raise-vs-jump
Model staying for annual raises vs job-hopping for bigger bumps — cumulative earnings trajectories, the crossover year, and the costs the salary math hides (vesting resets, promotion paths, search risk). Use when asked should I switch jobs for more money, is job hopping worth it, model my salary if I stay vs leave, or raise versus new offer. Produces the year-by-year salary and cumulative-earnings table, the crossover year, and the not-in-the-model checklist that usually decides it.
npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Raise vs Jump Skill "Job hoppers earn more" is true on salary and incomplete on everything else: equity that vests on a cliff you keep resetting, the promotion you were two quarters from, the months of search time, the reputation cost of a short-stint résumé. This skill runs the salary math properly — trajectories, not single offers — and then insists on the checklist of what the salary math can't see, because that checklist decides more of these choices than the compounding does. ## What This Skill Produces - **The trajectory table** — year-by-year salary and cumulative earnings for both paths - **The crossover year** — when cumulative jump-earnings pass cumulative stay-earnings - **The gap at horizon** — final salary gap and cumulative gap, on stated assumptions - **The not-in-the-model checklist** — scored for this user's actual situation ## Required Inputs Ask for these if not provided: - **Current salary** and **realistic stay-raise %** — their employer's actual recent raises, not the poster in the break room (default 3%, labeled) - **Jump assumptions** — bump per jump (default 15%), years between jumps (default 3), raises between jumps (default 2% — jumpers often land at th
- What This Skill Produces
- Required Inputs
- Programmatic Helper
- Framework: What the Salary Math Hides
- Output Format
- The Trajectories
- What the Table Says
- The Checklist the Table Can't See
- The Honest Read
- Quality Checks
- Anti-Patterns
python3 scripts/raise_vs_jump.py --salary 120000 python3 scripts/raise_vs_jump.py --salary 120000 --stay-raise 3.5 --jump-bump 18 --jump-every 3 --json
What does the raise-vs-jump skill do?
Model staying for annual raises vs job-hopping for bigger bumps — cumulative earnings trajectories, the crossover year, and the costs the salary math hides (vesting resets, promotion paths, search risk). Use when asked should I switch jobs for more money, is job hopping worth it, model my salary if I stay vs leave, or raise versus new offer. Produces the year-by-year salary and cumulative-earnings table, the crossover year, and the not-in-the-model checklist that usually decides it.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.