A robust multi-agent orchestration framework for executing complex software development pipelines autonomously within OpenClaw.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install antfarm-workflows
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install antfarm-workflows using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Antfarm Workflows?
Antfarm Workflows provide a sophisticated multi-agent pipeline environment for Openclaw Skills, enabling a team of specialized agents to collaborate on complex technical tasks. By utilizing a sequence of specialized roles—including planners, developers, verifiers, testers, and reviewers—this skill automates the entire lifecycle of software creation, from initial triage to final pull request. Each agent operates autonomously, polling a shared SQLite database to claim and execute specific steps in a predefined pipeline.
This system transforms Openclaw Skills from simple assistants into a powerful, autonomous workforce. By leveraging cron-based polling and a decentralized architecture, Antfarm ensures that large-scale technical projects move forward without constant manual intervention, passing critical context seamlessly between specialized agents to ensure technical requirements are met at every stage.
Antfarm Workflows Use Cases
- Automating the end-to-end lifecycle of new feature development, including planning, coding, and verification.
- Streamlining bug triage and resolution by deploying autonomous investigation and fix agents.
- Conducting comprehensive security audits that automatically scan, prioritize, and patch vulnerabilities.
- Orchestrating complex refactors that require multiple verification and testing loops before production.
How Antfarm Workflows Works
- Specialized agents are initialized with staggered cron jobs that periodically poll a central SQLite database for pending workflow steps.
- When a user initiates a workflow run, the first agent in the pipeline (e.g., the planner) claims the step and begins execution.
- Critical technical context and output variables are passed to the next stage via key-value pairs stored within the agent output.
- Subsequent agents, such as the developer or tester, autonomously claim their respective steps as the previous ones are marked as complete.
- The process continues through all pipeline stages, including verification and PR creation, until the final goal is achieved or a failure requires human intervention.
Antfarm Workflows Setup
To begin using these Openclaw Skills, you must first install the antfarm environment and its associated dashboard:
node ~/.openclaw/workspace/antfarm/dist/cli/cli.js install
To initiate a specific workflow, use the run command with a detailed task string containing acceptance criteria:
node ~/.openclaw/workspace/antfarm/dist/cli/cli.js workflow run <workflow-id> "<detailed-task-string>"
You can monitor the progress of your agents via the integrated web dashboard:
node ~/.openclaw/workspace/antfarm/dist/cli/cli.js dashboard start
Antfarm Workflows Data Schema & Taxonomy
Antfarm organizes its operational data within an SQLite database, ensuring persistent state management across different Openclaw Skills agents. The data is structured as follows:
| Component | Function |
|---|---|
| Runs | High-level containers for workflow instances, tracked via unique run IDs. |
| Steps | Individual pipeline stages (plan, setup, develop, etc.) with specific status flags. |
| Stories | Granular sub-tasks generated during development workflows for detailed tracking. |
| Logs | Centralized execution logs for debugging and auditing agent behavior. |
Context is maintained between steps using a specific metadata taxonomy where agents output data in a KEY: value format, which is then parsed and made available to the next agent in the sequence.
Antfarm Workflows Advanced Features
- Autonomous polling via staggered 15-minute cron jobs, allowing for truly hands-off multi-agent orchestration.
- Manual force-triggering capabilities to bypass wait times and execute specific agent jobs immediately using the cron tool.
- Robust error recovery with the resume command, allowing failed pipelines to restart from the exact point of failure.
- Extensible workflow architecture supporting custom YAML definitions for specialized agent pipelines.
- Real-time monitoring and run management through a dedicated CLI-powered dashboard.
SKILL.md
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