Error Message Improver helps teams turn vague failures into clear, actionable error messages with a repeatable workflow for debugging and support.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install error-message-improver-110318
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install error-message-improver-110318 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Error Message Improver is an Openclaw Skills workflow designed to help application developers, support teams, SaaS operators, and end users work through blocking errors without guesswork. It focuses on the core requirement behind better error handling: explain what failed, why it failed, and what the user should do next.
This skill emphasizes practical, local-hardware-friendly outputs such as checklists, templates, decision aids, and implementation guidance. Openclaw Skills is especially useful here because it structures the troubleshooting process, reduces back-and-forth, and produces artifacts that can be reused across support, debugging, and product UX improvements.
No special installation is required beyond adding the Openclaw Skills content to your agent workflow.
references/requirement-plan.md file is available if you want source evidence, planning detail, or review criteria.# Example: place the skill in your local skills directory
mkdir -p ~/openclaw-skills/error-message-improver
cp -R SKILL.md references ~/openclaw-skills/error-message-improver/
# Example: verify supporting reference material exists
ls -la ~/openclaw-skills/error-message-improver/references/
If integrating into an agent system, register the skill under the name error-message-improver and map it to prompts involving error messages, debugging, support, or troubleshooting.
The skill is lightweight and primarily driven by prompt workflow rather than generated datasets. Its structure is organized around the following artifacts and metadata:
| Component | Purpose | Notes |
|---|---|---|
name |
Skill identifier | error-message-improver |
description |
Activation guidance | Describes validated demand and recommended use scenarios |
references/requirement-plan.md |
Supporting reference document | Consult when evidence, planning details, or review criteria are needed |
Workflow section |
Operational process | Defines the step-by-step response lifecycle |
Expected Outputs |
Output contract | Ensures the result is actionable and reusable |
Validation |
Quality gate | Verifies relevance, usability, assumptions, and follow-up notes |
Triggers |
Invocation taxonomy | Keywords and example phrases that activate the skill |
Data handling is centered on the user's input, the discovered requirement, and the resulting artifact. The skill does not define a complex file-based schema; instead, it produces concise outputs such as checklists, workflows, analyses, and implementation support aligned to the immediate request.
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