An intelligent meta-skill that converts successful AI interactions and repeatable processes into formal, reusable skill documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workflow-skillify
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-skillify 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 Skillify?
Workflow Skillify is a specialized tool designed to accelerate the growth of your agent library by capturing the logic of successful sessions. Instead of manually documenting every step of a new process, this skill analyzes session history, user corrections, and technical outcomes to generate a structured SKILL.md file. This ensures that valuable workflows are preserved as standardized Openclaw Skills that can be invoked reliably in future tasks.
By focusing on concrete execution and preserving user-specific constraints, Workflow Skillify bridges the gap between a one-off success and a repeatable automated capability. It is the primary mechanism for developers and power users to expand the functionality of their environment using Openclaw Skills without needing to write complex configuration files from scratch.
Workflow Skillify Use Cases
- Formalizing a multi-step refactoring process into a reusable development skill.
- Capturing a specific data analysis workflow discovered during a research session.
- Converting manual setup or deployment steps into a permanent asset within your Openclaw Skills library.
- Preserving complex user preferences and guardrails for future agent interactions.
How Workflow Skillify Works
- The agent reviews the current session history to summarize user goals, corrections, and final outcomes.
- It identifies the necessary inputs, expected outputs, and artifacts required for the workflow to succeed.
- If steps are ambiguous, the agent asks targeted questions to fill in missing details without over-interviewing.
- A clean SKILL.md is generated, following the standard format for trigger conditions and execution steps.
- The new skill is saved to the designated repository or local skill directory, making it instantly available for use.
Workflow Skillify Setup
Workflow Skillify is typically provided as a core utility within the agent framework. To use it, simply invoke the skill at the end of a successful session.
# Example command to trigger skill generation
/skillify
Ensure your environment is configured to allow writing to your Openclaw Skills directory.
Workflow Skillify Data Schema & Taxonomy
Workflow Skillify organizes captured data into a standardized structure within the generated markdown file:
| Section | Description |
|---|---|
| name | A unique, slug-friendly identifier for the skill. |
| workflow | A step-by-step numbered list of instructions for the agent. |
| inputs | The session history and user arguments required for execution. |
| outputs | The specific artifacts and success criteria generated by the skill. |
| guardrails | Crucial constraints and user-provided corrections to avoid past mistakes. |
Workflow Skillify Advanced Features
- Context-aware extraction that prioritizes user corrections over initial failed attempts.
- Intelligent parameter identification to automatically define inputs and optional arguments.
- Support for repository-level or personal-level scoping when saving new Openclaw Skills.
- Low-friction interviewing logic that only prompts for details missing from the session context.
SKILL.md
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