Error Message Improver for Openclaw

Openclaw Skills for turning vague errors into clear, actionable messages that explain what failed, why it failed, and what to do next.

kyro-ma
v0.1.0
Jul 13, 2026
0
462
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install error-message-improver-010622

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install error-message-improver-010622 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Error Message Improver?

Error Message Improver is an Openclaw Skills workflow for turning vague failures into concise, user-centered error guidance.

It helps developers, support teams, and SaaS operators restate the issue, identify likely causes, and produce next-step instructions that reduce back-and-forth and speed up troubleshooting. The skill is optimized for practical delivery: it favors clear assumptions, local-friendly workflows, and reusable artifacts over cloud-only or training-heavy approaches.

Error Message Improver Use Cases

  • Improving vague runtime, validation, or API errors into actionable messages.
  • Drafting support replies for customers blocked by unclear failures.
  • Creating debugging checklists or decision aids for repeated incidents.
  • Writing clearer UI copy for error states, warnings, and recovery prompts.
  • Documenting assumptions, constraints, and verification steps for implementation reviews.
  • Turning one-off troubleshooting into a reusable workflow for Openclaw Skills users.

How Error Message Improver Works

  1. Restate the user's outcome, constraints, available inputs, and success criteria.
  2. Create a concise work plan, template, automation outline, or decision aid that reduces manual coordination.
  3. Ask only for missing information that materially changes the output; otherwise make reasonable assumptions and continue.
  4. Keep the implementation local-hardware friendly by preferring scripts, templates, checklists, and small-model or CPU-safe workflows over cloud-only or large-training approaches.
  5. Produce the requested artifact, workflow, checklist, analysis, code change, or decision support.
  6. Validate the output against the success criteria and list any remaining risks or follow-up work.

Error Message Improver Setup

  1. Copy the skill into your Openclaw Skills workspace.
  2. Make sure the supporting reference file is available at references/requirement-plan.md when you need source evidence or review criteria.
  3. Prepare a minimal context bundle for each request: the raw error text, surrounding logs or repro steps, the target audience, and any output constraints.
  4. Use a quick filesystem check to confirm the skill and reference files are in place:
mkdir -p ~/.openclaw/skills
cp -R ./error-message-improver ~/.openclaw/skills/
ls ~/.openclaw/skills/error-message-improver
  1. Invoke the skill with the desired artifact type, for example a rewritten error message, support response, checklist, or debugging workflow.

Error Message Improver Data Schema & Taxonomy

Metadata taxonomy

Field Purpose
name Skill identifier: error-message-improver
description Validated demand statement and usage intent
Requirement Clearer error messages that explain what failed, why it failed, and what action to take next
Demand score 100/100 with 70/70 demand and 30/30 local feasibility
Evidence 12 signals across 3 source families
Triggers work-productivity, error messages, debugging, user feedback, support, troubleshooting

Input schema

  • User outcome
  • Constraints and available inputs
  • Success criteria
  • Error text, logs, examples, or repro steps
  • Audience: developer, support agent, SaaS operator, or end user

Output schema

  • Tailored answer or artifact
  • Reusable checklist or workflow
  • Verification note and residual risks

Files and references

  • SKILL.md: primary skill definition and workflow
  • references/requirement-plan.md: source evidence, planning details, and review criteria
  • No mandatory persistent output files; exported artifacts are typically markdown notes, checklists, or implementation guidance

Error Message Improver Advanced Features

  • Validated demand framing keeps the skill grounded in real user and support pain.
  • Local-hardware-friendly workflow prefers scripts, templates, and CPU-safe approaches.
  • Minimal clarification loop asks only for missing details that materially change the result.
  • Built-in validation checks the output against success criteria and flags residual risks.
  • Reusable artifacts support repeated debugging, support replies, and UX copy improvements.
  • Openclaw Skills integration makes it easy to route troubleshooting and work-productivity requests into a consistent process.

SKILL.md


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