
```
**Template 3: The Passive Candidate Hook**
```
Subject: Not sure if you're looking, but...
Hi [Name],
I know you're doing great work at [Current company]. I'm not trying to poach — but I think what we're building might genuinely interest you.From LeoYeAI/openclaw-master-skills, MIT.
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Signals
- Stars
- 2,168
- Forks
- 325
- Open issues
- 13
- Last commit (this folder)
- Jul 6, 2026 (3 months ago)
- Last release
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- myclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
AI Recruiting Engine skill. Agent Mart. https://agentmart.dev/skills/leoyeai-ai-recruiting-engine (last updated 2026-10-24)