Steal Digest

Community

somnus0x

steal-digest

Scan GitHub trending daily and report which repos contain ideas worth stealing for your project — patterns, not stars. Use for repo scouting and idea extraction.

Overview

Publisher	somnus0x
Repository	`agt-skill-pack`
Skill name	`steal-digest`
Stars	74
Forks	17
Bundled files	2
License	Apache-2.0
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by somnus0x on GitHub. Read the source before you install it.

Installation

Install the Steal Digest 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.
https://github.com/somnus0x/agt-skill-pack/tree/main/skills/steal-digest
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/somnus0x/agt-skill-pack.git /tmp/agt-skill-pack
mkdir -p .claude/skills
cp -r /tmp/agt-skill-pack/skills/steal-digest .claude/skills/steal-digest

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

Use it in TypingMind

Enable Steal Digest 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 Steal Digest 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 Steal Digest 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.

Steal Digest — Cherry-Pick Ideas From GitHub Trending

Stop scrolling GitHub trending aimlessly. Let AI scan it daily and tell you which repos have ideas worth stealing for your project.

Not copying code. Stealing ideas — seeing how someone else solved a problem and asking "can I use this pattern?"

Setup

Drop-in prompt (copy into your AI tool):


ไปดู GitHub trending วันนี้ (https://github.com/trending) เลือก 3-5 repos ที่น่าสนใจสำหรับ stack ของผม [ระบุ stack เช่น: React, Next.js, Python, Go]
แต่ละ repo บอก:
1. ทำอะไร (1 บรรทัด)
2. มี idea/pattern อะไรที่เอามาปรับใช้กับ project ของเราได้
3. ความยากในการ implement (ง่าย/กลาง/ยาก)
ไม่ต้อง copy code ให้บอกแค่ idea + วิธีประยุกต์
ข้ามพวก: awesome lists, tutorial repos, repos ที่ต้องเปลี่ยน stack ทั้งหมด

English version:


Check GitHub trending today (https://github.com/trending) and pick 3-5 repos relevant to my stack [specify: React, Next.js, Python, Go, etc.]
For each repo:
1. What it does (1 line)
2. What idea/pattern can be adapted for our project
3. Implementation difficulty (easy/medium/hard)
Don't copy code — just describe the idea + how to adapt it.
Skip: awesome lists, tutorial repos, repos requiring full stack migration.

Running as a daily cron (recommended)

The real power is automation. Set up a daily scan that runs every morning:

bash
# Daily steal digest at 09:00
0 9 * * * cd /path/to/project && claude -p "$(cat steal-digest-prompt.txt)" >> logs/steal-digest.txt

Save the prompt above as steal-digest-prompt.txt and let it run. Check the output when you have 5 minutes.

Building a steal backlog (optional)

Track what you've stolen and what's pending:

markdown
# Steal Backlog

## Queued
- [ ] AI slop detection pattern (from repo X) — adapt for UI review skill
- [ ] Rate limiting middleware (from repo Y) — simpler than current setup

## In Progress
- Product evaluation framework — adapting into Product Taste skill

## Done
- Jina Reader integration — wired into link triage
- twitter-cli — wired into content scouting

What to look for

Good steals have these properties:

Solves a problem you already have — not a solution looking for a problem
Can be adapted, not just copied — the idea transfers even if the code doesn't
Doesn't require a full rewrite — should integrate into existing architecture
Has a clear implementation path — you can see how to build it in your stack

Bad steals:

Awesome lists (curation, not creation)
Tutorial/course repos
Repos requiring a full stack migration
Things that look cool but don't solve any current problem

Add to your CLAUDE.md

markdown
### Steal digest
When asked to run steal digest, check GitHub trending for repos relevant to my stack.
For each candidate: what it does, what to steal, implementation difficulty.
Maintain steal backlog at data/steal-backlog.md.

When to use

Morning routine — scan trending while drinking coffee
Before starting a new feature — see if someone already solved the hard part
Weekly backlog review — which stolen ideas are worth implementing this week
When you're stuck — sometimes someone else's approach unlocks yours

Bundled files

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

AGENTS.md1 KB
CLAUDE.md1 KB

Frequently asked questions

What does the Steal Digest AI skill do?

Scan GitHub trending daily and report which repos contain ideas worth stealing for your project — patterns, not stars. Use for repo scouting and idea extraction.

Why use Steal Digest on TypingMind?

Because you install it once and use it with any model. Steal Digest 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 Steal Digest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/somnus0x/agt-skill-pack/tree/main/skills/steal-digest. 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 Steal Digest?

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 Steal Digest?

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

Is the Steal Digest AI skill free?

Yes. It is published on GitHub by somnus0x 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.

View all

Pricing

coreyhaines31

CommunityPopular

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price…

Knowledge Wiki

Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when…

Resume Bullet Writer

Turns resume duties into truthful impact bullets. Questions the user role by role to dig out achievements, asks for real numbers or honest ranges (never invents them), and writes concise bullets in…

Scaffold Exercises

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Steal Digest — Cherry-Pick Ideas From GitHub Trending

Setup

Drop-in prompt (copy into your AI tool):

Running as a daily cron (recommended)

Building a steal backlog (optional)

What to look for

Add to your CLAUDE.md

When to use

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now