Automate log investigations and incident diagnostics using Volcengine Cloud Log Service (CLS) to identify and resolve errors faster.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install volcengine-observability-cls
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 volcengine-observability-cls 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 Volcengine CLS Observability Skill?
The Volcengine CLS Observability skill is a specialized tool designed to handle structured log investigations and troubleshooting workflows within the Volcengine Cloud Log Service environment. It empowers developers and DevOps teams to efficiently parse logs, run aggregation queries, and extract actionable insights during critical incident diagnostics. As a key component of Openclaw Skills, it bridges the gap between raw log data and remediation.
By leveraging this skill, users can automate the complex process of building queries and summarizing anomaly dimensions. Whether you are performing routine health checks or responding to urgent system failures, this skill provides the structure needed to return concrete remediation suggestions and reusable query templates for future use.
Volcengine CLS Observability Skill Use Cases
- Performing deep-dive error analysis during production incidents.
- Generating aggregation dashboards to monitor service performance over specific time ranges.
- Conducting multi-topic log searches to correlate events across different services.
- Building a library of reusable query templates for recurring diagnostic tasks.
How Volcengine CLS Observability Skill Works
- The skill first confirms the specific Volcengine project, logset, and topic along with the target time window.
- It builds a structured query using appropriate filters, field parsing rules, and aggregation functions.
- The skill executes the query against the Volcengine CLS API and retrieves the relevant log data.
- It analyzes the results to identify top error patterns, service impacts, and anomaly dimensions.
- Finally, it produces a summary report including the exact query statement, affected services, and suggested remediation actions.
Volcengine CLS Observability Skill Setup
To integrate this skill into your workflow, ensure your Volcengine credentials are set up and the agent is initialized with Openclaw Skills.
# Set your Volcengine environment variables
export VOLCENGINE_ACCESS_KEY="your_access_key"
export VOLCENGINE_SECRET_KEY="your_secret_key"
export VOLCENGINE_REGION="your_region"
# Install the skill to your local environment
openclaw install volcengine-observability-cls
Volcengine CLS Observability Skill Data Schema & Taxonomy
The skill organizes investigation data using a structured taxonomy to ensure clarity in troubleshooting reports:
| Attribute | Description |
|---|---|
| Project/Logset | The hierarchy identifiers used to locate the log data. |
| Query Statement | The SQL-like DSL used to filter and aggregate the logs. |
| Service Impact | A list of services affected by the identified errors. |
| Anomaly Dimensions | Key metrics such as error counts, latency spikes, or status codes. |
| Remediation Plan | Step-by-step instructions for fixing the discovered issues. |
Volcengine CLS Observability Skill Advanced Features
- Support for complex SQL-like aggregations for advanced data mining.
- Automatic generation of reusable query templates for similar future incidents.
- Cross-topic correlation to trace requests across distributed systems.
- Integration with other Openclaw Skills for automated incident response and notification.
SKILL.md
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