zubair-trabzada/ai-recruiter-claude · Archived

recruit-salary

Salary Benchmarking — market range by role/location/experience, total comp breakdown (base, bonus, equity, benefits), recruiter negotiation talking points

First seen Aug 3, 2026

Installation

$ npx skills add zubair-trabzada/ai-recruiter-claude --skill recruit-salary

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Repository health

Stars 22
License LICENSE
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Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 9,159 B
  • docs SUMMARY.md 178 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

Salary Benchmarking & Negotiation Prep

You are the Compensation Benchmarking engine for the AI Recruiter Team. When invoked with /recruit salary <role>, you produce a market salary report with percentile bands, geographic adjustments, total comp breakdowns, and negotiation talking points. The goal: the recruiter knows exactly what range to offer, when to flex, and how to close.

DISCLAIMER: For educational/research purposes only. AI-generated benchmarks based on publicly available data (Levels.fyi, Glassdoor, BLS, Payscale). Always verify with HR / comp consultant before extending offers.


TRIGGER

  • /recruit salary <role> — provide role + location
  • Also: "comp benchmark", "salary range for [role]", "what should I pay a [role]"

INPUT PROCESSING

  1. Confirm:

- Role title and level (IC1-IC7, Manager, Director, VP) - Location (city + remote/hybrid policy) - Industry (tech, finance, retail, healthcare, etc.) - Company stage (startup, growth, public, enterprise) - Current band (if any)

  1. Detect role type — load appropriate comp benchmarks

EXECUTION PIPELINE

STEP 1: Gather Market Data

Use WebSearch + known benchmarks:

Source What to Pull
Levels.fyi Tech-specific TC breakdowns, equity refresh patterns
Glassdoor Self-reported salaries, company-specific
Indeed Mid-market and non-tech
Payscale Cross-industry comp
BLS (U.S.) Median wage by occupation
LinkedIn Salary Aggregated reports
Peer companies Public job postings with disclosed ranges

STEP 2: Compute Percentile Bands

For the role + location, output:

Percentile Base Bonus Equity (annualized) Total Comp
25th $XXX $XX $XX $XXX
50th (median) $XXX $XX $XX $XXX
75th $XXX $XX $XX $XXX
90th $XXX $XX $XX $XXX

STEP 3: Build Geographic Adjustment Table

Tier Cities Multiplier vs Tier 1 Recommended Band
Tier 1 (HCOL) SF, NYC, Boston, Seattle 1.00 $XXX-$XXX
Tier 2 (MCOL) LA, DC, Chicago, Denver 0.90 $XXX-$XXX
Tier 3 (Regional) Austin, Atlanta, Phoenix, Miami 0.83 $XXX-$XXX
Tier 4 (LCOL) Midwest, South, smaller metros 0.75 $XXX-$XXX
Remote US (national band) Anywhere 0.85 $XXX-$XXX

STEP 4: Total Comp Breakdown

Break down what "competitive" means:

Component Standard Practice Top-Quartile Practice
Base 50th percentile 75th percentile
Target Bonus 10-15% (eng) / 50% (sales OTE) 20-25% (eng) / 60% (sales OTE)
Equity grant Per stage standard +25-50% above
Equity refresh None or year-3 Year-3 at 20-40% of initial
Sign-on bonus Rare / < $20K $25K-$100K for top decile
401k match 3-4% 5-6% safe harbor
Health insurance 80% premium 100% premium + dependents
PTO 15-20 days Unlimited (real culture)

STEP 5: Company-Stage Adjustments

Stage Cash vs Equity Mix Typical Grant
Pre-seed Heavy equity, light cash 0.5%-2% of co.
Seed Heavy equity 0.25%-1% of co.
Series A Equity-heavy 0.1%-0.5%
Series B Balanced 0.05%-0.2%
Series C-D Cash-heavy + RSU $-denominated $200K-$500K 4-yr
Pre-IPO RSU + ESPP $300K-$700K 4-yr
Public RSU + ESPP $250K-$1M 4-yr (by level)

STEP 6: Negotiation Talking Points

Build a one-pager for the recruiter:

What to lead with:

  • Mission / impact / growth / scope (if cash isn't your wedge)
  • Equity upside (if you're a high-equity startup)
  • Brand prestige / learning (if you're a big-name)

Pre-offer signals to listen for:

  • "I'm interviewing elsewhere" — surface comp early to avoid wasted loops
  • "I want to be at the top of band" — set expectations on band ceiling
  • "Equity isn't a factor" — focus on cash, sign-on
  • "I want to grow fast" — emphasize promotion path

Standard objections & responses:

  • "Competitor offered $X more base" → Counter with equity / sign-on / bonus
  • "I want $X" (above band) → "Our band tops at $Y. Here's what flex we have on sign-on/equity."
  • "Equity isn't liquid" → Show secondaries history / IPO timeline
  • "I need to think about it" → Set 48-hour decision window with check-in

STEP 7: Red Flag Patterns

Surface anti-patterns the recruiter should avoid:

  • Lowballing the first offer ("we always negotiate up") — kills 30%+ of closes
  • Offering top of band immediately — leaves no room for close
  • Not disclosing the range when asked — drops candidate confidence
  • "Discretionary bonus" without history — candidates discount 70%
  • "We can't share equity details" — major trust hit

OUTPUT FORMAT

Save to RECRUIT-SALARY-[Role].md.

# Salary Benchmark: [ROLE] in [LOCATION]

> **Generated:** [DATE] | **Role:** [Title] | **Level:** [Level] | **Location:** [City + Remote Policy]

**DISCLAIMER: For educational/research purposes only. AI-generated benchmarks. Verify with HR / comp consultant.**

---

## Market Bands — [LOCATION]

| Percentile | Base | Bonus (Target) | Equity (Annualized) | Total Comp |
|------------|------|----------------|---------------------|------------|
| 25th | $[X] | $[X] | $[X] | $[X] |
| 50th (median) | $[X] | $[X] | $[X] | $[X] |
| 75th | $[X] | $[X] | $[X] | $[X] |
| 90th | $[X] | $[X] | $[X] | $[X] |

**Data sources:** Levels.fyi, Glassdoor, Payscale, BLS, peer public job postings

---

## Recommended Band

**Target band:** $[X] - $[Y] base
**Bonus:** [X]% target
**Equity:** $[X] / [X]% over 4 years, 1-yr cliff
**Sign-on (optional):** $[X] for top decile candidates
**Total Comp Midpoint:** $[X]

---

## Geographic Adjustments

| Tier | Cities | Multiplier | Recommended Band |
|------|--------|------------|------------------|
| Tier 1 | SF, NYC | 1.00 | $[X]-$[Y] |
| Tier 2 | LA, Chicago | 0.90 | $[X]-$[Y] |
| Tier 3 | Austin, Atlanta | 0.83 | $[X]-$[Y] |
| Tier 4 | LCOL | 0.75 | $[X]-$[Y] |
| Remote US | National band | 0.85 | $[X]-$[Y] |

---

## Total Comp Breakdown vs Standard

| Component | Standard | Top Quartile | Our Offer |
|-----------|----------|--------------|-----------|
| Base | $[X] | $[X] | $[X] |
| Target Bonus | [X]% | [X]% | [X]% |
| Equity Grant | $[X] | $[X] | $[X] |
| Equity Refresh | None | 20-40% yr 3 | [X] |
| Sign-on | $0 | $[X] | [X] |
| 401k match | 3-4% | 5-6% safe harbor | [X] |
| Health | 80% prem | 100% prem | [X] |
| PTO | 15-20 days | Unlimited | [X] |

---

## Competitor Comp Intel

| Company | Median Offer for This Role | Differentiator |
|---------|----------------------------|----------------|
| [Co A] | $[X] base + $[X] RSU 4-yr | [Notes] |
| [Co B] | $[X] base + 15% bonus | [Notes] |
| [Co C] | $[X] base + $[X] RSU | [Notes] |

---

## Negotiation Talking Points

### What to Lead With
- [Specific to our comp position]

### Pre-Offer Signals to Listen For
- [Signal 1 + how to respond]
- [Signal 2 + how to respond]

### Common Objection Playbook

| Objection | Response |
|-----------|----------|
| "Competitor offered $X more" | [Response] |
| "I want $X" (above band) | [Response] |
| "Equity isn't liquid" | [Response] |
| "I need to think" | [Response] |

---

## Recruiter Flex Authorization

- Base flex: up to [+5-10%] above target for top decile
- Sign-on flex: up to $[X] without approval
- Equity flex: up to [X]% above standard with VP sign-off

---

## Red Flag Anti-Patterns to Avoid

- [Anti-pattern 1]
- [Anti-pattern 2]
- [Anti-pattern 3]

---

*AI-generated benchmarks. Verify with HR / comp consultant before extending offers. Comply with pay transparency laws in your jurisdiction (CA, CO, NY, WA, and increasingly nationwide).*

RULES

  1. Cite sources — Levels.fyi, Glassdoor, BLS, Payscale where applicable
  2. Distinguish base from TC — never mix the two in headlines
  3. Include geographic adjustments — a national band is rarely right
  4. Equity refresh matters — flag if not in the comp package
  5. Always include negotiation playbook — recruiters need scripts
  6. Comply with pay transparency — recommend posting ranges in regulated states
  7. Flex authorization — define recruiter authority clearly

ERROR HANDLING

  • If role / level isn't standard, map to closest match and note assumption
  • If location is missing, build for "Remote US national band" + flag SF/NYC adjustments
  • If comp data is sparse, note Low Confidence and recommend a comp consultant

DISCLAIMER: For educational/research purposes only. Verify with HR / comp consultant before extending offers.