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Cross-Stack Error Correlation Agent Pack

Turn scattered multi-service errors into a single root-cause story — aggregate Sentry errors across services, stitch them along request traces, propose the originating failure, and file a prioritised issue in one agent session.

A 4-step agentic workflow pack for coding built to run with Claude, ChatGPT, Claude Code, and Cursor. It drives an AI agent connected to Sentry, GitHub, and Slack (for example via MCP), and still works without them — paste the relevant data in when the prompt asks. Most buyers get a reviewable result in about 12 minutes.

  • Aggregate related errors from multiple Sentry projects into a single grouped view
  • Stitch errors along a shared request trace to reveal propagation order
  • Synthesise a root-cause hypothesis with supporting evidence from across the stack
  • File a structured GitHub issue and notify owners in Slack automatically
  • Degrade gracefully — paste error payloads when Sentry is unavailable
  • Replace hours of tab-switching with a single agent-driven correlation session
ClaudeClaudeCChatGPTClaude CodeClaude CodeCursorCursor
Requires connected tools. This pack is built to run inside an AI agent with SentrySentry, GitHubGitHub, SSlack connected (for example via MCP) — each name links to its official connection guide. No connected tools? It still works — paste the relevant data in when the prompt asks.
promptscart.com / prompt-packs / cross-stack-error-correlation-agent-pack
Run in
Claude · ChatGPT +2
Your AI model
Step 1
Error Aggregator
You provide the time window and affected services; the agent queries Sentry and groups errors by fingerprint, service, and frequency.
Step 2
Trace Stitcher
You provide the error inventory and sample trace IDs; the agent queries Sentry for trace spans and orders errors by causality.
Step 3
Root-Cause Hypothesis
You provide the propagation timeline; the agent analyses the chain and proposes the most likely originating failure with evidence.
Step 4 · optional
Findings Reporter
You confirm the top hypothesis and affected owners; the agent drafts a GitHub issue with error inventory, propagation timeline, and recommended actions.
Output
Your deliverable
Copy-paste ready
Connected tools · via MCP
SentrySentryGitHubGitHubSSlack
One-time
$10
~8 hrs / week
time back

Prompt Customization Serviceoptional help adapting variables and output to your brand voice. Choose your tier at checkout (not tied to this prompt's price).

Instant download after payment
Refund as per the Refund Policy.
Email Support · 24h SLA
Lifetime updates

Models supported
Claude ClaudeC ChatGPTClaude Code Claude CodeCursor Cursor
Requires connected tools

Tap a tool for its official setup guide. Connect them to your AI agent (for example via MCP), or paste the data in manually.

Best valueSave $786
Get this pack + 101 more in the Lifetime Bundle

This pack is $10 on its own. Buying every pack separately costs $935. The Lifetime Bundle is $149 one-time — you save $786 (84% off) and unlock every future pack free.

Get the Lifetime Bundle — $149
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Download Cross-Stack Error Correlation Agent Pack

Paste the license key from your receipt. It must match this prompt pack.

What ships with your purchase

Prompt files

Plain Markdown files with `{{variables}}` you fill in, ready to paste into ChatGPT, Claude, or Gemini. No setup, no tooling required.

Usage guide

Variable reference, model compatibility, examples, and customization tips so you can adapt the pack to your brand voice.

Lifetime updates

When we improve the pack, you get the new version automatically. Email support included with every purchase.

Models tested: Claude, ChatGPT, Claude Code, Cursor. Connected tools this pack drives: Sentry, GitHub, Slack.

The workflow inside this pack

4 composable prompts you run in order — each one picks up where the last left off.

  1. Step 1

    Error Aggregator

    You provide the time window and affected services; the agent queries Sentry and groups errors by fingerprint, service, and frequency.

  2. Step 2

    Trace Stitcher

    You provide the error inventory and sample trace IDs; the agent queries Sentry for trace spans and orders errors by causality.

  3. Step 3

    Root-Cause Hypothesis

    You provide the propagation timeline; the agent analyses the chain and proposes the most likely originating failure with evidence.

  4. Step 4 · optional

    Findings Reporter

    You confirm the top hypothesis and affected owners; the agent drafts a GitHub issue with error inventory, propagation timeline, and recommended actions.

Perpetual (lifetime) use license

Your one-time purchase includes an ongoing right to use this prompt pack with the AI tools and models you control for your own and your clients' work — not for resale or public redistribution of the files as a product.

We keep the copyright

The prompt files, guides, examples, and bundled assets stay our copyrighted works (or our licensors'). Payment grants the limited license in our Terms only — it does not transfer ownership.

Need help adapting this prompt to your team? Add Prompt Customization Service at checkout.

FAQ

How long does it take to use Cross-Stack Error Correlation Agent Pack?
Most buyers finish in a few minutes: open the prompt file, fill the variables, and paste into your model. The first run is the slowest because you decide variable values; reuse is instant.
Do I need Sentry and GitHub and Slack connected to use Cross-Stack Error Correlation Agent Pack?
This pack is built to run inside an AI agent with Sentry, GitHub, Slack connected (for example via MCP), which automates the workflow end to end. No connected tools? It still works — paste the relevant data in when the prompt asks.
What if I get stuck?
Email support@promptscart.com. Free basic support is included with every purchase, and you'll get a reply from our team within 24 hours. If you need help adapting variables or output, we can schedule a call.
Do I need a paid plan with Claude?
The prompt works on free tiers of ChatGPT, Claude, and Gemini. Heavy use can hit free-tier limits; paid plans get longer context and faster responses, but the prompt itself is the value.
Can I customize the prompt?
Yes, completely. You own the prompt files: edit the role framing, add variables, swap output sections, fork it to match your brand voice. Support can help you plan customizations over email.
What if it doesn't work for me?
Refund as per our Refund Policy (https://promptscart.com/refund-policy). Or add Prompt Customization Service at checkout for help adapting variables and output to your workflow.