awesomeAgentskills

🥇Gold

awesomeAgentskills is a curated collection of skills designed for Claude Code and other AI agents, providing users with essential tools to enhance their AI capabilities. This repository serves as a valuable resource for developers and businesses looking to use AI technologies effectively.

160190Updated 1mo ago

Intermediate15 minutes to implementai-agents

Saves ~30 min per use

Quick InstallView Source

claude install littleben/awesomeAgentskills

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Identify Your Use Case","action":"Determine the specific task you want to automate (e.g., lead scraping, data entry, workflow orchestration). Use the awesomeAgentskills repository to find pre-built skills that match your goal.","tip":"Start with a small, repetitive task to test the workflow before scaling up."},{"step":"Customize the Skill","action":"Replace [PLACEHOLDERS] in the prompt template with your specific inputs (e.g., company name, target audience, tools). Use the example output as a reference for formatting and data structure.","tip":"Use Automa's visual workflow builder to map out the steps before automating. This helps visualize the process and identify potential bottlenecks."},{"step":"Integrate with Your Tools","action":"Connect the automated workflow to your existing tools (e.g., CRM, email marketing platform, databases). Use Automa's API integration or webhook features to ensure seamless data flow.","tip":"Test the integration with a small dataset first to avoid overwriting or corrupting your existing data."},{"step":"Deploy and Monitor","action":"Run the automated workflow and monitor its performance. Use Automa's logging and error-handling features to track issues and optimize the process.","tip":"Schedule the workflow to run at optimal times (e.g., during off-peak hours) to avoid overloading systems."},{"step":"Iterate and Scale","action":"Review the results and refine the workflow based on performance data. Scale the automation to handle larger datasets or additional tasks as needed.","tip":"Document the workflow steps and share them with your team to ensure consistency and knowledge transfer."}]

Use Cases

Enhancing AI agent performance

Integrating skills into applications

Automating routine tasks

Developing custom AI solutions

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install littleben/awesomeAgentskills

Alternative Install (Git Clone)

git clone https://github.com/littleben/awesomeAgentskills

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

Use the awesomeAgentskills repository to [ACTION] for [PURPOSE]. Focus on [SPECIFIC_TASK] and ensure the output is optimized for [TOOL_NAME] like Automa. Example: 'Use the awesomeAgentskills repository to automate a lead generation workflow for a SaaS company. Focus on scraping LinkedIn for potential leads and exporting the data to a CRM-compatible format. Ensure the output is optimized for Automa's browser automation capabilities.'

Example Output

### Automated LinkedIn Lead Scraping Workflow for SaaS Company

**Objective:** Scrape 500 high-quality leads from LinkedIn Sales Navigator for a SaaS company targeting mid-market HR tech buyers in the U.S.

**Workflow Steps:**
1. **Login & Authentication:**
   - Automated login to LinkedIn using stored credentials via Automa.
   - Bypass 2FA using Automa's session persistence feature.

2. **Search Configuration:**
   - Applied filters: Location = United States, Industry = Human Resources, Company Size = 51-500 employees.
   - Keywords: "HR software", "HR tech", "talent management", "employee experience".
   - Results: 1,247 potential leads identified.

3. **Data Extraction:**
   - Scraped the following fields for each lead:
     - Name, Job Title, Company Name, Company Size, Industry, LinkedIn Profile URL.
     - Email pattern detected (e.g., firstname.lastname@company.com).
   - Extracted 683 valid leads after filtering out incomplete profiles.

4. **Data Export:**
   - Exported data to CSV format with headers: `Name, Title, Company, Size, Industry, Email, LinkedIn_URL`.
   - File saved as `sass_leads_2024_05_15.csv` in Google Drive.

5. **CRM Integration:**
   - Uploaded CSV to HubSpot via API using Automa's HTTP request module.
   - Mapped fields: `Name` → Contact Name, `Title` → Job Title, `Email` → Email, etc.
   - Created a new list in HubSpot: "HR Tech Leads - May 2024".

**Quality Assurance:**
- Verified 92% of emails were valid using a free email verification API.
- Removed 142 duplicates based on LinkedIn profile URLs.
- Final dataset: 541 unique, high-quality leads.

**Next Steps:**
- Schedule automated follow-up emails using HubSpot sequences.
- Assign leads to sales reps based on territory (e.g., West Coast, East Coast).
- Monitor open rates and adjust targeting criteria for future campaigns.

**Automa Workflow Link:** [View Workflow](https://automa.site/workflow/12345)
**Time Saved:** ~8 hours of manual work per week.