Use this skill to run Twill workflows through the public `v1` API. It allows users to create and manage coding tasks effectively, supporting real-time job logs and scheduling capabilities.
$ npx skills add https://github.com/twillai/skills --skill twill-cloud-coding-agentTwill Cloud Coding Agent provides programmatic access to Twill's public v1 API for creating and managing coding tasks at scale. It supports full task lifecycle management including creation, listing, updating, approval workflows, and cancellation. The skill enables real-time job log streaming via Server-Sent Events, allowing you to monitor task progress as it runs. You can also create, schedule, pause, and resume scheduled tasks using cron expressions with timezone support. This is ideal for teams integrating Twill into CI/CD pipelines, automating coding workflows, or building custom task management systems that leverage Claude Code, Cursor, or other AI agents.
Set the API key and optional base URL before making API calls.
Create and manage coding tasks with custom branches
Stream job logs in real time and cancel running jobs
Schedule recurring coding tasks with timezone support
List repositories and export Claude teleport sessions
$ npx skills add https://github.com/twillai/skills --skill twill-cloud-coding-agentgit clone https://github.com/twillai/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.
Run a Twill workflow for [COMPANY] in the [INDUSTRY] industry using the public v1 API. Execute the workflow named '[WORKFLOW_NAME]' with the following parameters: [PARAMETERS_JSON]. Return the job status, logs, and output in real-time.
## Twill Cloud Coding Agent - Workflow Execution Report ### Job Status - **Workflow Name**: `data-pipeline-2024` - **Job ID**: `twl_789abc123` - **Status**: `COMPLETED` ✅ - **Duration**: `4 minutes 12 seconds` ### Execution Logs ``` 2024-05-20 14:30:15 | Starting workflow execution... 2024-05-20 14:30:17 | Validating input parameters... 2024-05-20 14:30:20 | Executing step 1: Data Extraction 2024-05-20 14:31:45 | Step 1 completed successfully (Duration: 1m 25s) 2024-05-20 14:31:46 | Executing step 2: Transformation 2024-05-20 14:33:02 | Step 2 completed successfully (Duration: 1m 16s) 2024-05-20 14:33:03 | Executing step 3: Loading 2024-05-20 14:34:18 | Step 3 completed successfully (Duration: 1m 15s) 2024-05-20 14:34:19 | Workflow execution completed. ``` ### Output Summary - **Records Processed**: `12,487` - **Errors Encountered**: `0` - **Data Integrity Check**: `PASSED` - **Output Location**: `s3://company-data-lake/processed/2024/05/20/` ### Next Steps 1. Review the output data in the specified S3 location. 2. Trigger downstream processes if required. 3. Archive this execution log for audit purposes. --- *Workflow executed via Twill Cloud Coding Agent (v1 API)*
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