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prompt-polisher
by
Xiaojian Chen
· GitHub ↗
· v1.0.0
· MIT-0
85
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install prompt-polisher1
Description
Rewrite rough goals, scattered notes, or vague requests into clear, actionable prompts with explicit objective, constraints, output format, and missing assum...
Usage Guidance
This skill appears internally consistent and low-risk: it only contains instructions for rewriting prompts and requires no installs or credentials. Before using, avoid pasting any sensitive information (API keys, passwords, or private data) because the skill will rewrite and return whatever you provide. If you plan to let an autonomous agent use this skill, remember the agent could include user-supplied content in downstream requests — do not feed secrets. If you want extra assurance, test with non-sensitive example prompts first.
Capability Analysis
Type: OpenClaw Skill
Name: prompt-polisher1
Version: 1.0.0
The skill bundle is a straightforward prompt engineering tool designed to refine vague user requests into structured prompts. The instructions in SKILL.md and the configuration in agents/openai.yaml are entirely focused on text transformation and lack any high-risk capabilities such as code execution, network access, or data exfiltration.
Capability Assessment
Purpose & Capability
The skill's name and description match the SKILL.md: it only describes transforming rough requests into clearer prompts. It does not request unrelated credentials, binaries, or system access that would be disproportionate to rewriting prompts.
Instruction Scope
The SKILL.md gives clear, bounded instructions for rewriting prompts (identify goal, extract constraints, list assumptions, produce a structured prompt). It does not instruct the agent to read files, environment variables, system state, or to send data to external endpoints. Note: the skill will echo user-provided text, so avoid submitting secrets.
Install Mechanism
No install spec and no code files are present — the skill is instruction-only, so nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are required. The agent instructions do not reference any secrets or unrelated services.
Persistence & Privilege
always:false and user-invocable:true (defaults). The skill can be invoked autonomously by the agent (normal platform behavior) but does not request permanent presence, nor does it modify other skills or system configuration. agents/openai.yaml only defines a small interface/default prompt.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prompt-polisher1 - After installation, invoke the skill by name or use
/prompt-polisher1 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Prompt Polisher.
- Transforms rough, vague, or scattered user requests into clear, actionable prompts with explicit goals, constraints, output format, and assumptions.
- Ensures prompts are concise, well-structured, and preserve the original user intent.
- Automatically identifies and addresses missing but necessary details, explicitly labeling any assumptions made.
- Provides the option to include follow-up questions when key information is lacking.
Metadata
Frequently Asked Questions
What is prompt-polisher?
Rewrite rough goals, scattered notes, or vague requests into clear, actionable prompts with explicit objective, constraints, output format, and missing assum... It is an AI Agent Skill for Claude Code / OpenClaw, with 85 downloads so far.
How do I install prompt-polisher?
Run "/install prompt-polisher1" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is prompt-polisher free?
Yes, prompt-polisher is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does prompt-polisher support?
prompt-polisher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created prompt-polisher?
It is built and maintained by Xiaojian Chen (@chenxiaojian985); the current version is v1.0.0.
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