devtools

ai-influence-digest: Weekly AI Insights

Name: ai-influence-digest: Weekly AI Insights
Author: koffuxu

Get a weekly digest of actionable AI content as a poster, built for content creators, with ai-influence-digest.

318 stars38 forksPythonGuide quality 8/10Updated 4/18/2026100% free · open source

What it does

Turn scrolling through AI content into a weekly digest poster, filtering actionable content from 65+ AI builders using just your browser.

When to use it

•You want to stay up-to-date with the latest AI trends without spending hours scrolling through feeds.
•You need to create engaging content for your audience, but don't have time to sift through countless AI blog posts and articles.
•You're looking for a way to easily visualize and share AI insights with your team or followers.

Ready-to-paste prompt

python ai_influence_digest.py --output poster.png --filter actionable to generate a poster named 'poster.png' with only actionable AI content.

Heads up: Make sure you have the necessary permissions and browser settings to allow the script to access your browsing history, as the tool relies on this to function correctly.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/ai-influence-digest && curl -fsSL https://workflowstacks.com/api/skills/ai-influence-digest/claude-skill -o ~/.claude/skills/ai-influence-digest/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How ai-influence-digest: Weekly AI Insights works

Codeflow

Free to inspect

Ai-influence-digest: Weekly AI Insights is a small Python project (~900 lines across 3 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 5 months ago, MIT license, no tests found.

Size

Small codebase

~900 lines · 3 code files · 8 min skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Python 87%HTML 11%Shell 2%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
SKILL.md
The instructions the AI actually follows
3
requirements.txt
Dependencies and the commands it exposes

What's in each folder

scripts/Helper scripts5 files

references/Folder2 files

READMENo tests foundDocumentedNo CIMIT licenseUpdated 5 mo ago