The Workflow Orchestration Skill compiles complex natural language business goals into statically validated Directed Acyclic Graph (DAG) execution plans for downstream engines.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workflow-orchestration-skill
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 workflow-orchestration-skill 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 Workflow Orchestration Skill?
The Workflow Orchestration Skill is a specialized developer tool designed to bridge the gap between abstract natural language goals and deterministic execution. It compiles high-level business requirements into a statically validated Intermediate Representation (Plan IR) formatted as a Directed Acyclic Graph (DAG). Rather than executing individual tasks itself, this skill functions strictly as an orchestrator, handling task decomposition, capability mapping, whitelist matching, and safety analysis. It is an essential structural component within the ecosystem of Openclaw Skills.
By decoupling the planning phase from the execution phase, it ensures that logical flaws, cycle loops, and unauthorized permission attempts are captured and mitigated statically. Downstream orchestration engines can confidently consume the resulting plans, achieving high-integrity automation with predictable execution behavior.
Workflow Orchestration Skill Use Cases
- Orchestrating multi-step, complex workflows from vague or high-level natural language descriptions.
- Decomposing agent goals into parallel and sequential steps with explicitly defined dependencies.
- Automatically matching required workflow tasks to a static whitelist of available agent capabilities.
- Statically validating complex execution sequences before running runtime engines to prevent deadlocks and loop execution.
- Enforcing multi-tenant security and scope boundaries at the planning layer before state changes occur.
How Workflow Orchestration Skill Works
- Plan Formulation: Synthesizes the provided business goal and the manifest of available capabilities to break down the task into distinct steps, determining sequence, parallel paths, and conditional branches.
- Structured Synthesis: Maps the conceptual steps into a concrete, schema-compliant JSON format matching the core specification of the Plan IR.
- Static Validation: Automatically executes an automated validation pipeline (checking JSON schema compliance, cycle topology via networkx, permission scopes, and white-list bindings).
- Execution Release: Outputs a unique planning identifier along with the validated Plan IR and its corresponding validation report to be executed by downstream engines.
Workflow Orchestration Skill Setup
Ensure you have Python 3.8+ installed along with the required libraries.
Install the required dependencies:
pip install jsonschema networkx pydantic
Compile your natural language goal into a validated execution plan:
python3 scripts/compile_plan.py --goal "Verify payroll data and generate a financial summary report" --manifest skills_manifest.json --output plan.json
Validate the schema and graph topology of your generated plan:
python3 scripts/validate_schema.py --plan plan.json
python3 scripts/validate_topology.py --plan plan.json
Workflow Orchestration Skill Data Schema & Taxonomy
The primary artifact generated is the plan.json conforming to a structured Plan IR format.
Node Structure
Each execution step (node) in the graph must contain the following properties:
node_id: Unique string identifier for the node.target_skill: The whitelisted skill bound to this task.purpose: Plaintext documentation detailing the node's task role.scoped_state_keys: Explicit array of state variables this node is authorized to read or modify.
Edge Structure
Transitions and dependencies between nodes are configured using edges:
from_node: The node that must complete first.to_node: The downstream node waiting on the predecessor.
Directory Taxonomy
| Path | Description |
|---|---|
references/ |
Rule sets for orchestration logic, DAG patterns, scoping boundaries, and guardrails. |
scripts/ |
Python executables for compilation, schema checking, validation, and skill binding. |
assets/ |
Schemas and raw reference plans showing input/output parameters. |
Workflow Orchestration Skill Advanced Features
- Topological Cycle Prevention: Uses deep graph analysis to block infinite loops and deadlocks statically.
- Strict Scope and Whitelist Verification: Guarantees execution paths are locked down only to approved APIs, preventing prompt injection bypasses.
- Robust Schema Verification: Automatically parses formatting constraints, conditional edge logic, and edge case parameters before downstream deployment.
- Standardized Fault Diagnostics: When validation fails, the system outputs structured error codes, recovery instructions, and difficulty suggestions to enable automated LLM-driven self-healing.
- Human-in-the-Loop Safeguarding: Identifies high-risk execution pathways during static analysis and flags them for manual supervisor approval.
SKILL.md
Loading
Related Openclaw Skills
Search Synthesis Expert
The Search Synthesis Expert skill uses sequential thinking and Playwright browser automation to decompose tasks, execute multi-source searches, and deliver highly credible, synthesized intelligence reports.
Research Harness
The research-harness skill enforces cognitive discipline, structured repository architecture, and strict governance rules for AI-native scientific experimentation and long-running LLM agent collaboration.
Google Maps Extractor (Apify) Skill
A powerful agent skill leveraging Apify's Google Maps Extractor to harvest local business directories, contact information, and detailed place metadata.
Academic Research Skills
An advanced AI-powered academic workflow skill designed to assist researchers in literature synthesis, paper writing, outlines, and systematic reviews.
Orchestration Reviewer Skill
An analytical tool designed to review, score, and optimize existing workflow plans (Plan IR) and DAGs for business goals, topology, and execution safety.
Remotion Best Practices
An expert guidelines skill for designing, optimizing, and rendering frame-accurate programmatic video templates in React using Remotion.
Featured*
