GratisAIcareer · field guide · local-first · no account
skill allocation matrix

Check Skill Hours Against Target Shares — Free

Skill plans fail in the allocation, not the ambition. Compare the hours already invested in each skill with the share your plan gives it, and see which skill is quietly underfunded.

The proof surface

Skill-gap boards list what the target role needs. This audits the hour budget behind that map — whether the time actually invested matches the share each skill was promised in the plan.

Inputskill | target share percent | hours already invested; total hours available this quarter
Rare deviceSkill-gap boards list what the target role needs. This audits the hour budget behind that map — whether the time actually invested matches the share each skill was promised in the plan.
Output artifactsurplus hours per row with transparent workings
Cost$0 · local-first · one free run · samples labelled
Sample, not your facts: Illustrative sample: Data visualisation | 30 | 12; Public speaking | 20 | 18. With total hours available this quarter set to 60, tightest skill is -6.00 surplus hours.

Why the flat version breaks

Setting shares that total well over a hundred

Over-committed shares guarantee every skill looks behind; the plan must divide a real budget.

Counting work output as deliberate practice

Project hours can be investment, but only the deliberate share belongs in the ledger.

Chasing the deficit on the loudest skill

The tightest row is the plan’s own promise; go by the matrix, not the anxiety.

How to work the skill allocation matrix

Set the target share per skill

From the plan you wrote when the quarter started: the percentage of development time each skill deserves. Shares describe the plan, not the market.

Enter the hours already invested

Logged practice, courses and real project work — the hours that happened. Mentally-listed intentions are not invested hours.

Choose the total hour budget

The quarter’s real development hours — sixty is three or four hours a week, which is often the honest figure beside a full-time job.

Fund the tightest skill first

The matrix reports surplus hours against each skill’s target share and holds the tightest. A thirty-percent skill promised eighteen of sixty hours with twelve invested is six behind; the twenty-percent skill already six ahead does not need this month’s hour.

What the skill allocation matrix replaces

QuestionBeforeVisible working
Setting shares that total well over a hundredOver-committed shares guarantee every skill looks behind; the plan must divide a real budget.Enter the hours already invested
Counting work output as deliberate practiceProject hours can be investment, but only the deliberate share belongs in the ledger.Choose the total hour budget
Chasing the deficit on the loudest skillThe tightest row is the plan’s own promise; go by the matrix, not the anxiety.Fund the tightest skill first

A local arithmetic aid replaces hand calculation, not expert review. No paid AI service is needed.

Run it on the samples, right here

FIRST-LOAD

Input is processed locally and a draft is saved automatically in this browser profile when storage is available. Reset to sample clears that draft; Pro history has its own clear button. A state link encodes your inputs in its URL: share only non-sensitive rows. Browser history, clipboard and anyone receiving the link may retain it. Optional AI use below leaves this device; it is not required.

Allocation arithmetic on the shares and hours you supply. Not career, recruitment or competency-framework advice; role requirements and development plans come from your employer, mentor or the hiring organisations themselves.

Data note: Everything runs in this browser tab on the skill allocation matrix: your skill | target share percent | hours already invested stays on this device, nothing is uploaded, and the reading is rebuilt only when you press run.

Go deeper: the companion app files the same reading as a scored comparison matrix

The article demo above runs without limits. The companion app keeps a local history, exports the rows as CSV, prints the skill allocation matrix reading, and holds your drafts on this device — one free run, then $ 4 one-time for the layer that keeps filing.

The skill allocation matrix reading is complete for free. The optional $4 layer adds print, row CSV and the last five local reading summaries; it does not add hidden answers. Checkout is not configured yet; the article demo remains unlimited.

Open the check skill hours against target shares companion

Boundary

Allocation arithmetic on the shares and hours you supply. Not career, recruitment or competency-framework advice; role requirements and development plans come from your employer, mentor or the hiring organisations themselves.

What this is built on

Before: Over-committed shares guarantee every skill looks behind; the plan must divide a real budget. After: the skill allocation matrix shows the working beside each named row so the reader can change the assumption and inspect the consequence.

Optional AI formatting, not calculation

For this skill allocation matrix, use the free AI Studio interface only if available to you, with no paid API key. Manual entry completes the same workflow for free. Supply only fictional or non-sensitive notes. Review its output against the source; never paste unresolved questions into the numeric rows.

Format my non-sensitive notes for a skill allocation matrix. Return plain rows only: skill | target share percent | hours already invested. Preserve supplied quantities exactly. Do not guess missing values; list questions separately. Do not calculate or add advice. I will check every row before pasting into the local tool.

Accepted schema: skill | target share percent | hours already invested. No AI response is executed as code.