Agent Skills
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Highly Recommended

Raw

Let AI agents say goodbye to chaos and organize workflows like pr...
The invisible command center for AI agents
Core Principle:
RAW is a local workflow orchestration platform designed specifically for AI agents. It separates intelligence (the agent) from infrastructure (RAW): RAW handles deterministic engineering like state management and logging, while the agent focuses on probabilistic reasoning like understanding user intent. Think of it as giving your AI a Swiss Army knife for building and executing complex workflows.
KEY FEATURES
01Intelligence Separation
Let AI focus on thinking while RAW handles the dirty work
02State Management
Manage AI's working state like Git manages code
03One-click Retry
Never start over - automatically resumes from breakpoints
04Execution History
Complete record of every decision path
github.com/mpuig/raw
databases·mpuig·2026-01-10·⭐ 0·🔱 1
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/mpuig/raw.git
SSH
git clone [email protected]:mpuig/raw.git
GitHub CLI
gh repo clone mpuig/raw
FAQ
Q: What are the installation steps for Raw Agent Skills?
1.Define Intent: Tell AI what you want in natural language
2.Auto-build: AI analyzes needs and creates workflow
3.Validate: Test with mock data first
4.Execute: Run full workflow with one click
Q: What are the highlights of Raw Agent Skills?
  • AI-native design
  • Secure local operation
  • Auto-recovery from failures
  • Full execution tracing
Q: What are the use cases for Raw Agent Skills?
  • Automated data scraping & analysis
  • Building reusable tool libraries
  • Breaking down complex tasks
  • Debugging & optimizing AI workflows
Q: What are the limitations of Raw Agent Skills?
  • Currently Python-only
  • Requires technical expertise
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