Offer analysis
Your AI Job Hunting Team — scores fit, tailors resume, preps interviews, negotiates offers. Built for Claude CLI.
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This skill should be used when the user says "evaluate this offer", "I got an offer from [company]", "compare my offers", "which offer should I take", or "is this offer good". Evaluates single offers against market data and compares multiple offers side-by-side with weighted scoring. Recommends accept/negotiate/walk.
SKILL.md
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/offer-analysis
Usage
/offer-analysis <paste offer details>
/offer-analysis I got an offer from Stripe: $180k base, 50k RSUs...
/offer-analysis compare Stripe vs Google offers
How It Works
┌─────────────────────────────────────────────────────────┐
│ OFFER ANALYSIS │
├─────────────────────────────────────────────────────────┤
│ SINGLE OFFER → Evaluate │
│ - Break down total comp (Y1, Y2, 4-year) │
│ - Compare to market data │
│ - Recommend: accept / negotiate / walk │
│ │
│ MULTIPLE OFFERS → Compare │
│ - Side-by-side table + weighted scoring │
│ - Best/risk/ceiling analysis per offer │
│ - "What you'll regret" for each option │
└─────────────────────────────────────────────────────────┘
Inputs
- Offer details (from user — base, equity, sign-on, benefits, etc.)
- Company and role (one or more)
- knowledge/profile.md — seniority context
- knowledge/negotiation/strategy.md — comp preferences and priorities
- If available: output/[company]/offer-analysis.md for prior evaluations
Part 1: Single Offer Evaluation
1. Offer Breakdown
| Component | Amount | Notes |
|---|---|---|
| Base salary | ||
| Equity/RSUs | Vesting schedule | |
| Sign-on bonus | ||
| Annual bonus | Target % | |
| Benefits | Health, 401k match, etc. | |
| PTO | ||
| Remote/hybrid |
Total comp: Year 1 | Year 2 | 4-year total
2. Market Comparison
How this compares to market for role/level/location. Cite sources (levels.fyi, Glassdoor, Blind). Verdict: Below / At / Above Market.
3. Candidate Alignment
How this maps to priorities from knowledge/negotiation/strategy.md. Does it meet the walk-away threshold?
4. What's Negotiable
What to push on, what to accept, in what order.
5. Recommendation
Accept as-is / Negotiate specific items / Strong negotiate / Walk away — with reasoning.
Part 2: Multi-Offer Comparison (if 2+ offers)
6. Side-by-Side Comparison
| Factor | Offer A | Offer B |
|---|---|---|
| Total comp (Y1) | ||
| Growth trajectory | ||
| Role scope | ||
| ... |
7. Weighted Score (using candidate priorities)
8. Qualitative Analysis
For each: best case, risk case, growth ceiling.
9. Decision Framework
Recommendation by priority lens (comp vs growth vs balance).
10. What You'll Regret
For each option — the thing you might regret in a year.
Output Format
## Offer Analysis: [Company] — [Role]
### Breakdown
| Component | Amount | Notes |
|-----------|--------|-------|
| Base | $X | |
| Equity | $X | 4yr vest, 1yr cliff |
| ... | | |
| **Total Y1** | **$X** | |
### Market Comparison
**Verdict:** At Market
[Reasoning with data sources]
### Alignment with Your Priorities
1. [Priority]: ✅ Met / ⚠️ Partial / ❌ Missing
2. ...
### What's Negotiable
1. [Component] — [typical room at this company]
### Recommendation: **Negotiate specific items**
[One paragraph reasoning]
If Something Goes Wrong
- Incomplete offer details: Ask for what's missing — "What's the equity/bonus structure?"
- Can't find market data: Note the limitation. Provide ranges based on available data.
- User has unrealistic expectations: Flag it honestly — "Market for this role/level is $X-Y."
- Exploding offer (short deadline): Flag the deadline prominently. Draft a time-extension request: grateful tone, specific reason ("finalizing another process"), propose a concrete new date. Note: most deadlines are negotiable by 3-7 days.
After Output
- "Track this offer?
/pipeline-status update [company] offer" - "Want to negotiate?
/negotiatefor counter-offer strategy and scripts" - "Need more company context?
/company-research [company]" - "Ready to decide? Tell me which one and I'll help you respond"
- "Ready to accept? Tell me and I'll draft your acceptance message"
Rules
- Don't just compare numbers — compare trajectories
- Never fabricate market data — cite sources
- Respect the candidate's stated priorities, don't impose your own
- Be honest if an offer is genuinely strong — or genuinely weak
- Flag if expectations are unrealistic for the market