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multi task
by
Bright Ween
· GitHub ↗
· v1.0.0
354
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Install in OpenClaw
/install multi-task
Description
Orchestrate parallel execution of batch tasks by splitting work into independent units and dispatching them to multiple subagents simultaneously. Use this sk...
Usage Guidance
This skill appears to do what it says — orchestrate parallel tasks — and it has no hidden installs or credential requests. Before using it, consider: (1) the skill's prompts instruct the agent to read and write files using absolute paths and to duplicate any shared context verbatim across many subagents — avoid including passwords, API keys, or other secrets in that shared context; (2) test first with a small pilot (the skill itself recommends pilots) to confirm behavior and resource usage; (3) if you don't want the agent to access certain directories, don't provide those paths and avoid granting file-system permissions; (4) be cautious about allowing the agent to invoke other installed skills automatically — ensure those skills are trusted, since the orchestration will call them on your behalf. If you want a tighter safety posture, require explicit confirmation before dispatching waves or restrict inputs to non-sensitive test data.
Capability Analysis
Type: OpenClaw Skill
Name: multi-task
Version: 1.0.0
The skill bundle provides detailed instructions for an AI agent to orchestrate parallel execution of tasks. It emphasizes creating self-contained subagent prompts, using absolute paths, and organizing outputs within a dedicated project directory. While the skill instructs the agent to use powerful tools like `mkdir -p` and dispatch `Bash` subagents (which could be misused by a malicious user), the instructions within the skill itself are focused on legitimate task management, transparency, and isolation, with no evidence of intentional harmful behavior, data exfiltration, persistence, or prompt injection designed to subvert the agent's core directives.
Capability Assessment
Purpose & Capability
The name/description (parallel batch orchestration) matches the SKILL.md content: it explains identifying work units, building per-task prompts, and dispatching parallel subagents via the Task/Skill tools. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
The instructions explicitly direct the agent to read project files, create output directories (mkdir -p), use absolute filesystem paths, and include shared context verbatim inside each subagent prompt. That behavior is consistent with batch processing but can cause wide file read/write activity and repeated replication of any included context (potentially exposing sensitive data across many subagents). The skill also relies on platform Task and Skill tools to spawn subagents; those are expected for this capability but mean the agent will autonomously invoke other tools/skills during operation.
Install Mechanism
No install spec or code files — instruction-only. Nothing is downloaded or written to disk by installing the skill itself, minimizing install-time risk.
Credentials
The skill requests no environment variables, credentials, or config paths. All required inputs are user-supplied (file lists, templates). This is proportionate to its stated purpose.
Persistence & Privilege
always is false and the skill does not ask to modify other skills or system-wide settings. It can be invoked autonomously (platform default), which is expected for a dispatch/orchestration skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-task - After installation, invoke the skill by name or use
/multi-task - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the multi-task skill: orchestrated parallel batch execution.
- Enables automatic decomposition and parallel processing of multiple similar, independent user tasks.
- Guides subagent prompt construction to ensure each task is performed in isolation, with clear context and outputs.
- Suggests optimal dispatch strategy based on batch size: single or multiple waves, with pilot runs for very large batches.
- Monitors task progress and manages retries for failed tasks to maximize batch throughput.
- Consolidates and presents results efficiently after parallel execution.
Metadata
Frequently Asked Questions
What is multi task?
Orchestrate parallel execution of batch tasks by splitting work into independent units and dispatching them to multiple subagents simultaneously. Use this sk... It is an AI Agent Skill for Claude Code / OpenClaw, with 354 downloads so far.
How do I install multi task?
Run "/install multi-task" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is multi task free?
Yes, multi task is completely free (open-source). You can download, install and use it at no cost.
Which platforms does multi task support?
multi task is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created multi task?
It is built and maintained by Bright Ween (@brightween); the current version is v1.0.0.
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