house-agents

🥈Silver

House Agents automates workflows using AI agents. It benefits operations teams by streamlining repetitive tasks. It connects to CLI tools and Python workflows, optimizing productivity.

4150Updated 1mo ago

Intermediate30min to implementautomation

Saves ~80 min per use

Quick InstallView Source

git clone https://github.com/houseworthe/house-agents.git

Works with:

Claude

Overview

About This Skill

House Agents automates workflows using AI agents. It benefits operations teams by streamlining repetitive tasks. It connects to CLI tools and Python workflows, optimizing productivity.

How to Use

["Define the task scope: Specify the [TASK_NAME], [INPUT_DATA], and desired outcome. Include constraints (e.g., file formats, time limits).","Select automation tools: Choose between [CLI_TOOLS] (e.g., rsync, grep) or [PYTHON_SCRIPTS] (e.g., pandas, subprocess). Ensure tools are installed and accessible.","Configure logging: Set up a [LOG_FILE] path to track progress, errors, and results. Use structured formats (e.g., JSON) for easy parsing.","Execute and monitor: Run the House Agent and observe real-time logs. Intervene only if critical errors occur (e.g., permission issues).","Review and iterate: After completion, analyze the [LOG_FILE] to identify bottlenecks or failures. Adjust tools or parameters for future runs."]

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/houseworthe/house-agents

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

Act as a House Agent for [TASK_NAME]. Use the provided [CLI_TOOLS] or [PYTHON_SCRIPTS] to automate the workflow. Start by analyzing the [INPUT_DATA] to identify the steps required. Execute each step sequentially, logging progress in [LOG_FILE]. If errors occur, suggest fixes and retry. Confirm completion with a summary of actions taken and results.

Example Output

### House Agent Execution Report
**Task:** Automate weekly data backup and validation
**Input Data:** 150 CSV files in /data/raw/ (last modified: 2023-11-15)
**Tools Used:** Python (pandas, shutil), CLI (rsync, md5sum)

**Step 1: Data Validation**
- Verified file integrity using md5sum. 148/150 files passed checksum validation. Files 'data_001.csv' and 'data_045.csv' failed (checksum mismatch).
- **Action:** Triggered automated retry with checksum regeneration. Both files validated successfully on second attempt.

**Step 2: Backup Creation**
- Created compressed backup in /backups/weekly_2023-11-15.tar.gz (size: 2.4GB, compression ratio: 68%).
- Verified backup integrity with md5sum (match: 100%).

**Step 3: Cleanup**
- Moved original files to /data/archive/2023-11-15/ (150 files, 3.8GB total).
- Logged all actions to /logs/backup_2023-11-15.log.

**Results:**
- Successfully processed 150 files with 0 errors.
- Backup completed in 42 minutes (vs. manual estimate: 2.5 hours).
- Disk space saved: 1.4GB (compression + cleanup).

**Next Steps:**
- Notify team via Slack channel #data-backups with summary.
- Schedule next backup for 2023-11-22 (automated via cron).