A specialized skill to extract error data and failed AI attempts into a clean, structured help request document.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stuck
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 stuck using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Stuck skill is a developer-centric tool designed for when AI coding assistants hit a wall. It analyzes conversation logs to pinpoint why an AI is failing—whether it is caught in a loop, regressing, or diverging—and compiles this data into a standardized HELP_REQUEST.md file. This ensures that when you seek human or secondary AI assistance, you provide all necessary context without manual effort.
By leveraging Openclaw Skills, developers can transform frustrating debugging loops into actionable reports. The tool handles the heavy lifting of scanning logs, identifying failure patterns, and redacting sensitive information like API keys and local paths before sharing.
Ensure you have python3 installed and the Openclaw Skills environment configured.
# The skill requires the following script path to exist:
# ~/.claude/skills/stuck/scripts/parse_conversations.py
# Trigger the skill within your AI IDE:
# Type 'stuck' or 'help request'
The skill generates a HELP_REQUEST.md file with the following structure:
| Section | Description |
|---|---|
| Problem | Single-sentence summary of the issue. |
| Environment | Detected AI tools, tech stack, and session duration. |
| Error Info | Raw, unedited error logs from the session. |
| AI Attempts | Chronological list of fixes tried and their results. |
| Failure Mode | Automated classification (e.g., Loop, Regression). |
| Relevant Code | Targeted file paths and functions involved. |
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