Access 200+ agent skills for automation, including Claude Code Skills. Compatible with Codex, Antigravity, Gemini CLI, Cursor. Ideal for operations teams to streamline workflows and integrate with existing tools.
git clone https://github.com/VoltAgent/awesome-agent-skills.gitThe awesome-agent-skills skill within the Claude Code ecosystem provides access to over 200 automation capabilities curated from both official developer teams and the community. This skill is designed to integrate seamlessly with various platforms like Codex, Antigravity, Gemini CLI, and Cursor, allowing users to automate a wide range of tasks efficiently. By leveraging these skills, teams can enhance their workflow automation, ensuring that repetitive tasks are handled with minimal manual intervention. One of the key benefits of the awesome-agent-skills is its ability to save time and increase productivity. Although specific time savings are not quantified, the automation of tasks such as testing REST APIs, generating reports, and deploying web applications can significantly reduce the workload for developers and product managers alike. For instance, automating the validation of API responses ensures that applications remain reliable without the need for extensive manual testing, freeing up resources for more strategic initiatives. This skill is particularly beneficial for developers, product managers, and AI practitioners who are looking to streamline their processes. With an intermediate level of complexity, users can expect to implement this skill in approximately 30 minutes. Its practical use cases include creating and editing Word documents programmatically for automated reporting, generating and analyzing PowerPoint presentations for team meetings, and deploying web applications to Vercel using predefined skills. These functionalities enable teams to maintain a high level of efficiency and accuracy in their workflows. Incorporating the awesome-agent-skills into AI-first workflows allows organizations to build and manage AI agents with stateful capabilities on platforms like Cloudflare. This skill is not only a valuable addition to any developer's toolkit but also aligns with the growing trend of AI automation in various industries. By adopting these skills, teams can ensure they remain competitive and agile in an increasingly automated landscape.
[{"step":"Identify the task to automate","action":"List the specific actions you want to automate, such as data extraction, transformation, report generation, or notifications. Use clear, actionable language. For example: 'Automate the weekly extraction of CRM data and generation of a performance dashboard.'","tip":"Start with a small, repetitive task to test the automation process before scaling up."},{"step":"Select the relevant skills from the awesome-agent-skills library","action":"Browse the library for skills that match your task. For example, if you need to pull data from Salesforce and generate a Google Sheets report, look for skills like 'salesforce-data-extraction' and 'google-sheets-report-generation'.","tip":"Use the library's search or categorization features to find skills compatible with your tools (e.g., Google Sheets, Salesforce, Slack)."},{"step":"Customize the prompt template for your use case","action":"Replace the placeholders in the prompt template with your specific details. For example, replace [TASK] with 'generate a weekly sales report', [ENVIRONMENT] with 'Google Sheets', [SPECIFIC_ACTIONS] with 'pull data from Salesforce and format the report', and [OUTPUT_FORMAT] with 'PDF saved to Google Drive'.","tip":"Include specific file paths, API endpoints, or formatting requirements to ensure the automation works as intended."},{"step":"Execute the automation and review the output","action":"Run the prompt in your AI tool (e.g., Claude, ChatGPT) and review the generated output. Verify that the data is accurate, the formatting is correct, and the automation steps are completed as expected.","tip":"Check the logs or output files for errors. If something goes wrong, adjust the prompt or the skills being used and try again."},{"step":"Integrate with your workflow","action":"Set up the automation to run on a schedule or trigger it manually as needed. For example, schedule the weekly sales report to generate every Monday morning. Use tools like Google Apps Script, Zapier, or cron jobs to automate the execution.","tip":"Test the automation in a staging environment before deploying it to production to avoid disrupting your workflows."}]
Automate testing of REST APIs and validate responses to ensure reliability.
Create and edit Word documents programmatically for automated reporting.
Generate and analyze PowerPoint presentations for team meetings.
Deploy web applications seamlessly to Vercel using predefined skills.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/VoltAgent/awesome-agent-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use the awesome-agent-skills library to automate [TASK] in [ENVIRONMENT]. Include [SPECIFIC_ACTIONS] and [OUTPUT_FORMAT]. For example: 'Use the awesome-agent-skills library to automate the generation of a weekly sales report in Google Sheets. Include pulling data from Salesforce, formatting the report with conditional formatting, and exporting it as a PDF to a shared Google Drive folder.'
``` # Automation Report Generated via awesome-agent-skills ## Task: Weekly Sales Performance Report Automation ### Actions Executed: 1. **Data Extraction**: Pulled sales data from Salesforce API for the week of 2024-05-06 to 2024-05-12. Filtered for deals closed, totaling $1.2M in revenue across 47 transactions. 2. **Data Transformation**: Cleaned and aggregated data in Python using Pandas, calculating win rates (89%), average deal size ($25.5K), and top-performing reps (Rep A: $180K, Rep B: $150K). 3. **Report Generation**: Created a Google Sheets report with: - Summary metrics in a dashboard-style layout. - Conditional formatting to highlight deals >$50K in green and <$10K in red. - A pivot table showing revenue by product category. 4. **Automation Trigger**: Scheduled the report to regenerate every Monday at 8 AM via Google Apps Script. 5. **Output Delivery**: Exported the report as a PDF and saved it to the 'Sales Reports' folder in Google Drive with the filename 'Weekly_Sales_Report_2024-05-13.pdf'. ### Tools Used: - **Salesforce API**: Data extraction via REST API. - **Google Sheets API**: Report generation and formatting. - **Google Apps Script**: Automation scheduling. - **Pandas (Python)**: Data transformation and aggregation. ### Next Steps: - Share the report link with the sales leadership team. - Set up Slack notifications for when the report is generated. ```
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