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Kalypsokichu-code / shots-for-agents

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Oneshot — One-time screenshots for AI agents. Mac menu bar utility.

oneshot.zip agents ai-agents macos screenshot
11
2
100% credibility
Found Apr 05, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

A macOS menu bar app for capturing screenshots of screen regions, optionally annotating them, generating curl commands to fetch from a local server, and automatically deleting them after use or timeout.

How It Works

1
🔍 Discover Oneshot

You stumble upon this clever Mac tool that makes sharing screen snippets with AI chats super simple.

2
💻 Get it running

Follow the easy guide to launch the app, and it settles into your menu bar ready to go.

3
🔓 Allow screen access

When prompted, grant permission so the app can capture parts of your screen.

4
📸 Capture your moment

Press the shortcut, drag over the area you want, add a note for context, and feel the magic happen.

5
📋 Grab the share link

A simple copy command lands on your clipboard, ready to paste anywhere.

6
💬 Send to AI buddy

Paste it into your chat, and your AI pulls the image instantly to help you out.

🧹 Clean slate

The image disappears automatically after being seen, leaving no trace behind.

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AI-Generated Review

What is shots-for-agents?

Oneshot is a Swift Mac menu bar utility for one-time screenshots aimed at AI agents. Hit Ctrl+Shift+S to select a region, optionally annotate it, and grab a curl command on your clipboard—paste to your agent, which fetches the shot from localhost:9853 before it self-deletes with a 410 Gone. Batch multiple shots into a markdown table, all memory-only, no disk or base64 token waste.

Why is it gaining traction?

It skips bloated base64 pastes by serving ephemeral shots via curl commands, ideal for shell-running agents. Menu bar previews show thumbnails, let you edit annotations or remove shots, and auto-clear after reads. Configurable port, expiry (default 10min unread), and hotkey make it a frictionless utility over manual encoding.

Who should use this?

Mac devs prompting AI agents like Claude or Cursor for UI debugging, frontend engineers sharing screen regions during iterations, or indie hackers prototyping with local command-capable models—no more screenshot context pollution.

Verdict

Promising for agent workflows but immature: 11 stars, 1.0% credibility score, solid README yet light on tests. Build from source on Sonoma+ Xcode 16 if it fits; MIT license invites forks.

(178 words)

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