A comprehensive engineering intelligence skill for querying Developer Experience (DX) metrics, DORA data, and team performance via PostgreSQL.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dx-data-navigator
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 dx-data-navigator 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 DX Data Navigator?
DX Data Navigator is a technical bridge between your AI agent and a DX Data PostgreSQL database, specifically built for the Openclaw Skills ecosystem. It empowers developers and engineering managers to extract real-time insights from across their software delivery lifecycle, including pull request cycle times, deployment frequency, and developer sentiment. By providing direct access to the DX Data Cloud, this skill facilitates data-driven decision-making without the need for manual report generation.
This skill is particularly valuable for organizations looking to quantify the impact of process changes or new tool implementations. It supports complex relational queries across diverse domains such as source control, issue tracking, and automated surveys, making it a cornerstone for teams utilizing Openclaw Skills to optimize their internal developer platform.
DX Data Navigator Use Cases
- Tracking DORA metrics such as Deployment Frequency and Mean Time to Recovery (MTTR) across production environments.
- Monitoring the adoption and active usage of AI coding assistants like GitHub Copilot within specific engineering teams.
- Analyzing PR cycle times to identify bottlenecks in the code review and approval process.
- Benchmarking team-level developer experience scores against industry percentiles using Openclaw Skills datasets.
- Correlating Jira sprint velocity with actual code throughput to improve capacity planning.
How DX Data Navigator Works
- The AI agent identifies a request for engineering analytics or productivity data.
- The skill executes a schema discovery step by querying information_schema.columns to ensure table and column alignment.
- A structured SQL query is generated to target the appropriate data domain, such as the dx_snapshots or pull_requests tables.
- The skill handles complex joins between organizational structures and technical metadata, such as linking GitHub logins to internal team IDs.
- Aggregated data is returned to the Openclaw Skills environment, where it is formatted into actionable reports or trends.
DX Data Navigator Setup
To install the DX Data Navigator skill into your agent environment, execute the following command:
npx skills add pskoett/pskoett-ai-skills/dx-data-navigator
Ensure your MCP server configuration includes the necessary PostgreSQL connection strings to access the DX Data database.
DX Data Navigator Data Schema & Taxonomy
The skill organizes engineering data into several specialized domains to streamline Openclaw Skills queries:
| Domain | Primary Tables | Key Metrics |
|---|---|---|
| DX Surveys | dx_snapshots, dx_snapshot_items | Core 4 scores, sentiment, tool satisfaction |
| Code Review | pull_requests, pull_request_reviews | Cycle time, open_to_merge, review wait times |
| Delivery | deployments, incidents | Deployment success rate, MTTR, DORA benchmarks |
| AI Adoption | github_copilot_daily_usages | Active users, adoption percentage, usage trends |
| Project Management | jira_issues, jira_sprints | Story points, sprint velocity, cycle time by type |
DX Data Navigator Advanced Features
- Multi-table join logic to correlate developer sentiment with actual PR throughput and DORA metrics.
- Historical trend analysis using snapshot versioning to track organizational growth over time.
- Automated deduplication for survey data using group-by aggregation on snapshot item scores.
- Cross-platform user linking via verified emails to map GitHub activity to internal team hierarchies.
- Specialized support for business-hour variants of cycle time metrics for more accurate productivity reporting within Openclaw Skills.
SKILL.md
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