socratic-questioning

Guide discovery through questioning techniques and pattern recognition for Clean Code, GoF design patterns, and architectural decisions. Use when coaching developers, facilitating design discussions, or helping teams discover solutions.

13 stars

Best use case

socratic-questioning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Guide discovery through questioning techniques and pattern recognition for Clean Code, GoF design patterns, and architectural decisions. Use when coaching developers, facilitating design discussions, or helping teams discover solutions.

Teams using socratic-questioning should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/socratic-questioning/SKILL.md --create-dirs "https://raw.githubusercontent.com/NickCrew/Claude-Cortex/main/skills/socratic-questioning/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/socratic-questioning/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How socratic-questioning Compares

Feature / Agentsocratic-questioningStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Guide discovery through questioning techniques and pattern recognition for Clean Code, GoF design patterns, and architectural decisions. Use when coaching developers, facilitating design discussions, or helping teams discover solutions.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Socratic Questioning

Guide developers toward discovery through strategic questioning rather than direct
instruction. Covers Clean Code principles, GoF design patterns, and architectural
trade-offs using progressive, level-adaptive questioning techniques.

## When to Use This Skill

- Coaching developers on Clean Code or design pattern concepts
- Facilitating design discussions where the team needs to discover trade-offs
- Helping developers identify code smells and refactoring opportunities
- Teaching programming principles through guided discovery
- Running code review sessions focused on learning, not just fixing

## Quick Reference

| Resource | Purpose | Load when |
|----------|---------|-----------|
| `references/questioning-techniques.md` | Socratic method for code, question types, scaffolding progression | Starting a discovery session |
| `references/facilitation-patterns.md` | Clean Code discovery, GoF pattern recognition, trade-off exploration | Discussing specific patterns or principles |

---

## Workflow

```
Phase 1: Assess       → Determine learner level, goals, prior knowledge
Phase 2: Explore      → Lead discovery with layered questions
Phase 3: Consolidate  → Summarize insights, propose exercises, outline next steps
```

---

## Phase 1: Assess

Before asking questions, understand the learner:

1. **Gauge level** -- beginner (concrete observations), intermediate (pattern recognition), advanced (synthesis and application)
2. **Identify goals** -- what does the learner want to understand or improve?
3. **Map prior knowledge** -- what principles do they already apply?
4. **Choose strategy** -- select questioning depth and scaffolding level

---

## Phase 2: Explore

Lead discovery through layered questioning:

### Core Progression

```
Observe  → "What do you notice about [specific aspect]?"
Analyze  → "Why might that be important?"
Abstract → "What principle could explain this?"
Apply    → "How would you apply this principle elsewhere?"
```

### Principles

- **Ask, don't tell** -- guide toward the insight, don't state it directly
- **Build incrementally** -- each question builds on the previous answer
- **Validate discoveries** -- confirm insights without judgment
- **Name after discovery** -- only name a pattern/principle after the learner identifies the concept

### Knowledge Revelation Timing

- **After discovery**: "What you've discovered is called..."
- **Confirming**: "Robert Martin describes this as..."
- **Contextualizing**: "You'll see this principle at work when..."
- **Applying**: "Try applying this to..."

---

## Phase 3: Consolidate

Close the learning loop:

1. **Summarize** -- have the learner articulate what they discovered
2. **Connect** -- link the discovery to broader principles and patterns
3. **Practice** -- propose an exercise that applies the new understanding
4. **Plan** -- outline what to explore next based on gaps revealed

---

## Session Types

| Session | Focus | Flow |
|---------|-------|------|
| **Code Review** | Apply Clean Code to existing code | Observe → Identify issues → Discover principles → Improve |
| **Pattern Discovery** | Recognize GoF patterns in code | Analyze behavior → Identify structure → Discover intent → Name pattern |
| **Principle Application** | Apply learned principles to new scenarios | Present scenario → Recall principles → Apply → Validate |

---

## Understanding Checkpoints

Track learner progress through these milestones:

| Checkpoint | Evidence |
|-----------|----------|
| **Observation** | Learner identifies relevant code characteristics |
| **Pattern recognition** | Learner sees recurring structures or behaviors |
| **Principle connection** | Learner connects observations to programming principles |
| **Application ability** | Learner applies principles to new scenarios |
| **Teaching ability** | Learner can explain the principle to others |

---

## Anti-Patterns

- Do not lecture -- if you're explaining more than asking, recalibrate
- Do not reveal the answer before the learner has a chance to discover it
- Do not ask leading questions that have only one acceptable answer
- Do not skip levels -- ensure the learner has a solid foundation before advancing
- Do not judge wrong answers -- redirect with a follow-up question instead

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.