A standardized communication protocol that ensures AI agents provide consistent status updates and concise two-line summaries after every action.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install interaction-pipeline
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install interaction-pipeline using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Interaction Pipeline skill is designed to bring operational discipline to AI agent communications. It establishes a rigorous status flow and summary format that ensures users are never left guessing about an agent's progress or intent. By implementing this skill, developers can enforce a predictable lifecycle for every tool execution within the ecosystem of Openclaw Skills, making autonomous agents more reliable and easier to monitor.
This skill acts as a middleware layer that intercepts tool outputs to provide a structured STARTED, IN_PROGRESS, and DONE/BLOCKED state machine. It prioritizes clarity by overriding default LLM verbosity with high-signal, actionable feedback, which is essential for maintaining trust in automated workflows.
To integrate the Interaction Pipeline into your agent configuration, add the skill key to your active manifest. This skill is designed to function as a post-execution hook for all other Openclaw Skills.
# Add the skill to your local environment
openclaw install interaction-pipeline
The Interaction Pipeline follows a strict state transition model and output schema to ensure compatibility across different interfaces.
| State | Definition | Requirement |
|---|---|---|
| STARTED | Task initialization | Immediate log |
| IN_PROGRESS | Execution phase | Mid-task updates allowed |
| DONE | Successful completion | Mandatory 2-line summary |
| BLOCKED | Execution failure | Error cause + concrete fix |
Output Format:
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