A high-performance intelligence hub that merges Graphify knowledge graphs, Everything Claude Code workflows, and OpenClaw automation for expert-level coding.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fusion-workflow-hub
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 fusion-workflow-hub 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 Fusion Workflow Hub?
Fusion Workflow Hub is a powerhouse integration designed to synchronize the capabilities of three major AI development ecosystems: Graphify, Everything Claude Code (ECC), and OpenClaw. This skill serves as a centralized efficiency center for developers who need to navigate complex codebases with high precision. By leveraging Graphify, it builds semantic knowledge graphs that reduce token consumption by up to 71.5x, while ECC provides a massive library of 151 specialized skills and 36 agents. This combination ensures that Openclaw Skills users can move from high-level architectural understanding to granular code implementation without losing context.
Fusion Workflow Hub Use Cases
- Deep architectural analysis of large-scale repositories to identify God Nodes and dependencies.
- Implementing standardized Test-Driven Development (TDD) cycles with automated planning and code reviews.
- Continuous codebase optimization through strategic context compression and incremental learning.
- Cross-module concept tracking to understand how disparate parts of a system interact.
How Fusion Workflow Hub Works
- The skill starts by scanning the target directory using Graphify to build a persistent knowledge graph and SHA256-based cache.
- It generates a comprehensive GRAPH_REPORT.md, providing an immediate overview of the project structure and potential bottlenecks.
- Developers use the ECC command layer to trigger specific agents, such as the tdd-workflow for new feature planning.
- As code is written, the integrated code-review skill analyzes changes for quality and consistency.
- The workflow concludes with an incremental update to the knowledge graph, ensuring the AI model's project memory stays current.
Fusion Workflow Hub Setup
To get started with this skill, ensure you have Python 3.8+ and install the necessary dependencies via pip:
pip install graphifyy python-docx openpyxl pillow
Once installed, you can initialize your first project graph within the Openclaw Skills environment:
python -m graphify <your_project_path>
Fusion Workflow Hub Data Schema & Taxonomy
The skill manages its intelligence data within a dedicated graphify-out/ directory, structured as follows:
| File/Folder | Type | Purpose |
|---|---|---|
graph.html |
Visualization | An interactive web-based map of the codebase architecture. |
GRAPH_REPORT.md |
Markdown | High-level summary including suggested queries and node analysis. |
graph.json |
JSON | Persistent graph data used for contextual queries. |
cache/ |
Folder | Optimized SHA256 hashes for fast incremental scanning. |
Fusion Workflow Hub Advanced Features
- Smart Path Tracking: Trace the logic flow between any two concepts in the codebase using conceptual pathfinding.
- Token Efficiency: Achieve significant cost savings by querying the graph instead of loading entire files into the AI context.
- Strategic Compression: Utilize the strategic-compact skill to handle massive amounts of context during complex debugging sessions.
- Incremental Graph Updates: Sync changes to the knowledge graph in real-time without re-scanning the entire project.
SKILL.md
Loading
Related Openclaw Skills
Share One-Time Link
A secure file-sharing skill that generates tokenized, self-destructing public download links using a local server and Cloudflare Tunnel.
Knowledge Compiler
An intelligent skill that teaches AI agents to incrementally compile source files into persistent, cross-session wikis for long-term knowledge accumulation.
Solo Hub Guide
An interactive, human-in-the-loop tutor that provides step-by-step guidance for navigating the Solo Hub web UI and fine-tuning workflows.
proxy-veil
An MCP-compatible residential proxy server designed to give AI agents access to over 2 million real home devices for seamless web scraping and automation.
arXiv to Zotero
A powerful automation tool that fetches recent arXiv papers based on your criteria and imports them directly into your Zotero library.
Mem0 Memory Manager
A persistent long-term memory layer that enables AI agents to remember your identity, tech stack, and project rules across every session.
Featured*
