conclaude

🥈Silver

Conclaude is a Rust CLI tool that adds guardrails to Claude Code sessions. It helps operations teams safely constrain and conclude code sessions, reducing errors and improving workflow efficiency. Integrates with Claude Code hooks and Nix for streamlined operations.

2420Updated Today

Intermediate30min to implementautomation

Saves ~15 min per use

Quick InstallView Source

git clone https://github.com/connerohnesorge/conclaude.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/connerohnesorge/conclaude

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm using Conclaude to manage a Claude Code session for [COMPANY] in the [INDUSTRY] sector. The session involves [DATA] processing. Please provide guardrails for the following tasks: [TASK1], [TASK2], and [TASK3]. Ensure the session concludes properly and efficiently.

Example Output

# Guardrails for Claude Code Session

## Task 1: Data Ingestion
- **Input Validation**: Ensure all data files are in CSV format and contain the required headers: 'ID', 'Name', 'Date', 'Amount'.
- **Rate Limiting**: Limit data ingestion to 1000 records per minute to avoid server overload.
- **Error Handling**: If a file is corrupted, skip it and log the error in 'error_log.txt'.

## Task 2: Data Processing
- **Resource Allocation**: Allocate a maximum of 4GB of RAM for data processing.
- **Concurrency**: Limit concurrent processing threads to 4.
- **Checkpointing**: Save intermediate results every 500 records processed.

## Task 3: Data Export
- **Output Format**: Export processed data in JSON format.
- **Compression**: Compress the output file using gzip.
- **Verification**: Generate a checksum for the output file and include it in the session summary.

## Session Conclusion
- **Resource Cleanup**: Release all allocated resources.
- **Session Summary**: Generate a summary report including start time, end time, total records processed, and any errors encountered.
- **Session Termination**: Terminate the session gracefully.