Sentry Snapshots Cocoa logo

Sentry Snapshots Cocoa

Organization
getsentry
sentry-snapshots-cocoa

Full Sentry Snapshots setup for Apple/Cocoa projects. Use when asked to "setup SnapshotPreviews", "setup Apple snapshot testing", "upload Apple snapshots to Sentry", "setup Apple snapshot GitHub Actions", or "setup Apple selective snapshot testing".

Overview

Publishergetsentry
Repositorysentry-for-ai
Skill namesentry-snapshots-cocoa
Stars
269
Forks
34
Bundled files
6
LicenseApache-2.0
Links
  • 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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by getsentry on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/getsentry/sentry-for-ai/tree/main/src/skills/sentry-snapshots-cocoa
  4. 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.
2

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/getsentry/sentry-for-ai.git /tmp/sentry-for-ai
mkdir -p .claude/skills
cp -r /tmp/sentry-for-ai/src/skills/sentry-snapshots-cocoa .claude/skills/sentry-snapshots-cocoa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sentry Snapshots Cocoa 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 Snapshots Cocoa 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 Snapshots Cocoa 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 Snapshots for Apple/Cocoa

Scope

  • Goal: generate Apple snapshot images and upload them to Sentry Snapshots.
  • Detect existing snapshot generation first, including Point-Free swift-snapshot-testing; preserve it when it already emits or can emit PNGs or JPEGs.
  • Use the Sentry Wizard appleSnapshots flow only when setting up Sentry’s first-party SnapshotPreviews solution.
  • Use manual setup only if the wizard is unavailable, cannot resolve targets non-interactively after disambiguation, or fails after explicit disambiguation.
  • Package-only SwiftPM: stop and ask for the host app/test target; standalone swift test rendering is not supported.

Detect

Do only enough detection to route before calling the wizard:

bash
# SnapshotPreviews (Sentry first-party) -> prefer wizard / SnapshotPreviews routing
find . \( -name Package.swift -o -name Package.resolved -o -path '*/project.pbxproj' \) -print0 2>/dev/null | xargs -0 grep -lE "SnapshotPreviews" 2>/dev/null

# Point-Free swift-snapshot-testing -> preserve generator, swift-snapshot-testing CI path
find . \( -name Package.swift -o -name Package.resolved -o -path '*/project.pbxproj' \) -print0 2>/dev/null | xargs -0 grep -lE "swift-snapshot-testing|SnapshotTesting|assertSnapshot|__Snapshots__|TEST_RUNNER_SNAPSHOT_TESTING_RECORD" 2>/dev/null

# Required wizard input
find . -name '*.xcodeproj' -print 2>/dev/null | head -20

# Workflow shape
ls fastlane/Fastfile Gemfile 2>/dev/null

# Sentry auth presence only -> never print secret values
[ -n "$SENTRY_AUTH_TOKEN" ] && echo "SENTRY_AUTH_TOKEN=set" || echo "SENTRY_AUTH_TOKEN=unset"
[ -n "$SENTRY_ORG" ] && echo "SENTRY_ORG=set" || echo "SENTRY_ORG=unset"
[ -n "$SENTRY_PROJECT" ] && echo "SENTRY_PROJECT=set" || echo "SENTRY_PROJECT=unset"

Record: existing SnapshotPreviews setup, existing snapshot generator/library, output directory if known, Xcode project directory, CI provider, Fastlane, and Sentry auth. For each .xcodeproj match, record the containing directory for --xcode-project-dir; if find prints ./MyApp/MyApp.xcodeproj, pass ./MyApp, not the bundle path. Let the wizard detect app targets, hosted XCTest targets, and Swift previews only when no existing generator is present.

Route

Resolve routing in this order; setup is the primary path and CI is optional follow-up.

  1. Select or create the image generator:
    • named generator wins;
    • multiple existing generators with no user choice -> ask;
    • existing non-SnapshotPreviews generator -> preserve it;
    • existing SnapshotPreviews -> use it;
    • no existing generator -> set up SnapshotPreviews by default for Sentry Snapshots or Apple snapshot testing.
  2. For SnapshotPreviews, stop before setup/verification/CI if there is no .xcodeproj host app or no hosted XCTest target. These stops do not apply when preserving another generator.
  3. For setup or verification:
    • existing non-SnapshotPreviews generator -> read references/snapshots.md;
    • existing SnapshotPreviews -> read references/snapshot-previews.md and references/snapshots.md;
    • new SnapshotPreviews setup -> read references/wizard-setup.md;
    • wizard reports no Swift previews -> ask before adding previews or choosing another generator.
  4. For GitHub Actions/CI only after an image generator exists:
    • Point-Free swift-snapshot-testing -> read references/github-actions-swift-snapshot-testing.md and references/snapshots.md;
    • other non-SnapshotPreviews generator -> read references/snapshots.md and adapt existing CI/upload;
    • SnapshotPreviews, one simulator only, no matrix/fanout/selective CI -> read references/github-actions-simple.md;
    • SnapshotPreviews with multiple simulators, device families, matrix, or any selective CI -> read references/github-actions-fanout.md and references/snapshot-previews.md.

Optional References

NeedRead
First-party SnapshotPreviews setup, disambiguation, or manual fallbackreferences/wizard-setup.md
SnapshotPreviews metadata, rendering preferences, selective rendering, or SnapshotPreviews-specific troubleshootingreferences/snapshot-previews.md
Upload any generated snapshot images to Sentry with Fastlane, sentry-cli, manifests, CI notes, or upload troubleshootingreferences/snapshots.md
One-destination GitHub Actions workflowreferences/github-actions-simple.md
Multi-destination/fan-out GitHub Actions workflowreferences/github-actions-fanout.md
Point-Free swift-snapshot-testing GitHub Actions workflowreferences/github-actions-swift-snapshot-testing.md

Completion Checks

  • The selected snapshot image generator is documented and preserved or configured according to the route above.
  • Snapshot generation appears in the relevant local or CI test logs.
  • Export directory contains .png files and any generated .json sidecars.
  • Upload succeeds and prints a Sentry URL or snapshot id.
  • Base branch upload is full; selective PR upload includes the full image-name manifest.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sentry Snapshots Cocoa AI skill do?

Full Sentry Snapshots setup for Apple/Cocoa projects. Use when asked to "setup SnapshotPreviews", "setup Apple snapshot testing", "upload Apple snapshots to Sentry", "setup Apple snapshot GitHub Actions", or "setup Apple selective snapshot testing".

Why use Sentry Snapshots Cocoa on TypingMind?

Because you install it once and use it with any model. Sentry Snapshots Cocoa 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 Snapshots Cocoa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/sentry-for-ai/tree/main/src/skills/sentry-snapshots-cocoa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sentry Snapshots Cocoa?

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 Snapshots Cocoa?

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

Is the Sentry Snapshots Cocoa AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 license. 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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