tomevault-io Skill Name
Status: Ready to use | Auto-trigger: Yes
Triggers
This skill activates when user mentions:
- Implementing lambda calculus interpreters
- Understanding evaluation strategies (CBV, CBN)
- Building functional language interpreters
Action Prompts
Use these prompts directly:
Implement a call-by-value lambda calculus interpreter with:
- Var, Abs, App AST nodes
- Closure environment
- Beta reduction
Add call-by-name evaluation to existing interpreter:
- Thunk implementation
- Lazy argument evaluation
- Compare with call-by-value behavior
When to Use This Skill
- Bullet point use case 1
- Bullet point use case 2
- Bullet point use case 3
What This Skill Does
- Capability 1: Description
- Capability 2: Description
- Capability 3: Description
How to Use
Basic Usage
# Simple example code
Using the Script
# If script is provided:
python run.py --input "lambda x. x"
python run.py --strategy cbv --file example.lc
Advanced Usage
# More complex example with options
Test Cases
| Input | Expected Output | Description |
|---|---|---|
(λx. x) (λy. y) |
λy. y |
Identity application |
(λx. λy. x) (λz. z) |
λy. λz. z |
Constant function |
((λf. f f) (λx. x)) |
λx. x |
Omega combinator |
Key Concepts
| Concept | Description |
|---|---|
| Concept 1 | Description 1 |
| Concept 2 | Description 2 |
Tips
- Tip 1
- Tip 2
- Tip 3
Common Use Cases
- Use case 1
- Use case 2
- Use case 3
Related Skills
simply-typed-lambda-calculus- Example of a completed skill using this template style
Canonical References
| Reference | Why It Matters |
|---|---|
| Reference 1 | Description |
| Reference 2 | Description |
Tradeoffs and Limitations
Approach Tradeoffs
| Approach | Pros | Cons |
|---|---|---|
| Approach 1 | Pros 1 | Cons 1 |
| Approach 2 | Pros 2 | Cons 2 |
When NOT to Use This Skill
- Scenario 1
- Scenario 2
Limitations
- Limitation 1
- Limitation 2
Assessment Criteria
A high-quality implementation should have:
| Criterion | What to Look For |
|---|---|
| Criterion 1 | Description 1 |
| Criterion 2 | Description 2 |
Quality Indicators
✅ Good: Description of good implementation ⚠️ Warning: Description of warning signs ❌ Bad: Description of bad implementation
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