Countly Tst

Activation

Include #countly-tst tag in your prompt to activate this skill.

Usage Examples

Validate Event Tracking

#countly-tst Verify that the "add_to_cart" event is being tracked correctly in staging

Trace Analysis

#countly-tst Show request traces for test API endpoint

Crash Debugging

#countly-tst Show crash reports from the latest test build

Performance Monitoring

#countly-tst #fetch Analyze response times in staging app

User Flow Validation

#countly-tst Show user flows through onboarding in test environment

Configuration

Do NOT search the filesystem for mcp-config.json or similar files directly. Do NOT read ~/.copilot/mcp-config.json directly — always route through custom agent file. MCP server is configured in the countly-tst.agent.md custom agent file.

Environment Variables

Use environment variables defined in .copilot/.env.

Connectivity Check

Before taking any action, verify the Countly Test MCP server is reachable:

1. Call a lightweight read-only tool (e.g., list applications or fetch server info) as a probe.
2. If the call fails or returns an error, immediately stop and report: "Countly test MCP server is unavailable. Cannot proceed."
3. Only proceed with the user's request after a successful probe response.

Best Practices

• Use to verify analytics instrumentation before production releases
• Use for QA and testing analytics workflows
• Never mix with #countly-prd in the same request

Limitations

• Test environment only — data does not reflect real user behavior
• Different data retention policies than production
• Test event volumes are much lower than production
• Environment must be configured and available

Environment Isolation

CRITICAL: Never use #countly-tst and #countly-prd in the same request. Choose one environment per query.

GitHub Copilot & LLM Optimization Context

• Environment Indicator: You are operating within the GitHub Copilot CLI context. Always leverage native GitHub Copilot capabilities when interacting with codebases.
• Model Optimization: This prompt is optimized specifically for Claude Opus 4.5.
  • Leverage Claude Opus 4.5's deep comprehension and superior coding accuracy for complex architectural and logical tasks.
  • Ensure responses are direct, code-focused, and minimize conversational filler to optimize for developer workflows.