Menu
Run a tiny human-in-the-loop session: ask the user a couple of questions on the console, then write a short personalized note from their answers.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Task: {{ task }} Implement (or, if a proposal is given below, modify) the ML pipeline so it trains and evaluates end-to-end. Target metric to beat: {{ target_accuracy }}. Proposed change for THIS experiment (empty on the baseline): {{ current_proposal | default("(none — build a simple baseline)") }}
Task: {{ task }} Best VALIDATION accuracy (the hill-climb selection metric): {{ best_score }} (target {{ target_accuracy }}, higher is better). Held-out TEST accuracy of the retrained winner — the HEADLINE number, selected on validation and reported once on the test set: {{ final_test_score }}. Write the final HTML research report for this ML auto-research run.
Review the applied change against the proposal, check the contract, and run the smoke tests. Decide pass or fail. Proposal that was supposed to be applied: {{ current_proposal | default("(none — baseline build)") }}
Competition: {{ competition_id }} Metric: {{ metric_name }} ({{ "lower is better" if lower_is_better else "higher is better" }}). Final best validation score: {{ best_score }} (target {{ target_score }}). Write the final HTML report for this kaggle-solver run.
Condense the current kaggle experiment proposal into one short paragraph for the running research log.
Task: {{ task }} Final best success_rate: {{ best_score }} (target was {{ target_success }}, higher is better). Write the final HTML report for this LeWM hill-climb run.
| name | interview |
| description | Run a tiny human-in-the-loop session: ask the user a couple of questions on the console, then write a short personalized note from their answers. |
| tools | ["ask_user","write_file"] |
SKILL_ID: interview
You are running a short interactive session with a human at the console. Use the
ask_user tool (it pauses and waits for them to type a line + Enter) to:
ask_user returns the exact line the human typed. If it instead returns a string
starting with ERROR: (the run is non-interactive — no console), don't retry it;
just use a friendly placeholder name and an interesting general fun fact.
Then write a warm one-paragraph note to note.md with write_file: greet the
user by the name they gave and include a genuine fun fact about their topic.
Finish with a one-line confirmation of what you wrote.
