add-backend-tool
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
Best use case
add-backend-tool is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
Teams using add-backend-tool 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/add-backend-tool/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How add-backend-tool Compares
| Feature / Agent | add-backend-tool | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
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
# Add Backend Tool
## Instructions
1. Read `backend/main.py` to understand existing tool patterns:
- Find the `tools` list with function definitions
- Review helper functions (read_file, write_file, run_terminal_command, web_search)
2. Create the helper function:
```python
def new_tool_name(param1: str, param2: int = 10) -> str:
"""Docstring explaining the tool."""
try:
# Implementation
return result
except Exception as e:
return f"Error: {str(e)}"
```
3. Add tool definition to the `tools` list:
```python
{
"type": "function",
"function": {
"name": "new_tool_name",
"description": "What this tool does and when to use it",
"parameters": {
"type": "object",
"properties": {
"param1": {"type": "string", "description": "..."},
"param2": {"type": "integer", "description": "..."}
},
"required": ["param1"]
}
}
}
```
4. Add tool invocation handler in the WebSocket message loop:
```python
elif func_name == "new_tool_name":
result = new_tool_name(**args)
```
5. Update mode restrictions if needed:
- Agent mode: full access
- Chat mode: add to allowed list only if read-only/safe
## Examples
- "Add a tool to list directory contents"
- "Create a tool for git operations"
- "Add web scraping capability"
## Guardrails
- Include proper error handling with try/except
- Add timeout for any long-running operations
- Consider security implications (Chat mode restrictions)
- Never hardcode API keys or secrets
- Document the tool's purpose in the function docstringRelated Skills
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