Openclaw Skills for generating clean, portable Markdown that stays consistent across platforms and editors.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install markdown-toolkit-free
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 markdown-toolkit-free 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 Markdown 工具箱（免费版）?
Markdown 工具箱（免费版） is an Openclaw Skills solution for producing clean, portable Markdown without platform-specific syntax, so content renders consistently in GitHub, GitLab, Obsidian, VS Code, and other Markdown viewers.
It focuses on the most common authoring rules developers need every day: code block language tags, standard GFM tables, strict heading hierarchy, relative links, image alt text, and single-file validation. The result is a practical Markdown workflow that improves readability, migration safety, and cross-platform compatibility while reducing formatting drift.
Markdown 工具箱（免费版） Use Cases
- Generate portable Markdown for documentation, READMEs, knowledge bases, and notes.
- Validate heading structure to ensure a single H1 and no skipped levels.
- Normalize code fences with explicit language tags for syntax highlighting.
- Create or repair GFM tables that render correctly across supported platforms.
- Convert platform-specific Markdown into standard Markdown for migration.
- Check links, relative paths, and anchor references in a single file.
- Produce output suitable for GitHub, GitLab, Obsidian, and VS Code workflows.
- Use Openclaw Skills when you need consistent Markdown output from an AI coding agent.
How Markdown 工具箱（免费版） Works
- Provide the source content and specify the Markdown outcome you want.
- The skill parses the request through
input_paramsand applies the selected operation mode, such as create, query, modify, delete, export, or save. - It generates clean Markdown using portable syntax rules and avoids platform-exclusive constructs.
- It validates structural rules such as heading order, fenced code language labels, table separators, and link format.
- It returns a structured response through
output_format, including result data, status, and logs. - If runtime configuration is needed,
config_optionsis applied to control modification, reset, import, or export behavior. - The final output is a single-file Markdown result designed for broad compatibility and easy migration.
Markdown 工具箱（免费版） Setup
- Ensure your AI agent environment supports SKILL.md-based workflows. This skill is designed for Claude Code, Cursor, Codex, Gemini CLI, and similar agents.
- No API key is required for core usage because the skill is a pure Markdown instruction set.
- If you want optional local validation, install markdownlint:
npm install -g markdownlint-cli
- Use the skill by prompting the agent to generate or repair Markdown content, then verify the output against the portability rules.
- For best results, keep the workflow single-file and avoid platform-specific syntax such as wiki links or Obsidian callouts.
- If your environment has networking or execution constraints, confirm the agent runtime and command execution permissions before validating outputs.
Markdown 工具箱（免费版） Data Schema & Taxonomy
Markdown 工具箱（免费版） organizes output around a small portable metadata and content model.
| Entity | Purpose | Notes |
|---|---|---|
input_params |
Primary request input | Used to define create/query/modify/delete behavior |
config_options |
Runtime configuration | Controls import, reset, export, and related actions |
output_format |
Structured response schema | Returns status, result, and logs in a stable format |
success |
Execution status | Boolean result indicating whether the operation completed |
data.result |
Generated Markdown content | The main Markdown output payload |
data.execution_time |
Runtime metric | Captures completion timing |
data.metadata.version |
Version metadata | Example: 1.0 |
data.metadata.processor |
Processor identifier | Example: markdownkit |
execution_log |
Step-by-step log | Records parse, execution, and formatting stages |
error |
Failure payload | Null on success, populated on runtime or configuration errors |
Core content taxonomy covered by Openclaw Skills:
- Headings: one H1 per file, no skipped levels.
- Code blocks: fenced blocks with explicit language labels.
- Tables: standard GFM tables with separator rows.
- Links: relative paths for internal references and anchors for same-page navigation.
- Images: alt text required; optional size hints may be used where supported.
- Validation: single-file checks for portability, syntax, and structure.
Markdown 工具箱（免费版） Advanced Features
- Portable Markdown generation that avoids platform-exclusive syntax and improves cross-editor rendering.
- Built-in validation for heading hierarchy, fenced code labels, tables, images, and relative links.
- Supports multiple operation modes through
input_params, including create, query, modify, delete, export, and save. - Runtime behavior can be tuned with
config_optionsfor import, reset, and output control. - Structured JSON response format makes it easy for downstream automation to parse results and logs.
- Compatible with agent-based workflows, making Openclaw Skills useful for coding assistants and documentation pipelines.
- Includes practical guidance for both common and advanced Markdown patterns, including Mermaid blocks and migration-safe linking.
- Designed for single-file outputs, which simplifies review, testing, and distribution.
SKILL.md
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