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.

openclaw-knowhow-skill/docs/reference/concepts/markdown-formatting.md

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+# 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