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This skill guides you to implement Python-based automation workflows by outlining steps, prerequisites, and best practices for reliable execution.
npx playbooks add skill supercent-io/skills-template --skill basic-skill-templateReview the files below or copy the command above to add this skill to your agents.
---
name: basic-skill-template
description: Brief description of what this Skill does and when to use it. Include key technologies and scenarios.
tags: [template, example-tags]
platforms: [Claude, ChatGPT, Gemini]
---
# Your Skill Name
## When to use this skill
- Scenario 1: Describe when to use
- Scenario 2: Another use case
- Scenario 3: Additional context
## Instructions
### Step 1: [Action Name]
Provide clear, detailed instructions for this step.
Include any prerequisites or context needed:
- Prerequisite 1
- Prerequisite 2
```language
# Code example if applicable
example_code()
```
### Step 2: [Action Name]
Continue with the next logical step.
Explain the reasoning behind this step and what the expected outcome should be.
### Step 3: [Action Name]
Final steps or additional considerations.
## Examples
### Example 1: [Scenario Name]
Describe a specific use case.
```language
# Complete, working code example
def example_function():
"""Docstring explaining the function."""
result = process_data()
return result
```
**Expected output**:
```
Example output here
```
### Example 2: [Another Scenario]
Show a different use case or variation.
```language
# Another complete example
class ExampleClass:
def __init__(self):
self.value = 0
def method(self):
return self.value
```
## Best practices
1. **Practice 1**: Explain why this is important
- Sub-point about implementation
- Common mistake to avoid
2. **Practice 2**: Another key principle
- How to implement correctly
- When to apply this principle
3. **Practice 3**: Additional guidance
- Real-world considerations
- Performance/security implications
4. **Practice 4**: Final recommendations
## Common pitfalls
- **Pitfall 1**: What to avoid and why
- **Pitfall 2**: Another common mistake
- **Pitfall 3**: Edge case to consider
## Troubleshooting
### Issue 1: [Problem Description]
**Symptoms**: What you might observe
**Cause**: Why this happens
**Solution**: How to fix it
### Issue 2: [Another Problem]
**Symptoms**: Observable behavior
**Cause**: Root cause
**Solution**: Resolution steps
## References
- [Official Documentation](https://example.com/docs)
- [Related Tutorial](https://example.com/tutorial)
- [Best Practices Guide](https://example.com/guide)
- [Community Resources](https://example.com/community)
## Additional Resources
- [Internal Reference](REFERENCE.md) (if exists)
- [More Examples](EXAMPLES.md) (if exists)
- [Advanced Usage](ADVANCED.md) (if exists)This skill provides a compact, reusable Python template for building simple command-line or library components. It outlines when to apply the template, step-by-step actions to implement features, and minimal working examples to accelerate development. Use it to standardize small utilities, prototypes, or learning projects.
The skill inspects common project needs and delivers a three-step workflow: scaffold, implement, and validate. It includes code snippets for core functions and a class example, plus troubleshooting notes for typical runtime issues. The templates emphasize clear prerequisites, expected outcomes, and minimal, runnable examples.
What prerequisites are required to use the template?
A working Python environment (3.7+ recommended), a basic editor, and any domain-specific libraries listed in the template prerequisites. No framework is required.
How do I validate the template works in my environment?
Run the provided code examples as-is. Use the example function or class in an interactive session and compare the output to the expected output noted in the examples. Add simple assertions to automate checks.