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Task Executor
by
Mao XiaoHei！
· GitHub ↗
· v1.0.0
· MIT-0
248
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install task-executor
Description
任务执行器。接收用户需求，自动拆分任务，异步执行，返回结果。 **核心功能**： - 需求输入：用户直接说需求 - 任务拆分：AI 分析，自动拆分 - 自动执行：subagent 异步执行 - 进度跟踪：本地状态 **使用场景**： - "帮我分析AI发展趋势" - "调研某个话题" - "写一份报告
Usage Guidance
This skill is an instruction-only orchestration recipe for splitting and running sub‑tasks; it does not require credentials or install anything. Before installing: be aware it will ask the agent to spawn subagents and perform web searches, and it proposes writing a local state file (memory/tasks/active.json). If you enable the optional Feishu integration you will need to provide Feishu credentials — those are not included in the skill metadata, so only supply them if you trust the skill and understand where data will be sent. Because the instructions are high-level, monitor the first runs to see what external endpoints or prompts for credentials the agent produces and limit access to sensitive files or secrets during testing.
Capability Analysis
Type: OpenClaw Skill
Name: task-executor
Version: 1.0.0
The skill bundle contains only documentation and high-level instructions for a task orchestration agent. It describes a standard workflow for splitting user requests into sub-tasks (search, analysis, documentation) and executing them using OpenClaw features like sessions_spawn. No malicious code, data exfiltration, or harmful prompt injections were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name and description describe a multi-agent task executor; the SKILL.md contains only orchestration instructions (task split, search, document, analysis, async execution). There are no declared env vars, binaries, or install steps that would be unrelated to the stated purpose.
Instruction Scope
Instructions are high-level orchestration guidance and mention spawning subagents (sessions_spawn), parallel execution, and storing simple local state (memory/tasks/active.json). This scope is consistent with the skill's purpose, but the instructions are vague about which external search endpoints or agents to call and how subagents are authenticated. The doc also mentions an optional Feishu (Lark) spreadsheet integration but does not declare required credentials.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk by an installer and there are no third‑party packages to review.
Credentials
The skill declares no required environment variables or credentials, which is proportional. One caveat: it suggests optional Feishu table sync (which would require Feishu credentials if enabled) but does not declare or require those creds in the metadata; users should expect to supply such credentials only if they opt into that integration.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill proposes writing a local state file under memory/tasks/active.json — this is reasonable for progress tracking and is limited in scope. The skill does not request system‑wide modifications or other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install task-executor - After installation, invoke the skill by name or use
/task-executor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Major update: skill upgraded to version 4.0.0 with comprehensive new documentation and process breakdown.
- New architecture introduced: automatic task splitting, subagent async execution, and local progress tracking.
- Expanded agent roles (Main, Search, Document, Analysis) and detailed execution workflows.
- Added real-world usage scenarios and examples for both simple and complex task flows.
- Now supports optional integration with local state files and Feishu spreadsheets for task management and visualization.
- Clearly defined core functions, trigger keywords, and best practices for asynchronous, parallel execution.
Metadata
Frequently Asked Questions
What is Task Executor?
任务执行器。接收用户需求，自动拆分任务，异步执行，返回结果。 **核心功能**： - 需求输入：用户直接说需求 - 任务拆分：AI 分析，自动拆分 - 自动执行：subagent 异步执行 - 进度跟踪：本地状态 **使用场景**： - "帮我分析AI发展趋势" - "调研某个话题" - "写一份报告. It is an AI Agent Skill for Claude Code / OpenClaw, with 248 downloads so far.
How do I install Task Executor?
Run "/install task-executor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Task Executor free?
Yes, Task Executor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Task Executor support?
Task Executor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Task Executor?
It is built and maintained by Mao XiaoHei！ (@maoxiaohei2026-tech); the current version is v1.0.0.
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