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meta-analyze

Analyze PSD Meta-Learning System telemetry to identify usage patterns and bottlenecks.

2|3|Updated Oct 20, 2025
Search Tags:#analytics#meta-learning#telemetry#agent-coordination#pattern-detection#workflow-optimization#predictive-alerts
One-click install
npx skills add https://github.com/psd401/psd-claude-coding-system --skill meta-analyze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-analyze
Source: https://github.com/psd401/psd-claude-coding-system/tree/main/plugins/psd-claude-coding-system/skills/meta-analyze
Command: npx skills add https://github.com/psd401/psd-claude-coding-system --skill meta-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes telemetry data from the PSD Meta-Learning System to identify usage patterns, bottlenecks, and opportunities to optimize development workflows.

Core Features & Use Cases

  • Telemetry pattern analysis: detect command usage frequencies, agent orchestration, and timing bottlenecks.
  • Optimization recommendations: propose parallelization, validation steps, and automation opportunities.
  • Predictive risk insights: surface potential future issues and provide preventive actions for smoother operations.

Quick Start

Run the meta-analyze command to generate insights from telemetry data. For example: meta-analyze --since 7d --output meta/weekly-analysis.md

Frequently Asked Questions about meta-analyze

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

FAQPage Schema
How do I analyze telemetry data to find performance bottlenecks in my development workflow?▼

Telemetry analysis identifies command usage patterns, agent orchestration delays, and timing bottlenecks across your workflow. Run meta-analyze to read telemetry.json and generate a markdown report highlighting optimization opportunities and slow operations.

What patterns can I detect from agent coordination telemetry?▼

Agent coordination analysis reveals command frequencies, orchestration inefficiencies, and workflow execution timing. The Skill computes these patterns from telemetry data to surface where parallelization or process redesign could improve performance.

Can I filter telemetry analysis by time range or specific commands?▼

Yes, meta-analyze supports --since and --command filters to scope analysis to recent data or specific operations. You can also direct output to a custom file using --output for easier tracking and comparison.

How do I get predictive alerts from telemetry data?▼

Predictive risk insights surface potential future issues by analyzing historical patterns in telemetry. The actionable markdown report includes preventive recommendations alongside identified bottlenecks to help you avoid operational problems.

What's the best way to optimize workflows using telemetry insights?▼

Telemetry analysis recommends validation steps, automation opportunities, and parallelization based on detected patterns. Review the generated report to prioritize changes that address your highest-frequency commands and longest timing bottlenecks.

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