Lobster is a Clawdbot-native workflow shell: a typed, local-first “macro engine” that turns skills/tools into composable pipelines and safe automations. and lets Clawdbot call those workflows in one step.
git clone https://github.com/moltbot/lobster.gitLobster is an innovative Clawdbot-native workflow shell designed to enhance AI automation by allowing users to create composable pipelines and safe automations. This intermediate-level skill functions as a typed, local-first macro engine that simplifies the process of integrating various skills and tools into cohesive workflows. By leveraging Lobster, users can streamline their automation processes, enabling Clawdbot to execute complex workflows with a single command. The primary benefit of using Lobster lies in its ability to significantly reduce the complexity of workflow automation. While the exact time savings are currently unknown, the efficiency gained from creating reusable and composable workflows can lead to substantial productivity improvements. Developers, product managers, and AI practitioners will find value in Lobster as it allows them to automate repetitive tasks, thus freeing up time for more strategic initiatives. Lobster is particularly suited for teams looking to enhance their AI-first workflows. For instance, a data engineering team could utilize Lobster to automate data ingestion processes, while a frontend development team might streamline the deployment of UI components. By integrating Lobster into their existing workflows, users can achieve a higher level of operational efficiency and reduce the potential for errors in their automation tasks. With a moderate implementation difficulty, Lobster can be set up in approximately 30 minutes, making it accessible for users with intermediate technical skills. While there are no specific departmental requirements, its versatility makes it applicable across various roles. As AI automation continues to evolve, Lobster stands out as a practical tool that empowers users to optimize their workflows and harness the full potential of AI agents.
["Identify the process you want to automate. Break it down into discrete steps.","For each step, determine the appropriate tool or skill to use. Ensure the tools are available in Clawdbot.","Write the Lobster workflow script. Use the Lobster syntax to define the workflow and its steps.","Test the workflow in Clawdbot. Make sure each step works as expected and the workflow produces the desired output.","Trigger the workflow using a single command in Clawdbot. Monitor the workflow to ensure it runs smoothly."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/moltbot/lobsterCopy 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.
Create a Lobster workflow that automates [PROCESS] for [TEAM]. The workflow should include [STEP 1], [STEP 2], and [STEP 3]. Ensure the workflow is composable and can be triggered by a single command in Clawdbot.
Here's a Lobster workflow that automates the weekly sales report generation for the sales team:
```lobster
workflow generate_sales_report {
step 1: fetch_sales_data {
tool: sales_api
input: {
date_range: "last_week"
}
}
step 2: clean_data {
tool: data_cleaner
input: {
data: fetch_sales_data.output
}
}
step 3: generate_report {
tool: report_generator
input: {
data: clean_data.output
template: "weekly_sales_template"
}
}
step 4: send_report {
tool: email_sender
input: {
recipients: "sales_team@company.com"
subject: "Weekly Sales Report"
body: "Please find attached the weekly sales report."
attachment: generate_report.output
}
}
}
```
This workflow can be triggered by a single command in Clawdbot: `run generate_sales_report`. The workflow is composable, meaning that individual steps can be reused in other workflows.Your one-stop shop for church and ministry supplies.
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