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Install in OpenClaw
/install prompt-to-skill-router
Description
Decides the best execution path for a request—direct answer, existing skill, new skill, or multi-skill workflow—favoring lowest friction and value.
Usage Guidance
This skill is internally consistent and low-risk: it only provides routing guidance and asks for no credentials or installs. Before enabling, confirm how your agent runtime exposes 'environment awareness' (what the skill can see about installed skills and system state) so you understand what it may rely on. Also ensure any downstream 'New Skill' or 'Multi-Skill' actions require explicit user approval before installing or granting access to credentials — the router may recommend installing other skills, but those follow-on installs are where permission and credential risks can appear.
Capability Analysis
Type: OpenClaw Skill
Name: prompt-to-skill-router
Version: 1.0.0
The skill bundle is a meta-cognitive routing framework designed to help an AI agent decide the most efficient way to handle a user request (e.g., answering directly vs. using a tool). The instructions in SKILL.md focus on minimizing friction and avoiding unnecessary skill installations, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name and description match the actual content: a decision-making router. It declares no binaries, env vars, or installs — all proportional to a purely instruction-based routing skill.
Instruction Scope
SKILL.md stays within the router role and does not ask the agent to read files, secrets, or external endpoints. It does rely on unspecified 'environment awareness' (i.e., the agent's visibility into what skills are installed/available) but does not instruct how to obtain that info or to access sensitive data. This is reasonable for a meta-skill but leaves some implementation detail to the runtime.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest-risk install profile. Nothing is downloaded or written to disk.
Credentials
The skill requires no environment variables, credentials, or config paths. No disproportionate secret access is requested.
Persistence & Privilege
Defaults (always:false, autonomous invocation allowed) are normal. The skill does not request permanent presence or to modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prompt-to-skill-router - After installation, invoke the skill by name or use
/prompt-to-skill-router - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of prompt-to-skill-router.
- Routes user requests to the optimal execution path: direct answer, existing skill, new skill, or multi-skill workflow.
- Explicitly weighs value vs. friction for each route, emphasizing lowest-friction solutions.
- Produces clear, structured route explanations with confidence levels and reasoning against alternatives.
- Does not recommend skills by default; prefers direct solutions when appropriate.
- Integrates environment awareness, handoff logic, and clear routing principles to avoid unnecessary complexity.
Metadata
Frequently Asked Questions
What is Prompt To Skill Router?
Decides the best execution path for a request—direct answer, existing skill, new skill, or multi-skill workflow—favoring lowest friction and value. It is an AI Agent Skill for Claude Code / OpenClaw, with 152 downloads so far.
How do I install Prompt To Skill Router?
Run "/install prompt-to-skill-router" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Prompt To Skill Router free?
Yes, Prompt To Skill Router is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Prompt To Skill Router support?
Prompt To Skill Router is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Prompt To Skill Router?
It is built and maintained by ToBeWin (@tobewin); the current version is v1.0.0.
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