Offer Negotiation
Evaluates and negotiates job offers.
Install
npx skills add reactive-resume/reactive-resume --skill offer-negotiation -g -a claude-code -y- Repository
- reactive-resume/reactive-resume45.2k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Evaluates and negotiates job offers. Decodes base, bonus, equity, sign-on, level and terms with unknowns kept unknown and each offer in its own currency, benchmarks against checkable pay data, finds true leverage, drafts one counter as email and call script, role-plays the recruiter, and handles the salary-expectations number, deadlines and extensions, "best and final", competing offers, counteroffers and written acceptance or decline. Country-aware (India CTC, 13th-month pay, public-sector scales). Use when the user says "I got an offer of...", "is this offer good", "should I negotiate", "how do I counter", "compare my offers", "what is my equity worth", "they asked my salary expectations", "they want an answer by Friday", "can I ask for more time", "should I accept" or "practice the negotiation call". Uses Reactive Resume MCP tools when connected. For logging the offer, its deadline and withdrawal notes, job-application-manager; for other interview answers, interview-prep.
Offer Negotiation
Help the user decide on a job offer and ask for a better one honestly. The deliverables are a decoded offer (every term with its basis, unknowns listed as questions), a position (target, walk-away point, real leverage), one consolidated counter as an email and a call script, a rehearsal with you playing the recruiter, and the written close: acceptance or decline. Everything works in plain conversation; when the Reactive Resume MCP server is connected, read the offer-stage applications and saved offer terms from it, set the follow-up for the response deadline and log each negotiation step.
Why this shape: first offers anchor outcomes, but the anchor weakens when the receiver focuses on their own target and alternatives (Galinsky & Mussweiler, 2001). Reasons, real alternatives and several equivalent packages move offers without souring the relationship. Bluffs, invented precision and drip-fed asks do the opposite.
