/call-ipc
Call a Tauri IPC command with arguments and view the response
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/call-ipc
Context preview
What this command does when you run it.
Call a Tauri IPC command with arguments and view the response
Command definition
call-ipc.mdname: rust:tauri:call-ipc
description: Call a Tauri IPC command with arguments and view the response
allowed-tools: mcp__tauri-mcp__call_ipc_command, mcp__tauri-mcp__list_ipc_handlers
author: Quintin Henry (https://github.com/qdhenry/)
<objective> Invoke a Tauri IPC command (same as frontend `invoke()` calls) directly from the command line. Useful for testing backend commands without UI interaction. </objective>
<instructions> Call IPC command: **$ARGUMENTS**
Arguments format: `[process_id] [command_name] [args_json]`
- `process_id`: Required - the process ID from `/tauri:launch`
- `command_name`: Required - the IPC command name (e.g., `get_projects`)
- `args_json`: Optional - JSON object with command arguments
Process
1. **Parse Arguments** Extract process_id, command_name, and optional args from $ARGUMENTS.
2. **Call the IPC Command** Use `mcp__tauri-mcp__call_ipc_command` with:
- `process_id`: Target process
- `command_name`: The Tauri command to invoke
- `args`: JSON object with parameters (if any)
3. **Format Response**
- Pretty-print JSON responses
- Highlight errors or unexpected results
- Show timing information if available
Usage Examples
# Simple command with no args
/tauri:call-ipc 12345 get_projects
# Command with arguments
/tauri:call-ipc 12345 get_project {"id": "abc-123"}
# Create operation
/tauri:call-ipc 12345 create_task {"title": "Test Task", "project_id": "proj-1"}
# Update with complex args
/tauri:call-ipc 12345 update_task_status {"task_id": "task-1", "status": "completed"}</instructions>
<output_format>
=== IPC Call Result ===
Command: [command_name]
Process: [PID]
--- Request ---
Args: [formatted JSON args]
--- Response ---
[formatted JSON response]
--- Timing ---
Duration: [X]ms
For errors:
=== IPC Call Failed ===
Command: [command_name]
Error: [error message]
Suggestion: [troubleshooting hint]
</output_format>
<common_patterns> **CRUD Operations:**
# Create
/tauri:call-ipc [pid] create_[entity] {"field": "value"}
# Read
/tauri:call-ipc [pid] get_[entity] {"id": "..."}
/tauri:call-ipc [pid] list_[entities] {}
# Update
/tauri:call-ipc [pid] update_[entity] {"id": "...", "field": "new_value"}
# Delete
/tauri:call-ipc [pid] delete_[entity] {"id": "..."}**Query with Filters:**
/tauri:call-ipc [pid] search_tasks {"query": "bug", "status": "open"}</common_patterns>
<troubleshooting> **"Command not found":**
- Run `/tauri:list-commands [pid]` to see available commands
- Check command name spelling (snake_case)
**"Invalid arguments":**
- Verify JSON syntax is valid
- Check required fields for the command
- Look at Rust command definition for expected types
**"Serialization error":**
- Ensure argument types match (string vs number vs boolean)
- Check for missing required fields
</troubleshooting>
Read more
name: rust:tauri:call-ipc description: Call a Tauri IPC command with arguments and view the response allowed-tools: mcp__tauri-mcp__call_ipc_command, mcp__tauri-mcp__list_ipc_handlers author: Quintin Henry (https://github.com/qdhenry/)
<objective> Invoke a Tauri IPC command (same as frontend `invoke()` calls) directly from the command line. Useful for testing backend commands without UI interaction. </objective>
<instructions> Call IPC command: **$ARGUMENTS**
Arguments format: `[process_id] [command_name] [args_json]`
- `process_id`: Required - the process ID from `/tauri:launch`
- `command_name`: Required - the IPC command name (e.g., `get_projects`)
- `args_json`: Optional - JSON object with command arguments
Process
1. **Parse Arguments** Extract process_id, command_name, and optional args from $ARGUMENTS.
2. **Call the IPC Command** Use `mcp__tauri-mcp__call_ipc_command` with:
- `process_id`: Target process
- `command_name`: The Tauri command to invoke
- `args`: JSON object with parameters (if any)
3. **Format Response**
- Pretty-print JSON responses
- Highlight errors or unexpected results
- Show timing information if available
Usage Examples
# Simple command with no args
/tauri:call-ipc 12345 get_projects
# Command with arguments
/tauri:call-ipc 12345 get_project {"id": "abc-123"}
# Create operation
/tauri:call-ipc 12345 create_task {"title": "Test Task", "project_id": "proj-1"}
# Update with complex args
/tauri:call-ipc 12345 update_task_status {"task_id": "task-1", "status": "completed"}</instructions>
<output_format>
=== IPC Call Result === Command: [command_name] Process: [PID] --- Request --- Args: [formatted JSON args] --- Response --- [formatted JSON response] --- Timing --- Duration: [X]ms
For errors:
=== IPC Call Failed === Command: [command_name] Error: [error message] Suggestion: [troubleshooting hint]
</output_format>
<common_patterns> **CRUD Operations:**
# Create
/tauri:call-ipc [pid] create_[entity] {"field": "value"}
# Read
/tauri:call-ipc [pid] get_[entity] {"id": "..."}
/tauri:call-ipc [pid] list_[entities] {}
# Update
/tauri:call-ipc [pid] update_[entity] {"id": "...", "field": "new_value"}
# Delete
/tauri:call-ipc [pid] delete_[entity] {"id": "..."}**Query with Filters:**
/tauri:call-ipc [pid] search_tasks {"query": "bug", "status": "open"}</common_patterns>
<troubleshooting> **"Command not found":**
- Run `/tauri:list-commands [pid]` to see available commands
- Check command name spelling (snake_case)
**"Invalid arguments":**
- Verify JSON syntax is valid
- Check required fields for the command
- Look at Rust command definition for expected types
**"Serialization error":**
- Ensure argument types match (string vs number vs boolean)
- Check for missing required fields
</troubleshooting>
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
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