An intelligent workflow analysis engine that identifies bottlenecks and automates repetitive tasks to maximize execution efficiency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workflow-optimizer
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-optimizer 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 Optimizer?
The workflow-optimizer is a powerful diagnostic and improvement engine designed for Openclaw Skills to refine task execution. It functions as a specialized auditor for your AI agent's operations, breaking down complex workflows into manageable steps to identify inefficiencies such as high error rates, manual redundancies, and time-consuming bottlenecks.
By leveraging this skill, developers can transform raw execution data into actionable optimization strategies. It provides a structured framework to eliminate unnecessary steps, simplify complex logic, and transition manual processes into automated scripts, ultimately freeing up developer time for high-value innovation.
Workflow Optimizer Use Cases
- Analyzing current skill development cycles to identify hidden delays.
- Pinpointing why specific automated tasks are failing or running slower than average.
- Generating data-driven optimization plans for daily reporting and review workflows.
- Identifying high-frequency manual tasks that are prime candidates for script-based automation.
- Evaluating the return on investment (ROI) and efficiency gains after implementing workflow changes.
How Workflow Optimizer Works
- Data Acquisition: The engine collects execution data and task metrics from the active environment.
- Process Decomposition: It uses Work Breakdown Structure (WBS) to map out steps, durations, and dependency relationships.
- Bottleneck Detection: The system flags any step where time consumption is 2x the average or error rates exceed 10%.
- Strategy Generation: It applies ECRS logic (Eliminate, Combine, Rearrange, Simplify) to propose specific improvements.
- Automation Mapping: The skill identifies rule-based, repetitive tasks and recommends automation via Shell, Python, or Webhooks.
- Impact Tracking: Post-implementation, it compares pre- and post-optimization metrics to validate performance improvements.
Workflow Optimizer Setup
To integrate this capability into your Openclaw Skills environment, follow these steps:
# Add the workflow-optimizer to your project
openclaw add workflow-optimizer
# Initialize the tracking module
openclaw run workflow-optimizer --init-tracking
# Run your first workflow analysis
openclaw run workflow-optimizer --analyze "your-workflow-name"
Workflow Optimizer Data Schema & Taxonomy
The skill organizes optimization data into structured reports and comparison tables:
| Component | Description | Metadata Captured |
|---|---|---|
| Step Analysis | Breakdown of workflow units | Name, Duration, Dependency, Bottleneck Flag |
| Bottleneck Log | Detailed inefficiency report | Type (Technical/Resource/Info), Error Rate, Impact |
| Optimization Plan | Proposed changes | Action (Eliminate/Simplify/Automate), Difficulty, Est. Gain |
| ROI Metrics | Performance tracking | Time Saved, Error Reduction, User Satisfaction |
Workflow Optimizer Advanced Features
- Critical Path Analysis to visualize the most vital sequence of tasks in complex projects.
- Automatic Script Generation for recommended Python or Shell-based automation tasks.
- Predictive Optimization (v0.2.0) to anticipate bottlenecks before they impact production.
- Multi-tier Reporting suitable for individual creators, SMEs, and large-scale enterprises.
- Integration with system-level tracking for continuous, hands-free data collection.
SKILL.md
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