Job-Seeker Interview Practice Coach
Practice answering interview questions with your real experiences, reusable STAR story cards, saved attempts and specific prompts for your next revision.
Not yet available to purchase. Submitted price shown below.
Find another skill $12 one-timeWhat problem does Job-Seeker Interview Practice Coach solve?
Practice answering interview questions with your real experiences, reusable STAR story cards, saved attempts and specific prompts for your next revision.
Use it to
- For a job seeker rehearsing before an interview, preserve source-linked STAR stories and successive attempts, then give specific next-attempt feedback without inventing achievements or judging hireability.
- Prepare your next application or practice session using your own approved facts.
- Return to a saved packet without losing earlier work.
What it returns
- claim-sources.csv
- findings.csv
- manifest.json
- practice-feedback.md
- practice-history.json
- question-plan.md
- report.md
- story-cards.md
- summary.json
A representative input and result
Access and approval boundaries
- Read one local input JSON file.
- Write a new local output directory; no network or external actions.
Known limitations
- The helper gives literal source/structure checks, not a semantic coaching score or speech analysis.
- The skill instructs iterative coaching; no live employer-interview assistance or automated hiring decisions.
- Unmapped free-form wording needs human review, and source units cannot authenticate the underlying life history.
Questions
What do I receive?
A downloadable skill with a local Python helper, input contract, synthetic fixtures, tests and sample reports.
What do I need to run it?
Python 3.10 or newer and your authorized normalized JSON records. The helper uses the standard library; Windows CLI execution was tested.
Does it connect to my HR software?
No. You supply a local export normalized to the documented schema. There is no ATS or HRIS integration.
Will it apply, contact employers or judge my suitability?
No. It helps you prepare your own materials or practice. It never sends or submits, infers sensitive traits or predicts job outcomes.
What does READY mean?
No encoded finding in the supplied scope. It does not prove source truth, comprehensive readiness, legal compliance or approval to act.
What are the main limits?
The helper gives literal source/structure checks, not a semantic coaching score or speech analysis.
Where does my data go?
The Python helper stays local. Your agent host may separately process prompts; use synthetic data unless the owner authorizes sensitive data processing.
Job-Seeker Interview Practice Coach keeps proof and approval boundaries visible.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
Submitted to Agensi for review. Not yet available to purchase. The displayed price is the submitted one-time price.