A powerful semantic search skill that uncovers connections between new thoughts and your existing personal knowledge base.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install same-idea
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install same-idea using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Same Idea?
The Same Idea skill is a specialized tool designed for the Openclaw Skills ecosystem to bridge the gap between new insights and existing personal knowledge. By analyzing a user's input—be it a fleeting thought, a profound concept, or a specific book quote—the skill performs a deep dive into local knowledge management systems like Logseq and Obsidian.
It goes beyond simple keyword matching, utilizing semantic similarity to identify resonating ideas, relevant metaphors, and supporting evidence tucked away in your archives. This allows developers and thinkers to synthesize information more effectively, ensuring that no valuable connection is lost within their digital garden.
Same Idea Use Cases
- Finding existing notes that validate or challenge a new idea you just read.
- Discovering thematic links between Logseq journal entries and Obsidian literature notes.
- Generating a list of relevant quotes from your personal library for writing or research projects.
- Auditing your personal knowledge base to see how a specific concept has evolved over time across different sources.
How Same Idea Works
- The agent parses the input text to extract core themes, underlying insights, and key semantic markers.
- It initiates a multi-directory search across configured Logseq journals and Obsidian vaults using high-performance CLI tools like ripgrep.
- The skill applies semantic similarity matching to rank results based on how well they resonate with the original input.
- It filters and prioritizes results that include high-quality metadata, such as book titles, authors, and specific page references.
- A structured report is generated, highlighting the top 3-5 matches along with an explanation of why the ideas are connected.
Same Idea Setup
To integrate this capability into your Openclaw Skills workflow, ensure your local vaults are accessible to the agent.
# Ensure ripgrep is installed for fast searching
brew install rg
# Configure your local paths in the agent settings
LOGSEQ_PATH="~/Library/Mobile Documents/iCloud~com~logseq~logseq/Documents/"
OBSIDIAN_PATH="~/Library/Mobile Documents/iCloud~md~obsidian/Documents/"
Same Idea Data Schema & Taxonomy
The skill interacts with Markdown-based file structures and organizes its findings using the following taxonomy:
| Data Component | Source Type | Extraction Logic |
|---|---|---|
| Input Idea | User Prompt | Natural Language Processing of the core concept |
| Resonating Quote | Markdown Files | Blockquote extraction with surrounding context |
| Source Metadata | File Frontmatter | Extraction of 'Book', 'Author', or 'Source' keys |
| Resonance Point | AI Analysis | Generated brief on the semantic connection |
Same Idea Advanced Features
- Support for cross-platform searching between Logseq and Obsidian in a single execution.
- Multi-level matching criteria: categorizes results as Strong, Medium, or Weak matches.
- Semantic resonance explanation: provides the 'why' behind the connection, not just the 'what'.
- Automated source attribution: prioritizes notes with clear bibliographic metadata.
SKILL.md
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