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openclaw-skill/openclaw-knowhow-skill/docs/reference/concepts/markdown-formatting.md
Selig 4c966a3ad2 Initial commit: OpenClaw Skill Collection
6 custom skills (assign-task, dispatch-webhook, daily-briefing,
task-capture, qmd-brain, tts-voice) with technical documentation.
Compatible with Claude Code, OpenClaw, Codex CLI, and OpenCode.
2026-03-13 10:58:30 +08:00

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Markdown

# Markdown Formatting
OpenClaw processes Markdown through an intermediate representation (IR) system that maintains consistent formatting across multiple chat platforms including Slack, Telegram, and Signal.
## Core Architecture
The system operates in three stages:
1. Parsing Markdown into an IR format
2. Chunking the IR text before rendering
3. Converting to channel-specific output
The IR preserves plain text plus style spans (bold/italic/strike/code/spoiler) and link spans, using UTF-16 code units for offset compatibility.
## Key Design Principles
The approach aims to achieve:
- **Consistency**: Single parsing step with multiple renderers
- **Safe chunking**: Avoid splitting inline formatting
- **Adaptability**: Same IR works across different platform requirements without re-parsing
## Channel-Specific Rendering
Each platform receives tailored output:
| Platform | Formatting |
|----------|------------|
| **Slack** | Uses mrkdwn formatting with `<url\|label>` link syntax |
| **Telegram** | Applies HTML tags for styling and links |
| **Signal** | Employs plain text with style ranges; links display as "label (url)" |
## Table Handling
Tables support three modes:
- Code blocks (default)
- Bullet-point conversion
- Disabled parsing
Configuration allows per-channel and per-account customization.
## Implementation Guidance
Adding formatters requires:
1. Parsing with appropriate options
2. Implementing channel-specific renderers
3. Calling the chunking function before rendering
4. Updating the adapter
5. Adding test coverage for both formatting and delivery