Agent skill · Business & Finance

fire-number

Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer. Use when asked what's my FIRE number, when can I retire early, how much do I need to be financially independent, or model my savings trajectory. Produces the FIRE number, years-to-target at stated assumptions, a return × withdrawal-rate sensitivity grid, and the honest list of what the model ignores.

mohitagw15856github.com/mohitagw15856GitHub ↗
claude-codecursorships scriptsMIT
Install
npx skills add mohitagw15856/pm-claude-skills --skill fire-number --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/fire-number/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,255
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# FIRE Number Skill Every FIRE calculation is three assumptions wearing a number's clothing: a withdrawal rate, a real return, and the pretense that returns arrive in a convenient order. This skill does the math properly and refuses the false precision — the deliverable is a *surface* of outcomes with the assumptions labeled, not a single date to organize a life around. ## What This Skill Produces - **The FIRE number** — annual spend ÷ withdrawal rate, with the withdrawal rate named as the choice it is - **Years to target** — at stated savings, contributions, and real return - **The sensitivity grid** — years-to-target across return (3/5/7%) × withdrawal rate (3/3.5/4%) - **The ignored-risks list** — sequence-of-returns, taxes, spending drift — stated, not buried ## Required Inputs Ask for these if not provided: - **Current invested savings** (invested — not home equity, not emergency cash) - **Monthly contribution** (realistic, not aspirational — ask which) - **Target annual spend in retirement** (today's dollars; if unknown, current spend is the honest starting guess, labeled) - **Return and withdrawal assumptions** (defaults: 5% real, 4% withdrawal — both labeled as defaults) ##

What's inside
Steps it walks through
  1. What This Skill Produces
  2. Required Inputs
  3. Programmatic Helper
  4. Framework: The Honesty Rules
  5. Output Format
  6. The Number and the Path
  7. Reading the Grid
  8. What This Model Ignores
  9. The One Lever
  10. Quality Checks
  11. Anti-Patterns
Ships with 2 files
  • references/worked-example.md
  • scripts/fire_number.py
Commands it runs
python3 scripts/fire_number.py --savings 120000 --monthly 3000 --spend 60000
python3 scripts/fire_number.py --savings 120000 --monthly 3000 --spend 60000 --return 5 --wr 4 --json
More from pm-claude-skills
All skills →
About this skill
What does the fire-number skill do?

Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer. Use when asked what's my FIRE number, when can I retire early, how much do I need to be financially independent, or model my savings trajectory. Produces the FIRE number, years-to-target at stated assumptions, a return × withdrawal-rate sensitivity grid, and the honest list of what the model ignores.

How do I install it?

Run `npx skills add mohitagw15856/pm-claude-skills --skill fire-number --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.

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