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zettel-brainstormer

It reads from your local zettelkasten notes, find a random idea, and find references by links or tags, then expand the idea with the references.

hxy92430 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install hxy9243/zettel-brainstormer

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Zettel Brainstormer 🧠

This skill formalizes the process of taking a rough idea or draft and enriching it with deep research, diverse perspectives, and structured brainstorming.

The configuration file is config/models.json, which can be edited manually or using the setup.py script.

New 3-Stage Workflow

This skill now supports a 3-stage pipeline to balance cost and quality:

  1. Find References (with find_links.py)
  • Run scripts/find_links.py to identify relevant existing notes.
    • Wikilinked documents (follows [[wikilinks]] N levels deep, up to M total docs)
    • Tag-similar documents (finds notes with overlapping tags)
    • Native Obsidian Integration: Uses obsidian-cli for high-performance indexing and discovery if available.
    • Semantic Discovery (Optional): Can leverage the zettel-link skill for finding "hidden" conceptual connections that don't share explicit tags or links.
  • Output: A JSON list of absolute file paths to relevant notes.
  1. Subagent: Preprocess contents (with preprocess_model)
  • The agent iterates through the list of files found in Stage 1.
  • For each file:
    • Read the file content.
    • Apply templates/preprocess.md using the preprocess_model, pass the seed note keypoints and file content as context.
    • Extract: Relevance score, Summary, Key Points, and Quotes.
    • Output: A structured markdown summary of the note.
  1. Draft & Humanize (with pro_model)
  • Gather all preprocessed markdown outputs from Stage 2.
  • Apply templates/draft.md using the pro_model.
  • Synthesize points, add proper Obsidian properties, tags, and links.
  • Uses the obsidian skill if available to match style.

Files & Scripts

This skill includes the following resources under the skill folder:

  • scripts/find_links.py -- finds relevant note paths (linked + tag similar)
  • scripts/draft_prompt.py -- (Deprecated) generate prompt for agent
  • scripts/obsidian_utils.py -- shared utilities for wikilink extraction
  • `te...

Source information

Source
github
Repository
openclaw/skills
Path
skills/hxy9243/zettel-brainstormer
Version
—
Commit
7cffc656305c9c32a225071fbf497ebdca7b2652
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Zettel Brainstormer

An AI-powered skill for expanding Zettelkasten notes into comprehensive writing drafts.

Overview

This skill provides a 3-stage pipeline to transform your atomic notes into a coherent draft:

  1. Find Links: Scans a seed note and identifies connections. Supports:
    • Standard: Wikilinks and Tag matching.
    • obsidian-cli (Recommended): Uses the native CLI for fast vault indexing.
    • zettel-link (Optional): Semantic discovery for "hidden" connections without explicit links.
  2. Preprocess: Reads the files and context to generate a high-quality Markdown outline using a sub-agent.
  3. Draft: Reads the outline and context to generate a high-quality Markdown draft using a Pro LLM.

Documentation

👉 See SKILL.md for full installation, configuration, and usage instructions.

Quick Start

Prerequisites
  • Python 3.10+
  • Your favorite AI Agent system (OpenCode, Cursor, OpenClaw, etc.)
  • Optionally, OPENAI_API_KEY (or OpenRouter key) set in environment.
Installation
# Clone repository
npx skills install https://github.com/hxy9243/skills/blob/main/zettel-brainstormer/
Usage
  1. Prompt your AI Agent to configure the skill.
  2. Prompt your AI Agent to run the skill.

License

MIT

Extracted content

SKILL.md
# Zettel Brainstormer 🧠

This skill formalizes the process of taking a rough idea or draft and enriching it with deep research, diverse perspectives, and structured brainstorming.

The configuration file is `config/models.json`, which can be edited manually or using the `setup.py` script.

## New 3-Stage Workflow

This skill now supports a 3-stage pipeline to balance cost and quality:

1) Find References (with `find_links.py`)

- Run `scripts/find_links.py` to identify relevant existing notes.
  - **Wikilinked documents** (follows [[wikilinks]] N levels deep, up to M total docs)
  - **Tag-similar documents** (finds notes with overlapping tags)
  - **Native Obsidian Integration**: Uses `obsidian-cli` for high-performance indexing and discovery if available.
  - **Semantic Discovery (Optional)**: Can leverage the `zettel-link` skill for finding "hidden" conceptual connections that don't share explicit tags or links.
- Output: A JSON list of absolute file paths to relevant notes.

2) Subagent: Preprocess contents (with `preprocess_model`)

- The agent iterates through the list of files found in Stage 1.
- For each file:
  - Read the file content.
  - Apply `templates/preprocess.md` using the `preprocess_model`, pass the seed note keypoints and file content as context.
  - Extract: Relevance score, Summary, Key Points, and Quotes.
  - Output: A structured markdown summary of the note.

3) Draft & Humanize (with `pro_model`)

- Gather all preprocessed markdown outputs from Stage 2.
- Apply `templates/draft.md` using the `pro_model`.
- Synthesize points, add proper Obsidian properties, tags, and links.
- Uses the `obsidian` skill if available to match style.

## Files & Scripts

This skill includes the following resources under the skill folder:

- `scripts/find_links.py`  -- finds relevant note paths (linked + tag similar)
- `scripts/draft_prompt.py` -- (Deprecated) generate prompt for agent
- `scripts/obsidian_utils.py` -- shared utilities for wikilink extraction
- `te...
README
# Zettel Brainstormer

An AI-powered skill for expanding **Zettelkasten** notes into comprehensive writing drafts.

## Overview

This skill provides a **3-stage pipeline** to transform your atomic notes into a coherent draft:
1.  **Find Links**: Scans a seed note and identifies connections. Supports:
    - **Standard**: Wikilinks and Tag matching.
    - **`obsidian-cli` (Recommended)**: Uses the native CLI for fast vault indexing.
    - **`zettel-link` (Optional)**: Semantic discovery for "hidden" connections without explicit links.
2.  **Preprocess**: Reads the files and context to generate a high-quality Markdown outline using a sub-agent.
3.  **Draft**: Reads the outline and context to generate a high-quality Markdown draft using a Pro LLM.

## Documentation

**👉 See [SKILL.md](SKILL.md) for full installation, configuration, and usage instructions.**

## Quick Start

### Prerequisites
-   Python 3.10+
-   Your favorite AI Agent system (OpenCode, Cursor, OpenClaw, etc.)
-   Optionally, `OPENAI_API_KEY` (or OpenRouter key) set in environment.

### Installation
```bash
# Clone repository
npx skills install https://github.com/hxy9243/skills/blob/main/zettel-brainstormer/
```

### Usage

1. Prompt your AI Agent to configure the skill.
2. Prompt your AI Agent to run the skill.


## License
MIT

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