workflow-orchestrator
Structural parity skeleton for queue-driven orchestration in a workflow context.
Why use this skill?
A deterministic queue-driven orchestration engine for OpenClaw. Manage complex multi-stage workflows with structural parity and robust state persistence.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/plgonzalezrx8/workflow-engineWhat This Skill Does
The workflow-orchestrator is a foundational skeleton designed for developers who require structural parity with canonical queue-driven orchestration within the OpenClaw environment. It acts as a deterministic state machine for managing complex multi-stage tasks without the overhead of external plugins. The skill strictly enforces the Wave 2 execution phase ordering: detection, understanding, derivation, proposal, generation, and validation. By utilizing this orchestration engine, users ensure that their AI-driven workflows maintain a consistent, trackable, and verifiable lifecycle. The skill handles state transitions explicitly—moving from extract to create, reflect, reweave, verify, and finally done—which allows for high-fidelity resume operations in the event of an interruption.
Installation
To integrate the workflow-orchestrator, follow these steps:
- Use the clawhub installation command:
clawhub install openclaw/skills/skills/plgonzalezrx8/workflow-engine - Navigate to the installation directory:
cd workflow-engine - Execute the provided setup script:
./install-hooks.sh - Alternatively, manually register the lifecycle routines using OpenClaw commands:
openclaw hooks enable session-orientopenclaw hooks enable write-validateopenclaw hooks enable session-capture
Use Cases
- Managing large-scale document processing tasks where state persistence is critical for auditability.
- Organizing complex project automation that requires multi-step derivation phases (e.g., code generation followed by security validation).
- Standardizing development workflows that rely on specific configuration files (
ops/config.yaml) and task queues. - Implementing batch processing jobs where individual file status must be tracked throughout the orchestration lifecycle.
Example Prompts
- "workflow-orchestrator project_alpha.yaml --batch 101"
- "orchestrate the current task queue and provide a handoff report --handoff"
- "workflow-orchestrator target_process --type generation"
Tips & Limitations
- Tip: Always maintain your
ops/derivation-manifest.mdto ensure the runtime loader can restore context accurately after a restart. - Tip: If the orchestrator fails, inspect the
ops/queue/directory to verify your YAML or JSON structure aligns with the required schema. - Limitation: This is a skeleton implementation. It does not support external plugin hooks. Any logic requiring external API connectivity must be handled outside this orchestrator's scope.
- Limitation: The orchestrator does not execute arbitrary code; it is designed for structural coordination only, making it exceptionally safe but restricted in its direct runtime capabilities.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-plgonzalezrx8-workflow-engine": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write
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