A protocol for AI agents to automatically trigger and execute installed skills based on conversation context and pre-defined rules.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-auto-use
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 skill-auto-use 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 Skill Auto-Use?
Skill Auto-Use is a high-efficiency workflow designed to remove the friction of manual skill invocation. By maintaining a dynamic trigger table, an AI agent can proactively identify when a specific tool is needed—whether it's a PDF converter, a research tool, or a web scraper—and execute it immediately. This ensures that the agent utilizes its full range of Openclaw Skills the moment they become relevant, providing a seamless and highly responsive user experience.
This approach shifts the agent from a reactive mode to a proactive one, where the installation of a new skill automatically expands the agent's autonomous capabilities. By mapping observable triggers such as file extensions, keywords, or task types to specific actions, Skill Auto-Use creates a smarter, more capable development environment.
Skill Auto-Use Use Cases
- Automatically converting document uploads to Markdown as soon as they are received.
- Triggering deep research sequences when the user asks complex technical questions.
- Initiating web scraping protocols immediately upon detecting a URL or data extraction request.
- Activating image generation or diagramming tools when visual representations are mentioned.
- Streamlining development by auto-triggering version control or CI/CD skills based on project context.
How Skill Auto-Use Works
- The agent maintains a trigger table in a central location like skill-triggers.md or a protocol file.
- For every user message, the agent scans the trigger table to match the current context against defined triggers.
- If a match is found, the agent executes the associated Openclaw Skills immediately without asking for confirmation.
- When a new skill is installed, the agent is required to add at least one corresponding trigger to the table before continuing.
- The agent performs periodic audits during heartbeat checks to ensure all skills are mapped and triggers are firing correctly.
Skill Auto-Use Setup
To set up Skill Auto-Use, you must define a trigger table within your workspace memory. You can create a dedicated file for this purpose:
touch skill-triggers.md
Add the following structure to your file to begin mapping your Openclaw Skills:
| Trigger | Skill | Action |
|---------|-------|--------|
| User sends a PDF | markdown-converter | Convert to Markdown |
| Research request | deep-research-pro | Multi-source research |
Finally, add a rule to your permanent workspace instructions to ensure that every new skill installation results in an immediate update to this table.
Skill Auto-Use Data Schema & Taxonomy
The skill relies on a structured Markdown table to map environmental cues to tool execution. The data is organized as follows:
| Column | Description |
|---|---|
| Trigger | The detectable event, such as a file type, keyword, or task category. |
| Skill | The specific name of the skill to be invoked. |
| Action | The specific command or processing step the agent should perform. |
These triggers are typically stored in skill-triggers.md or integrated into MEMORY.md to ensure they are loaded at the start of every session.
Skill Auto-Use Advanced Features
- Multi-match execution: Simultaneously trigger multiple Openclaw Skills if a single request satisfies several trigger conditions.
- Observable pattern detection: Triggers can be based on file types, emoji shortcuts, specific domains, or high-level task types like 'deploy' or 'scrape'.
- Automated skill auditing: Internal logic to identify and remove unused skills or add triggers for manual invocations that happen frequently.
- Protocol enforcement: Strict rules that prevent the existence of 'orphan' skills without defined triggers.
SKILL.md
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