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.
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 new automation workflow using Lobster for [TASK]. The workflow should include the following steps: [STEP 1], [STEP 2], and [STEP 3]. Ensure that each step is clearly defined and can be executed in sequence.
Automation Workflow: Task: Generate Weekly Sales Report Step 1: Gather sales data from the last week using the Sales API. This should include total sales, number of transactions, and top-selling products. Step 2: Analyze the gathered data to identify trends, such as which products had the highest sales growth compared to the previous week. Step 3: Format the analysis into a visual report using the Reporting Tool, including graphs and key insights, and automatically send this report to the sales team via email. This workflow will streamline the process of generating and distributing the weekly sales report, saving time and ensuring that the sales team is always informed of performance trends.
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