Expert Interview Topics

Source: https://github.com/aipoch/medical-research-skills

When to Use

• Use this skill when the request matches its documented task boundary.
• Use it when the user can provide the required inputs and expects a structured deliverable.
• Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

• Scope-focused workflow aligned to: "Generates professional interview titles and questions based on expert background and topic. Provides a structured workflow for interview preparation.".
• Packaged executable path(s): scripts/main.py plus 1 additional script(s).
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

See ## Usage above for related details.

cd "20260316/scientific-skills/Others/expert-interview-topics"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/main.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/main.py with additional helper scripts under scripts/.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

python scripts/validate_skill.py --help

Expert Interview Topics

This skill provides a professional workflow to generate interview titles and questions based on an expert's background and a discussion topic. It encapsulates the logic for title ideation, selection, and in-depth question formulation.

Note: This skill outputs the structured reasoning process and prompts, allowing users to execute the generation steps with their preferred Large Language Model (LLM).

Usage

Run the Python script in the scripts directory.

Command

python scripts/main.py --topic "<topic>" --background "<expert_background>" [--file "<path_to_transcript>"]

Arguments

• --topic: The main topic or direction of the interview.
• --background: Detailed background information of the expert (Name, Unit, Research direction, Achievements, etc.).
• --file (Optional): Path to an existing interview transcript file (txt, md, etc.).

Output

The script outputs three prompt templates corresponding to the workflow steps:

1. Title Generation Prompt: Ready to use.
2. Title Selection Prompt: Contains a placeholder {generated_titles} to be filled with the result from Step 1.
3. Question Generation Prompt: Contains a placeholder {selected_title} to be filled with the result from Step 2.

Example

python scripts/main.py --topic "AI in Healthcare" --background "Dr. Smith, Chief Scientist at HealthAI"

When Not to Use

• Do not use this skill when the required source data, identifiers, files, or credentials are missing.
• Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
• Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

• A clearly specified task goal aligned with the documented scope.
• All required files, identifiers, parameters, or environment variables before execution.
• Any domain constraints, formatting requirements, and expected output destination if applicable.