Knowledge Toolkit Free for Openclaw

1. Ensure the execution environment is ready:

python3 --version

2. Install basic Python dependencies if your workflow requires them:

pip install requests

3. Confirm your AI agent supports SKILL.md-based skills and has read, write, and exec capabilities.

4. Configure your workspace for markdown-based note storage. A simple vault structure is recommended:

knowledge:
  vault_root: "./vault"
  note_format: markdown
  linking: wikilink

5. Prepare your input in the expected format:

6. Run a small test note creation or search request to validate the workflow.

7. For best results, keep note titles, tags, and markdown structure consistent across your vault.

Openclaw Skills setup is intentionally lightweight: the free edition is designed for quick start, single-task execution, and minimal environment complexity.

Openclaw Skills uses a markdown-first knowledge schema with lightweight metadata and structured outputs.

Core note structure

Generated file behavior

• Notes are saved as .md files.
• Filenames are derived from the title, typically by replacing spaces with underscores.
• Output is intended to be compatible with standard markdown vaults.
• The free edition supports single-item processing rather than large-scale batch workflows.

Operational metadata taxonomy

Response schema

{
  "success": true,
  "data": {
    "result": "processed output",
    "execution_time": "0.5s",
    "metadata": {
      "version": "1.0",
      "processor": "knowledgekit"
    }
  },
  "execution_log": ["parse input", "run core logic", "format output"],
  "error": null
}

This schema makes Openclaw Skills easy to integrate into agent workflows, markdown vaults, and knowledge graph-style note systems.