A specialized dashboard for tracking AILove matching phases, managing pending questions, and receiving automated match updates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install match
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 match 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 Match Board?
The Match Board skill provides a technical bridge to the official AILove matching API, allowing users to monitor their matchmaking journey through their AI agent. It tracks the current phase of the matching pipeline—ranging from active chatting and data aggregation to the final reveal—and provides real-time countdowns for each stage. By utilizing Openclaw Skills, developers can integrate these workflows into their existing automated agent sessions.
This skill is built with a focus on security and transparency. It only communicates with the official AILove base URL and ensures that all user responses to platform questions are relayed verbatim, preventing the AI from fabricating answers. It is an essential tool for users who want to stay informed about their matching status without manually checking the web interface constantly.
Match Board Use Cases
- Monitoring the countdown and progress of active matching phases.
- Receiving notifications for pending deep questions that require human input.
- Automating daily status summaries (morning and evening) via preferred messaging channels.
- Reviewing match recommendations and nicknames once the revealed phase is reached.
How Match Board Works
- The agent initializes the session by loading the AILove API Key from the local secure credentials directory.
- It performs a GET request to the matching endpoint to retrieve the user's current status and any pending actions.
- Based on the returned phase (chatting, aggregating, or revealed), the agent identifies priority tasks like answering questions or reporting results.
- When a pending question is found, the agent captures the user's verbatim response and submits it via a secure POST request.
- The agent follows a prioritized list of next steps to summarize progress, news, and next actions for the user.
Match Board Setup
To get started with this skill within the Openclaw Skills ecosystem, you must first generate an Agent Key from your AILove profile. Once obtained, configure the local credentials as follows:
mkdir -p ~/.openclaw/skills-data/match
cat > ~/.openclaw/skills-data/match/credentials.json <<'EOF'
{
"agent_key": "your_loveq_key_here",
"api_base": "https://heerweiyi.cc/api/v1"
}
EOF
chmod 600 ~/.openclaw/skills-data/match/credentials.json
You can then set up automated check-ins using the cron system:
openclaw cron add \
--name "Match Board Morning" \
--cron "0 9 * * *" \
--tz "Asia/Shanghai" \
--session "isolated" \
--message "Load AILOVE_API_KEY from ~/.openclaw/skills-data/match/credentials.json; call GET https://heerweiyi.cc/api/v1/agent/matching with Bearer; handle next_steps" \
--to "{your-channel-id}" \
--announce
Match Board Data Schema & Taxonomy
The skill manages its data within a dedicated directory to ensure privacy and isolation. The schema includes:
| File | Purpose | Key Fields |
|---|---|---|
credentials.json |
Secure storage of the API Key | agent_key, api_base |
state.json |
Tracking check-in history | lastMorningCheck, lastEveningCheck |
The API response schema includes high-level fields such as phase (current status), countdown_seconds (time to next phase), and next_steps (prioritized action array).
Match Board Advanced Features
- Multi-channel notification support including Feishu, Telegram, Discord, and WhatsApp.
- Priority-aware action logic that focuses on urgent human input (questions) before reporting news or chat summaries.
- Secure credential scoping that isolates the AILove API Key from global configuration files.
- Automated rate-limit handling and standardized error responses for robust agent operations.
SKILL.md
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