A systematic documentation tool for AI agents to log problems, solutions, and verified configurations into long-term memory.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-experience-logger
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 task-experience-logger 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 Task Experience Logger?
The Task Experience Logger is a specialized framework designed for AI coding agents to capture and categorize critical data during task execution. By maintaining a structured record of errors, resolution steps, and best practices, it ensures that every lesson learned is preserved for future reference. This skill facilitates continuous improvement by transforming ephemeral task interactions into a searchable, structured knowledge base.
It is an essential component for developers using Openclaw Skills who want to implement robust long-term memory and error-handling strategies. By documenting the root cause of issues and validating tool configurations in real-time, the logger prevents the repetition of past mistakes and accelerates the development lifecycle.
Task Experience Logger Use Cases
- Documenting complex debugging sessions and root cause analyses.
- Maintaining a list of verified tool configurations and specific versions.
- Creating a centralized repository of common issues and their corresponding fixes.
- Summarizing task outcomes to automatically update global agent memory files.
- Tracking the urgency and impact of problems across different development modules.
How Task Experience Logger Works
- Initialize a structured directory under task-experiences/ categorized by the current date.
- Capture real-time problem descriptions, full error logs, and urgency levels (P0-P3) during the coding process.
- Document the specific steps taken to resolve the issue, including alternative methods and validation steps.
- Extract reusable lessons and best practices to prevent recurring errors in future sessions.
- Synchronize key insights and verified configurations into the long-term MEMORY.md file at the end of the task lifecycle.
Task Experience Logger Setup
To integrate the Task Experience Logger into your project, create the necessary directory structure in your project root and ensure the agent has write access.
mkdir -p task-experiences/$(date +%Y-%m-%d)
touch task-experiences/lessons-learned.md task-experiences/verified-tools.md task-experiences/common-issues.md
Configure your environment to allow Openclaw Skills to read and write within the task-experiences/ directory to enable automated logging.
Task Experience Logger Data Schema & Taxonomy
The skill organizes data through a hierarchical file system and specific Markdown templates to ensure clarity and searchability:
| Component | Description | File/Path |
|---|---|---|
| Daily Folders | Archives specific task reports and quick notes by date | task-experiences/YYYY-MM-DD/ |
| Task Reports | Comprehensive log of specific task execution steps | task-name-report.md |
| Lessons Learned | Aggregated insights and preventive measures | lessons-learned.md |
| Verified Tools | List of tool versions and configuration statuses (✅/❌) | verified-tools.md |
| Common Issues | Database of recurring problems and standard fixes | common-issues.md |
Task Experience Logger Advanced Features
- Automated long-term memory updates based on prioritized insight categories.
- Standardized Markdown templates for high-urgency (P0/P1) error reporting and analysis.
- Tool validation tracking to ensure environment consistency across different Openclaw Skills sessions.
- Keyword-based tagging for optimized searchability within large technical knowledge bases.
- Periodic review hooks to consolidate weekly experiences into global project guidelines.
SKILL.md
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