Agent skill

Raise Vs Jump

by mohitagw15856 in mohitagw15856/pm-claude-skills

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…

MITAuto-check passed

Install Raise Vs Jump

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills raise-vs-jump --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/raise-vs-jump .claude/skills/raise-vs-jump && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
raise-vs-jump
GitHub stars
1.4k
Token cost
~1.2k tokens
SKILL.md length
633 words
Files
3 (incl. scripts, references)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Asked should I switch jobs for more money
  • SKILL.md covers What This Skill Produces, Required Inputs, Programmatic Helper and Framework: What the Salary…, plus 8 more sections
  • Runs Python scripts from its folder; calls python3
  • Is job hopping worth it

What it does

Raise Vs Jump is an agent skill from mohitagw15856/pm-claude-skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/worked-example.md` and `scripts/raise_vs_jump.py`).

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked should I switch jobs for more money
  • Is job hopping worth it
  • Model my salary if I stay vs leave
  • Raise versus new offer

Example prompts

  • “/raise-vs-jump”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Raise Vs Jump loads about 1.2k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 633 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 633 words, ~1,234 tokens.

Download SKILL.mdSave it as .claude/skills/raise-vs-jump/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
raise-vs-jump
description
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.

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 the top of a band and stall)
  • The invisible items — unvested equity and its schedule, pension/tenure benefits, promotion proximity, how they'd handle a search

Programmatic Helper

bash
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

Deterministic. Models salary only — the script prints its own not-modeled list, and the skill's job is to make that list concrete for the user.

Framework: What the Salary Math Hides

  • Vesting resets are the jump tax — walking away from unvested equity and restarting a cliff is often worth more than the bump; compute it in dollars, not vibes
  • The stay path has step functions too — a promotion is a 10–20% event; if one is genuinely close (named role, named timeline — not a vague "soon"), model it as a stay-side jump
  • Raises between jumps sag — new hires land high in the band and then stall; that's the --jump-year-raise 2 default, and it's why the crossover is later than the first bump suggests
  • Search risk is asymmetric — a jump that takes 4 months of search or ends in a bad fit erases years of edge; weight it by how in-demand the user actually is
  • Three jumps is a pattern — recruiters read tenure; the strategy that maximizes 5-year earnings can shrink 15-year options

Output Format


Raise vs Jump: [scenario]

Show full SKILL.md (255 more words)Show less

The Trajectories

[Script output: year-by-year table, crossover year, gaps at horizon]

What the Table Says

[Two sentences: the size of the pure-salary edge and how sensitive it is to the bump/raise assumptions.]

The Checklist the Table Can't See

ItemThis userWeight
Unvested equity walked away from[$ and schedule][often decisive]
Promotion proximity on the stay path[named role/timeline or "vague"]
Search risk[in-demand? runway?]
Résumé pattern[tenure history]

The Honest Read

[One paragraph: what the numbers plus the checklist actually suggest — a recommendation with its reasoning, not a dodge.]

Educational model, not financial or career advice — the checklist items are prompts for the user's judgment, not scores from the model.


Quality Checks

  • Trajectories and crossover shown — never just "the offer is 15% more"
  • Unvested equity is computed in dollars if it exists
  • A genuinely-close promotion is modeled, a vague one is named as vague
  • The honest read takes a position with reasoning
  • The disclaimer line appears in the artifact

Anti-Patterns

  • Do not compare a single offer number to a single current salary — trajectories or nothing
  • Do not ignore equity because it's "complicated" — the complication is the money
  • Do not treat "my manager hinted at promotion" as a modeled event — named role and timeline, or it's noise
  • Do not assume the jump cadence repeats forever without naming the résumé-pattern cost
  • Do not hide behind "it depends" — deliver the honest read with its reasoning

Example Trigger Phrases

  • "Should I switch jobs for more money?"
  • "Model my salary if I stay vs leave."
  • "Raise versus new offer."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in skills/raise-vs-jump of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • references/worked-example.md
  • scripts/raise_vs_jump.py

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Raise Vs Jump next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Raise Vs Jump compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Raise Vs Jump this skillmohitagw15856/pm-claude-skills1.4k—~1.2kAutomated safety check: PassMIT
Technical Job Searchgithub/awesome-copilot40k—~1.2kAutomated safety check: PassMIT
Job Application AssistantMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: NotesMIT
Job Application Managerreactive-resume/reactive-resume44k—~13kAutomated safety check: PassMIT
Python Background Jobswshobson/agents40k—~1.8kAutomated safety check: PassMIT
Raisely AutomationComposioHQ/awesome-claude-skills77k3 repos~730Automated safety check: PassNone

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Questions about Raise Vs Jump

What does Raise Vs Jump 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…. Raise Vs Jump is an agent skill from mohitagw15856/pm-claude-skills. 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).

When should I use Raise Vs Jump?

Raise Vs Jump fits situations like: asked should I switch jobs for more money; is job hopping worth it; model my salary if I stay vs leave; raise versus new offer.

How do I install Raise Vs Jump in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump -a claude-code`. Or copy the skill folder (skills/raise-vs-jump in mohitagw15856/pm-claude-skills) into .claude/skills/raise-vs-jump in your project. Claude Code loads it when a task matches its description.

How do I install Raise Vs Jump in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump -a codex`. Or copy the skill folder (skills/raise-vs-jump in mohitagw15856/pm-claude-skills) into .agents/skills/raise-vs-jump in your project. Codex loads it when a task matches its description.

Can I use Raise Vs Jump in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill raise-vs-jump -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/raise-vs-jump, .gemini/skills/raise-vs-jump, .github/skills/raise-vs-jump and .opencode/skills/raise-vs-jump in your project.

What does Raise Vs Jump need to run?

Going by SKILL.md and its folder, Raise Vs Jump needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Raise Vs Jump access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Raise Vs Jump safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Raise Vs Jump use?

Raise Vs Jump is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Raise Vs Jump use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Raise Vs Jump?

Skills that share tags, products or a category with Raise Vs Jump: Technical Job Search (github/awesome-copilot, 40k stars), Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars), Job Application Manager (reactive-resume/reactive-resume, 44k stars) and Python Background Jobs (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Raise Vs Jump?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.