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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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hxy9243/zettel-brainstormer

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hxy9243/zettel-brainstormer
Version
—
Commit
7cffc656305c9c32a225071fbf497ebdca7b2652
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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

Contenu extrait

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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