Overview
- Skill Key
- hxy9243/zettel-brainstormer
- Author
- hxy9243
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/hxy9243/zettel-brainstormer
- Latest Commit SHA
- 7cffc656305c9c32a225071fbf497ebdca7b2652
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 zettel-brainstormer 技能。 若已安装,则直接安装 zettel-brainstormer 技能。
# 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...
# 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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