recruiting-ops
Use this skill when writing job descriptions, building sourcing strategies, designing screening processes, or creating interview frameworks.
Skill by mkurman
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/mkurman-recruiting-ops
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: design, writing, productivity
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/recruiting-ops
What's inside
- Skill name
recruiting-ops- Description
- Use this skill when writing job descriptions, building sourcing strategies, designing screening processes, or creating interview frameworks. Triggers on job descriptions, candidate sourcing, screening criteria, interview loops, recruiting pipelines, offer management, and any task requiring talent acquisition process design.
- License
- MIT
- Instructions
- 393 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: references/interview-scorecard.md, references/offer-letter-template.md
Files (4)
- README.md
- SKILL.md
- evals.json
- job-description-templates.md · references/
SKILL.md (first lines)
## Key principles
1. **Structured process reduces bias** - Unstructured interviews measure confidence and
likability, not job performance. Every hiring decision should rest on a defined
scorecard with consistent signals evaluated the same way across all candidates.
Standardize questions, calibrate interviewers, and separate data collection from
evaluation to prevent halo effects and affinity bias.
2. **Speed is a competitive advantage** - The best candidates are off the market in
7-14 days. Slow loops, delayed feedback, and scheduling gaps lose top talent to
faster competitors. Measure time-in-stage, eliminate unnecessary interview rounds,
and make offer decisions within 24 hours of a final interview.
3. **Sell while you evaluate** - Every touchpoint is a chance to lose or win a candidate.
Interviewers who show up unprepared, ask hostile questions, or fail to explain the
role's impact drive rejection rates up. Train every interviewer on the pitch: mission,
team, growth path, and why this role matters now.
4. **Data-driven pipeline** - Track conversion rates at every funnel stage. If
application-to-screen rate is high but screen-to-onsite is low, the phone screen is
miscalibrated. If offer acceptance rate is below 80%, the offer or closing process
is broken. Metrics tell you where the process leaks before it costs you headcount.
5. **Candidate experience matters** - Candidates who have a bad experience - ghosting,
rude interviewers, confusing processes - become vocal detractors. Candidates who have
a great experience become fans, even if not hired. Timely communication, clear
expectations, and respectful feedback are the baseline.
---
## Core concepts
### Recruiting funnel
```
Sourced / Applied
|
Screened (resume + application review)
|
Phone / Video Screen
|
Technical / Skills Screen (optional, role-dependent)
|
Onsite / Final Loop
|
Reference Check
|
Offer Extended
|
Offer Accepted
|
Day 1
```
Each stage has a target conversion rate. Deviation from baseline signals a broken
stage, not a broken candidate pool. Track volume and conversion at every gate.
### Sourcing channels
| Channel | Best for | Cost | Time to fill |
|---|---|---|---|
| Employee referrals | Culture fit, passive candidates | Low | Fast |
| LinkedIn Recruiter | Senior / specialized roles | Medium | Medium |
| Job boards (LinkedIn, Indeed, Greenhouse) | High-volume, entry/mid-level | Low-Medium | Fast |
| Niche communities (Discord, Slack, forums) | Technical / domain-specific roles | Low | Slow |
| Recruiting agencies | Executive, urgent, highly specialized | High | Variable |
| GitHub / Dribbble / portfolio sites | Engineers, designers | Low | Slow |
| Conferences and meetups | Senior, passive, community-active talent | Medium | Slow |
**Sourcing rule:** Use at least three channels per role. Referrals should be one channel
but never the only channel - they homogenize the candidate pool.
### Screening criteria
A screening rubric must be defined before outreach begins. It contains:
- **Must-haves:** Hard requirements. Failing any disqualifies. Keep this list short (3-5 items).
- **Strong-to-haves:** Differentiating signals that raise conviction. Not disqualifying.
- **Anti-signals:** Patterns that suggest misalignment with the role or team.
- **Selling points:** What to emphasize to this candidate profile to drive conversion.
**Calibration rule:** Every must-have must be directly tied to a core job responsibility.
"5+ years of experience" is a proxy, not a criterion. Replace proxies with skills
or demonstrated behaviors wherever possible.
### Interview loops
An interview loop maps each competency to an interviewer and a set of defined questions.
No interviewer should evaluate a competency they were not assigned. No competency
should be left unassigned.
```
Loop design steps:
1. List 5-7 competencies required for success in the role.
2. Assign each competency to exactly one interviewer.
3. Write 3-5 behavioral or technical questions per competency.
4. Define what a strong, acceptable, and weak response looks like.
5. Hold a pre-loop calibration with all interviewers before the first candidate.
6. Hold a debrief within 24 hours of each loop. Collect written scores first,
then discuss to prevent anchoring.
```
---
## Common tasks
### Write an inclusive job description
**Template structure:**
```
[ROLE TITLE]
About [Company]:
2-3 sentences. Mission, stage, and what makes this team worth joining.
Avoid superlatives ("best", "world-class"). Use specific, factual claims.
What you will do:
5-7 bullet points. Focus on impact, not activities.From mkurman/zorai, MIT.
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Signals
- Stars
- 325
- Forks
- 24
- Open issues
- 0
- Last commit (this folder)
- May 5, 2026 (5 months ago)
- Last release
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mkurman/zorai
- Website
- zorai.app/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
recruiting-ops skill. Agent Mart. https://agentmart.dev/skills/mkurman-recruiting-ops (last updated 2026-10-24)