A sophisticated failure analysis and continuous learning system that converts errors into actionable organizational knowledge.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install failure-analyzer
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 failure-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Failure Analyzer is an essential component within the Openclaw Skills ecosystem designed to turn every mistake into a growth opportunity. It functions as a cross-skill layer that monitors for errors, performance drops, and task failures, applying a rigorous 5 Whys analysis to uncover root causes rather than just treating symptoms. By integrating this skill, your AI agents move beyond static execution into a state of continuous improvement, where historical data informs future actions to prevent the repetition of costly mistakes.
Built to support technical, strategic, and operational workflows, Failure Analyzer maintains a structured knowledge base of failures and solutions. This ensures that as you deploy more Openclaw Skills, the entire system becomes progressively more resilient. Whether dealing with API authentication issues in automation or sub-optimal conversion rates in marketing, this system provides the analytical framework needed for self-correcting AI behavior.
To activate the failure analysis system, ensure the skill is registered within your agent configuration.
# Install the skill via the Openclaw Skills manager
openclaw install failure-analyzer
# Configure the persistent storage directory
mkdir -p /moltworker/data/learning/
Once installed, the auto_trigger mechanism will monitor all active skills for failure keywords like 'error', 'fail', or 'not working'.
The skill organizes its experience in a structured directory at /moltworker/data/learning/ using the following schema:
| File | Purpose |
|---|---|
| failures.json | Individual records of every detected failure and its metadata. |
| patterns.json | Aggregated data on recurring issues and similarity clusters. |
| solutions.json | A catalog of historical solutions and their success rates. |
| improvements.json | A log of systemic changes applied to the agent's logic. |
| metrics.json | Quantitative tracking of recovery speed and prevention efficacy. |
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