bs-diagnose

Diagnose Build a Sentence pipeline logs for bottlenecks and rejection patterns.

1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/lzs20030114-wq/toefl_writing --skill bs-diagnose
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bs-diagnose
Source: https://github.com/lzs20030114-wq/toefl_writing/tree/main/.claude/skills/bs-diagnose
Command: npx skills add https://github.com/lzs20030114-wq/toefl_writing --skill bs-diagnose

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build a Sentence generation pipeline can fail, produce low-quality outputs, or stall; this skill helps identify and fix those issues.

Core Features & Use Cases

  • Diagnostics across run histories and circuit-breaker logs
  • Pattern analysis of rejection reasons and bottlenecks
  • Actionable recommendations to improve pipeline stability and throughput

Quick Start

Invoke the diagnoser on the latest run data to generate a diagnostic summary and recommended fixes.

Frequently Asked Questions about bs-diagnose

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

FAQPage Schema
How do I diagnose a stalled generation pipeline and identify rejection patterns?▼

To diagnose a stalled generation pipeline, analyze log files and historical data to identify bottlenecks, rejection patterns, and circuit-breaker events. This process pinpoints exactly where throughput degrades and provides actionable fixes.

How do I analyze cross-run trends in data-analytics pipeline logs?▼

You can analyze cross-run trends in pipeline logs by reading historical data files and using trend arguments to compare performance across multiple runs. This reveals recurring rejection reasons and long-term pipeline stability shifts.

What is the best way to troubleshoot circuit-breaker events in a generation pipeline?▼

The best way to troubleshoot circuit-breaker events is to run a diagnostic analysis on your latest run data. This isolates the exact triggers causing pipeline stalls and generates structured recommendations to prevent future circuit breaks.

Can I use pipeline diagnostics to find rejection reasons from my last run?▼

Yes, you can target your last run by passing specific run arguments to the diagnostic tool. It reads the relevant data files to extract rejection reasons and produces a structured Last Run Analysis for quick troubleshooting.

What data files do I need to perform log-analysis on a Build a Sentence pipeline?▼

You need the historical logs and data files stored under the specific buildSentence data directory. The diagnostic tool reads these structured files directly to map out bottlenecks and cross-run trends without requiring external databases.