ChatDecode is an AI-powered communication analyst that uncovers subtext, emotional shifts, and hidden meanings in text and voice messages across all major chat platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chatdecode
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 chatdecode 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 ChatDecode?
ChatDecode acts as a sophisticated layer for Openclaw Skills, functioning as a high-fidelity decoder for digital communication. It moves beyond literal text translation to identify passive-aggression, flirting signals, gaslighting patterns, and honesty gaps. By analyzing punctuation, response latency, and word choice, it provides developers and users with a deep psychological map of any conversation.
This skill is particularly adept at cross-cultural communication, specifically bridging the gap between English and Chinese texting norms. Whether you are navigating professional Slack dynamics or personal dating app exchanges, ChatDecode provides ranked interpretations based on linguistic data and behavioral patterns.
ChatDecode Use Cases
- Analyzing vague or emotionally charged messages on WhatsApp, iMessage, or WeChat.
- Identifying power dynamics and alliance patterns in professional group chats like Slack or Microsoft Teams.
- Decoding social media posting patterns and visibility changes to understand underlying intent.
- Interpreting the psychological signals behind voice message length, timing, and tone.
- Assessing relationship trajectories based on read-receipt latency and reply repair habits.
How ChatDecode Works
- Input the raw text, conversation history, or a description of a voice message/social media post.
- The skill performs a Surface Reading to establish the literal context of the exchange.
- It executes a Subtext Analysis, evaluating word choice, punctuation (e.g., "ok." vs "ok~"), and message metadata.
- Emotional Mapping categorizes the sender's state into archetypes like performing, anxious, or distant.
- A Confidence Score is generated to indicate the reliability of the interpretation based on available signals.
- The skill outputs a Recommended Approach, providing strategic guidance on how to respond effectively.
ChatDecode Setup
To integrate ChatDecode into your environment, ensure you are using the latest version of Openclaw Skills. You can initialize the analyzer via the CLI:
openclaw install chatdecode
openclaw run chatdecode --input "Your message history here"
For localized analysis, no additional configuration is required as the skill automatically detects and replies in the user's language.
ChatDecode Data Schema & Taxonomy
ChatDecode processes interaction data and returns structured insights. The following table describes the primary data points returned:
| Key | Description | Format |
|---|---|---|
| Surface | The literal meaning of the provided text. | String |
| Subtext | Specific linguistic signals and hidden meanings. | Markdown List |
| Emotional State | Emoji and label indicating the sender's mood. | String |
| Confidence | Percentage-based reliability score (High/Medium/Low). | String |
| Reply Direction | Strategic recommendation for the next interaction. | String |
| Group Map | Social hierarchy analysis for multi-participant chats. | Object |
ChatDecode Advanced Features
- Cross-Cultural Engine: Specialized decoding logic for Chinese vs. English texting nuances (e.g., analyzing the use of wave tildes or specific particle endings).
- Voice Message Metadata Analysis: Evaluates the choice of voice over text and interprets background noise and speech velocity.
- Relationship Memory: Tracks pattern shifts over time, such as declining interest or increasing engagement levels.
- Social Media Intent Tracking: Analyzes the "why" behind specific posting behaviors like late-night updates or workout 'glow-ups'.
- Read-Receipt Forensics: Distinguishes between being genuinely busy and intentional power plays based on baseline behavioral data.
SKILL.md
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