skillkit

## Skill Implementation Guide for AI Coding Agent

### Step 1: Define the Skill

To implement the skill of [DESCRIBE SKILL], you need to define the skill in a JSON configuration file. Here is an example configuration:

```json
{
  "skill_name": "[DESCRIBE SKILL]",
  "description": "A skill that enables the AI to [DESCRIBE SKILL].",
  "platforms": ["Claude Code", "Cursor", "Codex", "Gemini CLI"],
  "dependencies": ["Python 3.8+", "Skillkit 1.0+"]
}
```

### Step 2: Implement the Skill Logic

Next, you need to implement the logic for the skill. Here is an example Python function that performs the task:

```python
def [DESCRIBE SKILL](input_data):
    # Your implementation logic here
    result = process_input(input_data)
    return result
```

### Step 3: Integrate with Skillkit

Finally, integrate the skill with Skillkit by adding it to your Skillkit configuration file. Here is an example:

```json
{
  "skills": [
    {
      "name": "[DESCRIBE SKILL]",
      "function": "[DESCRIBE SKILL]",
      "config": {
        "platforms": ["Claude Code", "Cursor", "Codex", "Gemini CLI"]
      }
    }
  ]
}
```

### Step 4: Test the Skill

Test the skill by running it on your AI coding agent. Ensure that it works as expected and handles edge cases appropriately.