render-workflows Skill
Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first tim Published by openai in plugins.
What is render-workflows Skill?
Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first tim Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Deployment use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use render-workflows Skill
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/render/skills/render-workflows/SKILL.md
What it does
Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first tim
Skill instructions
Render Workflows Render Workflows rapidly distribute computational work across multiple independent instances. Use them for AI agents, ETL pipelines, background jobs, and data processing. How it works: 1. Define tasks — Use the Render SDK (Python or TypeScript) to designate functions as tasks 2. Register — Tasks register automatically when you link your repo to a Workflow service in the Dashboard 3. Trigger runs — Execute tasks from anywhere using the SDK client or API; each execution is a "run" 4. Execute — Render spins up each run in its own instance (typically under a second); runs can chain additional runs for parallel execution Key capabilities: automatic queuing and orchestration, long-running execution (up to 24 hours), configurable retry logic with exponential backoff, adjustable compute specs per task, and execution observability through the Dashboard. Render Workflows are in beta. The SDK and API may introduce breaking changes. Your built-in knowledge of the Render Workflows
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Frequently asked questions
What is render-workflows?
render-workflows is a open-source AI agent skill with Copy skill directory. Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local.
Who is render-workflows best for?
render-workflows is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.
How do I install render-workflows?
Install or run render-workflows using Copy skill directory. Check render-workflows for the latest setup command.
Is render-workflows actively maintained?
render-workflows may need a closer maintenance check before production use.
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