Agent skill

interview

Interview me about anything in depth

Stars 1
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/iamladi/cautious-computing-machine--sdlc-plugin/tree/main/skills/interview

SKILL.md

Deep Interview Skill

Priorities

Insight > Brevity > Closure

Goal

Conduct iterative interviews about topics or files. For files, detect paths (contains /, .md, .ts) and read first. Interview round-by-round with AskUserQuestion until user says "done" or coverage is sufficient.

Constraints

  • Use AskUserQuestion with multiple-choice options for fast responses
  • Include "(Recommended)" option when you have a strong opinion
  • Include "Not sure - you decide" escape hatch for low-stakes decisions
  • Ask 1-4 questions per round
  • Ask about tradeoffs, edge cases, scope, preferences, constraints, alternatives
  • Never ask obvious things, surface-level questions, or things answerable by code discovery
  • Add footer for power users: Reply format: 1a 2b or defaults

Question Categories

  1. Technical Implementation - Architecture, technology choices, data flow
  2. User Experience - Interaction patterns, error states, edge cases
  3. Constraints & Requirements - Performance, security, scalability
  4. Scope & Priorities - Must-have vs nice-to-have, first version vs future
  5. Risks & Concerns - What could go wrong, uncertainties, alternatives

Completion

When user says "done" or all areas explored:

File input: Update original file with refined information. Add "Interview Insights" section preserving structure.

Topic input: Provide comprehensive summary of insights, key decisions, and unresolved questions.

Topic

$ARGUMENTS

Expand your agent's capabilities with these related and highly-rated skills.

iamladi/cautious-computing-machine--sdlc-plugin

tdd

TDD enforcement during implementation. Reads `tdd:` setting from CLAUDE.md. Modes - strict (human approval for escape), soft (warnings), off (disabled). Auto-invoked by /implement.

1 0
Explore
iamladi/cautious-computing-machine--sdlc-plugin

judgment-eval

Evaluates agent judgment quality through scenario-based testing in-conversation. Use when the user wants to test, validate, or stress-test an agent, skill, or command definition — e.g. "test this agent", "evaluate this skill", "does this prompt handle edge cases", "check this agent's judgment", or after writing or modifying any agent/skill/command .md file.

1 0
Explore
iamladi/cautious-computing-machine--sdlc-plugin

update-models

Re-resolve the model registry by querying OpenAI Codex cache, Google AI API, and Oracle CLI. Use when models feel stale or after a major model release.

1 0
Explore
iamladi/cautious-computing-machine--sdlc-plugin

gemini

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Resolves the latest flagship model from the model registry.

1 0
Explore
iamladi/cautious-computing-machine--sdlc-plugin

agent-change-walkthrough

Generates a narrative walkthrough of AI-authored code changes. Use after implementation to explain what changed, why, and how it behaves.

1 0
Explore
iamladi/cautious-computing-machine--sdlc-plugin

finish-branch

1 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results