flow
Intelligent skill orchestrator that compiles natural language requests into secure, reusable workflows
Best use case
flow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Intelligent skill orchestrator that compiles natural language requests into secure, reusable workflows
Teams using flow should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/flow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How flow Compares
| Feature / Agent | flow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Intelligent skill orchestrator that compiles natural language requests into secure, reusable workflows
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
--- summary: Intelligent skill orchestrator that compiles natural language requests into secure, reusable workflows tags: - automation - workflow - nlp - security - orchestration - skill-builder - clawdbot - mcp --- # Flow Intelligent Skill Orchestrator for Clawdbot/MCP - compose natural language requests into secure, reusable FLOW skills. ## Capabilities - Parse natural language build requests - Search skill registry for reusable components - Security scan all skills before composition - Compile multiple skills into unified FLOW - Track skill usage for intelligent reuse - Dependency resolution with topological sorting ## How It Works 1. **Natural Language Input**: Describe what you want to build 2. **Intent Parsing**: Extract capabilities, tags, and execution steps 3. **Registry Search**: Find existing skills that match requirements 4. **Security Scan**: Check all components for malicious patterns 5. **Composition**: Merge skills into single executable FLOW 6. **Registration**: Save new FLOW for future reuse ## Usage ### Interactive Mode ``` python flow.py Flow> Build a web scraper that extracts prices and saves to CSV ``` ### CLI Mode ```bash python flow.py "Create an automation that monitors API endpoints" ``` ### List Skills ```bash python flow.py --list ``` ## Security Features - Code execution detection (eval, exec) - Data exfiltration pattern matching - Crypto mining indicator scanning - System modification attempt detection - AST-based code analysis - Obfuscation detection ## Architecture - `flow.py` - Main orchestrator - `natural_language_parser.py` - NLP for user intent - `skill_registry.py` - Reusable skill database - `skill_scanner_integration.py` - Security scanning - `skill_composer.py` - Compiles skills into FLOW ## Requirements - Python 3.8+ - No external dependencies for core functionality ## Author @bvinci1-design
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