tweetnugget
A random inspirational tweet from curated collections of hand-picked wisdom by tech leaders, founders, and philosophers.
Best use case
tweetnugget is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
A random inspirational tweet from curated collections of hand-picked wisdom by tech leaders, founders, and philosophers.
Teams using tweetnugget should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tweetnugget/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tweetnugget Compares
| Feature / Agent | tweetnugget | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
A random inspirational tweet from curated collections of hand-picked wisdom by tech leaders, founders, and philosophers.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# TweetNugget
When the user asks for a quote, inspiration, or says something like "hit me with a quote" or "give me some wisdom":
## How It Works
1. Run `scripts/get_quote.py` to pick a quote from `references/` directory
2. Return the output directly to the user
## Quote Collections
The `references/` folder contains JSON files with this structure:
```json
{
"name": "Collection Name",
"description": "...",
"quotes": [
{
"text": "The quote text",
"author": "@handle",
"url": "https://x.com/...",
"tags": ["tag1", "tag2"]
}
]
}
```
Available collections:
- `swlw-tweets.json` - 49 quotes from Software Lead Weekly newsletter (Dec-Jul 2025)
- `twitter-quotes.json` - 12 curated Twitter quotes
- `stoic-quotes.json` - 6 Stoic philosophy quotes
## Step-by-Step Instructions
### Basic: Get a random quote
```bash
python3 scripts/get_quote.py
```
Return the output directly to the user. Do not add commentary.
### Surprise Me: Random collection, then random quote
For variety across collections:
```bash
python3 scripts/get_quote.py --surprise
```
### Filtered: Get a quote by tag
If the user specifies a topic (e.g., "quote about AI", "something about leadership", "coding quote"):
```bash
python3 scripts/get_quote.py --tag ai
```
Replace `ai` with the user's topic. Uses partial matching (e.g., "lead" matches "leadership"). Falls back to a random quote if no match is found.
### Available Tags
Common tags across collections: `action`, `advice`, `ai`, `building`, `career`, `coding`, `courage`, `design`, `discipline`, `engineering`, `focus`, `happiness`, `humor`, `innovation`, `knowledge`, `leadership`, `learning`, `life`, `marketing`, `mindset`, `motivation`, `persistence`, `philosophy`, `product`, `programming`, `resilience`, `simplicity`, `startups`, `stoicism`, `strategy`, `thinking`, `wisdom`, `work`
## Response Format
Always return quotes in this format:
> "The quote text" — @handle
If the quote has a URL, you may optionally append it as a link. Keep responses minimal - let the quote speak for itself.
## Adding More Quotes
Users can add their own collections by placing new JSON files in the `references/` directory following the same format.Related Skills
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