sre-review

Analyze dotmakeup crawling pipeline error rates, latency, and coverage gaps using Tempo traces and PostgreSQL data.

3|Updated Sep 9, 2025
One-click install
npx skills add https://github.com/external-mirrors/bird.makeup --skill sre-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sre-review
Source: https://github.com/external-mirrors/bird.makeup/tree/main/.opencode/skills/sre-review
Command: npx skills add https://github.com/external-mirrors/bird.makeup --skill sre-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Difficult-to-diagnose reliability issues in large crawling pipelines across multiple services, leading to unseen errors, latency spikes, and stale coverage. This skill provides a structured SRE review of the dotmakeup crawl pipeline to surface gaps and propose concrete fixes.

Core Features & Use Cases

  • End-to-end assessment of the crawling stack, including RetrieveTweetsProcessor, Graphql2025, Sidecar, and Direct strategies, using Tempo traces and PostgreSQL ground-truth data.
  • Identification of coverage gaps, stale accounts, high-error hotspots, and policy tuning opportunities to improve reliability under crawl budget constraints.
  • Generation of actionable remediation proposals with impact estimates and implementation effort, suitable for production-readiness reviews.

Quick Start

Initiate an SRE review to analyze traces, DB data, and policy settings and produce prioritized reliability fixes.

Frequently Asked Questions about sre-review

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

FAQPage Schema
How do I analyze crawl pipeline error rates and latency using Tempo traces and PostgreSQL?

To analyze crawl pipeline error rates and latency using Tempo traces and PostgreSQL, you review trace data against database ground-truth to quantify error rates, latency spikes, and coverage gaps across RetrieveTweetsProcessor, Graphql2025, Sidecar, and Direct strategies.

What is SRE review for crawling pipelines and when do I need it?

SRE review for crawling pipelines is a structured reliability assessment that surfaces unseen errors, latency spikes, and stale coverage issues. You need it when diagnosing difficult reliability problems across multiple services like RetrieveTweetsProcessor and Sidecar strategies.

Can I tune crawl budget policies to improve per-account crawl coverage?

Yes, you can tune crawl budget policies to improve per-account crawl coverage by analyzing detector hotspots and policy settings from PostgreSQL data, then generating actionable remediation proposals with estimated impact and implementation effort.

Does this SRE review require access to production databases and distributed tracing?

Yes, this SRE review requires access to Tempo traces and the production PostgreSQL database to accurately quantify tracing coverage gaps, error rates, and latency across the dotmakeup crawl pipeline strategies.

What's the best way to prioritize reliability fixes for a crawling stack?

The best way to prioritize reliability fixes for a crawling stack is to generate actionable remediation proposals that include estimated impact and implementation effort, suitable for production-readiness reviews based on end-to-end assessment of traces and database data.