dotagents is a centralized repository for all AI hooks, commands, skills, and AGENT/CLAUDE.md files. It provides a single source of truth for operations teams to manage and deploy AI tools efficiently. The skill integrates with Claude and is designed for safe, repeatable execution.
git clone https://github.com/iannuttall/dotagents.githttps://github.com/iannuttall/dotagents
["Identify the AI skill you want to deploy or manage in the dotagents repository. Use the search function to locate the skill by name or category.","Review the AGENT/CLAUDE.md file associated with the skill to understand its configuration, safety protocols, and deployment requirements. Note any specific parameters or constraints.","Configure the skill for your team or project by updating the relevant settings in the dotagents repository. Ensure all safety protocols are enabled.","Trigger a test run with a sample input to verify the skill's functionality. Use the 'test_run' command in dotagents to execute the test and capture the output.","Deploy the skill to production if the test run is successful. Monitor the skill's performance and logs in dotagents to ensure it operates as expected. Report any issues or deviations immediately."]
Easily manage and link AI tool configurations across multiple projects.
Create and maintain a centralized repository for commands and skills used by various AI clients.
Quickly repair or update symlinks for AI tools without manual intervention.
Automate the backup process of your AI configurations to ensure data safety.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/iannuttall/dotagentsCopy 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 dotagents to deploy and manage the AI skill '[SKILL_NAME]' for [TEAM/PROJECT]. Ensure the deployment follows the [SAFETY_PROTOCOLS] outlined in the AGENT/CLAUDE.md file. Verify the skill's configuration in the dotagents repository and trigger a test run with [TEST_INPUT]. Report any errors or deviations from expected behavior.
The dotagents repository was queried for the latest version of the 'customer_support_automation' skill. The AGENT/CLAUDE.md file specified a safety protocol requiring input validation and rate limiting. The skill was deployed to the 'support-team' project with the following configuration:
```yaml
config:
max_concurrent_requests: 5
input_validation: strict
rate_limit: 100 requests/minute
```
A test run was executed with the input: 'Resolve customer ticket #12345 for John Doe with issue: delayed order #789'. The skill processed the request and returned:
```json
{
"status": "completed",
"actions_taken": [
{
"action": "query_order_status",
"parameters": { "order_id": "789" },
"result": "Order shipped on 2024-05-15, tracking #TRK123456"
},
{
"action": "update_ticket",
"parameters": {
"ticket_id": "12345",
"status": "resolved",
"resolution": "Order shipped on 2024-05-15. Tracking number provided to customer."
},
"result": "Ticket updated successfully"
}
],
"next_steps": [
"Notify customer via email with tracking details",
"Log resolution in CRM under account #JDOE"
]
}
```
No errors were detected during the test run. The skill is now ready for production use.Agents that listen, think and act for you.
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