A comprehensive interface for managing and terminating background subagent tasks directly within Feishu chat environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-task-control
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 feishu-task-control 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 Feishu Task Control?
Feishu Task Control is a dedicated module within the Openclaw Skills ecosystem that provides users with direct oversight of background processes. When AI agents spawn subagents to handle complex research, coding, or data tasks, this skill allows users to monitor their status and intervene when necessary. It translates simple chat messages into precise system commands, ensuring that background operations remain transparent and manageable.
By integrating this capability, teams using Openclaw Skills can prevent resource exhaustion and maintain a clean workspace. The skill bridges the gap between low-level process management and high-level conversational AI, making it easier for non-technical users to control sophisticated multi-agent workflows without needing to understand the underlying infrastructure.
Feishu Task Control Use Cases
- Monitoring the percentage progress of multiple research subagents running in the background.
- Terminating a specific long-running task that is no longer relevant to the conversation.
- Listing all active jobs to identify which AI processes are consuming tokens or time.
- Stopping all concurrent subagents immediately during a workflow pivot.
How Feishu Task Control Works
- The user provides a command via Feishu, either through a slash command like
/subagents listor natural language such as "stop the second task." - The skill queries the active session using internal subagent and session list tools to identify all currently running child tasks.
- The system resolves the user's intended target by matching numeric IDs, labels, or performing a fuzzy match on task summaries.
- If the target is ambiguous, the skill prompts the user for clarification by presenting a numbered list of active tasks.
- Upon confirmation, the skill executes the stop or kill command via the Openclaw Skills backend and returns a human-readable confirmation to the chat.
Feishu Task Control Setup
This skill is typically pre-configured as part of the standard Openclaw deployment for Feishu. To ensure it is active, verify that your agent has the necessary permissions to access session and subagent management tools.
# Example command to check status of active skills
openclaw skills list
No additional configuration is required beyond ensuring the agent is invited to the Feishu chat where the tasks are being managed.
Feishu Task Control Data Schema & Taxonomy
The skill organizes background task data by mapping subagent processes to the current requester session. It maintains a temporary metadata taxonomy to facilitate easy retrieval:
| Field | Type | Description |
|---|---|---|
| Task ID | Integer | The unique numeric identifier or index of the subagent. |
| Label | String | A short descriptive name for the task (e.g., "Market Research"). |
| Status | String | Current execution state and progress percentage. |
| Session ID | UUID | The internal reference linking the task to the specific Feishu chat context. |
Feishu Task Control Advanced Features
- Natural language support for both English and Chinese command processing.
- Fuzzy matching logic to identify tasks based on partial descriptions or summaries.
- Recursive termination capability to stop a parent task and all associated child subagents simultaneously.
- Silent inspection mode that allows the agent to check task statuses without cluttering the chat with technical logs.
SKILL.md
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