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subagent-poc-orchestrator

Orchestrate BlazeMeter and Datadog subagent PoC workflows and generate debug manifests.

4|1|Updated Aug 22, 2025
Search Tags:#automation#subagent#orchestrator#datadog#poc#blazemeter#debug-manifest
One-click install
npx skills add https://github.com/canyonlabz/mcp-perf-suite --skill subagent-poc-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: subagent-poc-orchestrator
Source: https://github.com/canyonlabz/mcp-perf-suite/tree/main/.cursor/skills/subagent-poc-orchestrator
Command: npx skills add https://github.com/canyonlabz/mcp-perf-suite --skill subagent-poc-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TEMPORARY proof-of-concept orchestrator for testing BlazeMeter and Datadog subagents. Use when the user mentions subagent testing, subagent POC, or wants to test the blazemeter-extractor and datadog-extractor subagents. This skill does NOT run the full E2E pipeline — it only tests the BlazeMeter and Datadog extraction phases via subagents and writes a debug manifest with findings.

Core Features & Use Cases

  • Collects inputs from the user
  • Invokes the blazemeter-extractor subagent
  • Tests two timestamp handoff approaches (subagent return vs. file read)
  • Invokes the datadog-extractor subagent
  • Writes an orchestrator-level debug_manifest.json with all findings
  • STOPS — does NOT proceed to PerfAnalysis, PerfReport, or Confluence

Quick Start

Provide test_run_id and env_name to initiate the subagent PoC orchestrator and observe the generated debug manifests and artifacts.

Frequently Asked Questions about subagent-poc-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test BlazeMeter and Datadog subagent integration in a PoC workflow?▼

Test BlazeMeter and Datadog subagent integration by running a PoC orchestrator that invokes both extraction subagents, validates timestamp handoffs, and generates a debug manifest capturing diagnostic data.

What diagnostic data is captured when validating Datadog and BlazeMeter subagents?▼

Validating Datadog and BlazeMeter subagents captures diagnostic data in a debug_manifest.json, including subagent execution status, artifact creation results, timestamp handoff errors, and integration compatibility issues across MCP tools.

How do I validate timestamp handoffs between BlazeMeter and Datadog extraction subagents?▼

Validate timestamp handoffs between BlazeMeter and Datadog subagents by testing two approaches: capturing the return value directly from the subagent invocation versus reading the timestamp from a generated artifact file.

Does the subagent PoC orchestrator require production data to test MCP tools?▼

The subagent PoC orchestrator does not require production data to test MCP tools, as it only validates execution, artifact creation, and error handling using provided test_run_id and env_name inputs.

Why does my subagent PoC workflow stop after Datadog and BlazeMeter extraction?▼

A subagent PoC workflow stops after Datadog and BlazeMeter extraction because the orchestrator is a temporary proof-of-concept that intentionally halts before PerfAnalysis, PerfReport, or Confluence phases to isolate subagent compatibility issues.

How do I start a subagent PoC test for BlazeMeter and Datadog extractors?▼

Start a subagent PoC test for BlazeMeter and Datadog extractors by providing a test_run_id and env_name to the orchestrator, which then initiates subagent invocations and outputs debug manifests with diagnostic findings.

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