A sophisticated knowledge management tool that decomposes unstructured documents into standardized, indexed, and searchable theme directories.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install maple-structured-storage
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 maple-structured-storage 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 Knowledge Structured Archiving?
Knowledge Structured Archiving is a specialized extension for users who need to maintain a high-fidelity personal or team knowledge base. By utilizing Openclaw Skills, this tool automatically parses weekly reports, notes, and technical documents, breaking them down into a logical directory structure. It ensures that every piece of information—from raw code snippets to high-level summaries—is categorized and stored in a way that is optimized for both human reading and machine retrieval.
Beyond simple storage, the skill emphasizes information integrity. It creates a centralized index and employs a reflection mechanism to identify missing context, such as missing dates, stakeholders, or decision-making backgrounds. This makes it a foundational component for anyone building a robust second brain using Openclaw Skills.
Knowledge Structured Archiving Use Cases
- Archiving fragmented meeting notes into a structured theme-based repository.
- Automatically extracting and indexing code snippets from messy development logs.
- Maintaining a searchable database of weekly reports with automated keyword generation.
- Filling information gaps in project documentation through AI-driven reflection questions.
- Streamlining personal knowledge management by converting raw text into standardized Markdown assets via Openclaw Skills.
How Knowledge Structured Archiving Works
- The skill monitors a designated source directory or accepts direct text input to begin the archival process.
- It analyzes the content to determine if it belongs to an existing theme or requires a new directory.
- Documents are decomposed into specific files: description.md for summaries, process.md for full context, meta.md for facts, and code.md for snippets.
- A global index.json is automatically updated, mapping keywords and descriptions for all stored themes.
- The reflection engine reviews the archived content and asks up to three targeted questions to resolve any detected information gaps.
- Original files are moved to a done folder to ensure the source directory remains clean and organized within the Openclaw Skills workflow.
Knowledge Structured Archiving Setup
To initialize the archiving system, place the configuration file in your skill directory. On the first run, the system will prompt you for the necessary paths.
# The system will automatically create this structure upon first use
# Configuration file: ./.knowledge-config.json
{
"source_path": "/path/to/your/unprocessed/notes",
"storage_path": "/path/to/your/structured/archive",
"created_at": "2023-10-27"
}
Knowledge Structured Archiving Data Schema & Taxonomy
The skill organizes data into a hierarchical structure within the storage_path to ensure maximum compatibility with other Openclaw Skills:
| File/Folder | Description |
|---|---|
index.json |
The master index containing box names, summaries, and keywords for search. |
{Theme}/description.md |
A concise overview (50-150 words) of the specific knowledge theme. |
{Theme}/process.md |
The full, chronological record of the information and its evolution. |
{Theme}/meta.md |
Structured facts, independent metadata, and verifiable data points. |
{Theme}/code.md |
A dedicated file for preserving all code snippets without truncation. |
{Theme}/resource/ |
A subdirectory containing copies of original files or referenced assets. |
Knowledge Structured Archiving Advanced Features
- Full-text indexing with automated keyword extraction for high-speed retrieval.
- Intelligent reflection logic that identifies information blind spots and prompts for user clarification.
- Multi-source traversal that automatically discovers and processes new documents in bulk.
- Append-mode architecture that prevents data loss by merging new information into existing theme files.
- Seamless cross-language support, ensuring archived content maintains the language of the source document within the Openclaw Skills ecosystem.
SKILL.md
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