Sentry

Community

brianlovin

sentry

Sentry error monitoring and performance tracing patterns for Next.js applications.

Overview

Publisher	brianlovin
Repository	`agent-config`
Skill name	`sentry`
Stars	370
Forks	31
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by brianlovin on GitHub. Read the source before you install it.

Installation

Install the Sentry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/brianlovin/agent-config.git /tmp/agent-config
mkdir -p .claude/skills
cp -r /tmp/agent-config/skills/sentry .claude/skills/sentry

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sentry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sentry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sentry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sentry Integration

Guidelines for using Sentry for error monitoring and performance tracing.

Exception Catching

Use Sentry.captureException(error) in try/catch blocks:

javascript
try {
  await riskyOperation();
} catch (error) {
  Sentry.captureException(error);
  throw error;
}

Performance Tracing

Create spans for meaningful actions like button clicks, API calls, and function calls.

UI Actions

javascript
function handleClick() {
  Sentry.startSpan(
    { op: "ui.click", name: "Submit Form" },
    (span) => {
      span.setAttribute("formId", formId);
      submitForm();
    }
  );
}

API Calls

javascript
async function fetchData(id) {
  return Sentry.startSpan(
    { op: "http.client", name: `GET /api/items/${id}` },
    async () => {
      const response = await fetch(`/api/items/${id}`);
      return response.json();
    }
  );
}

Configuration (Next.js)

Sentry initialization files:

sentry.client.config.ts - Client-side
sentry.server.config.ts - Server-side
sentry.edge.config.ts - Edge runtime

Import with import * as Sentry from "@sentry/nextjs" - no need to initialize in other files.

Basic Setup

javascript
import * as Sentry from "@sentry/nextjs";

Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  enableLogs: true,
});

With Console Logging

javascript
Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  integrations: [
    Sentry.consoleLoggingIntegration({ levels: ["log", "warn", "error"] }),
  ],
});

Structured Logging

Use logger.fmt for template literals with variables:

javascript
const { logger } = Sentry;

logger.trace("Starting connection", { database: "users" });
logger.debug(logger.fmt`Cache miss for: ${userId}`);
logger.info("Updated profile", { profileId: 345 });
logger.warn("Rate limit reached", { endpoint: "/api/data" });
logger.error("Payment failed", { orderId: "order_123" });
logger.fatal("Connection pool exhausted", { activeConnections: 100 });

Frequently asked questions

What does the Sentry AI skill do?

Sentry error monitoring and performance tracing patterns for Next.js applications.

Why use Sentry on TypingMind?

Because you install it once and use it with any model. Sentry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sentry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brianlovin/agent-config/tree/main/skills/sentry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sentry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sentry?

As many as you like. As long as a model supports skills, you can use Sentry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sentry AI skill free?

It is published on GitHub by brianlovin. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Sentry Integration

Exception Catching

Performance Tracing

UI Actions

API Calls

Configuration (Next.js)

Basic Setup

With Console Logging

Structured Logging

Frequently asked questions

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