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anderskev

Prompt Improver

by Kevin Anderson · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install prompt-improver
Description
Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, co...
README (SKILL.md)

Prompt Improver

Optimize code-related prompts for clarity, investigation-first thinking, and verification.

Input

$ARGUMENTS

Step 1: Analyze the Prompt

Evaluate the input prompt across these dimensions:

Dimension What to check
Task Clarity Is the task type clear? (implement, fix, refactor, review, test) Are boundaries defined?
Investigation Does it specify reading/understanding before acting?
Verification Are there appropriate checks? (run tests, build, lint)
Context Anchoring Does it reference specific files, functions, or patterns?
Action Specificity Is the desired outcome explicit? Quality expectations stated?
Scope Control Is it appropriately scoped? Clear stopping points?

Identify which dimensions are weak or missing in the input prompt.

Gates (sequenced)

Complete in order; do not skip steps.

  1. Audit gate (end of Step 1): Pass when the forthcoming Analysis names the task type and either lists each weak or missing dimension from the table or explicitly states all dimensions are adequate, with a brief reason for any dimension you treat as already sufficient.
  2. Transform gate (Step 2): Pass when every improvement you will list under "Improvements Applied" maps to a gap from the audit (or to deliberate strengthening when the prompt was already adequate).
  3. Output gate (Step 3): Pass when the Optimized Prompt block appears only after Gates 1–2 pass.

Step 2: Apply Transformation Rules

Task Clarity

  • Convert vague requests → specific task type + scope
  • Add "implement", "fix", "refactor", "review", or "test" when ambiguous
  • Specify affected files/components when inferable

Investigation-First

  • Add "Read and understand [relevant files] before making changes"
  • For bugs: "Reproduce and understand the root cause first"
  • For features: "Check existing patterns in the codebase"

Anti-Hallucination

  • "Do not assume code structure you haven't read"
  • "Verify imports/dependencies exist before using them"
  • "Check for existing utilities before creating new ones"

Verification Steps

  • For implementation: "Run tests after changes"
  • For refactoring: "Ensure behavior is unchanged"
  • For fixes: "Verify the fix and check for regressions"

Positive Framing

  • Convert "don't break tests" → "ensure tests pass after changes"
  • Convert "don't over-engineer" → "implement the minimal solution"

Scope Control

  • Add explicit boundaries when missing
  • Break multi-part requests into phases if needed

Examples

Bug Fix

Original: "fix the login bug"

Optimized:
Fix the login bug. First, read the authentication-related files to understand
the current implementation. Reproduce the bug to confirm the issue. Identify
the root cause before making changes. Implement the fix and run existing tests
to verify no regressions.

Feature Implementation

Original: "add dark mode"

Optimized:
Implement dark mode for the application. First, check how theming/styling is
currently handled in the codebase. Look for existing color variables or theme
patterns. Implement the toggle and theme switching with minimal changes to
existing components. Run tests and verify the UI renders correctly in both modes.

Refactoring

Original: "clean up the user service"

Optimized:
Refactor the user service for improved maintainability. Read the current
implementation and understand its responsibilities. Identify specific issues
(duplication, unclear naming, tight coupling). Make incremental changes,
running tests after each step to ensure behavior is unchanged.

Task-Type Tips

Task Type Tip
Bug fixes Include reproduction steps if known. Specify whether this is a quick fix or needs root cause analysis.
Feature implementation Reference similar features in the codebase. Specify if tests are expected.
Refactoring State the goal (readability, performance, testability). Emphasize incremental changes.
Code review Specify focus areas (security, performance, style). Mention what to ignore.
Testing Specify test type (unit, integration, e2e). Reference existing test patterns.

Step 3: Generate Output

Follow the Gates under Step 1 (audit → transform → output). Produce output in this exact format:

Analysis

[2-3 sentences identifying the prompt type, which dimensions are weak or missing, or why all dimensions are already adequate]

Improvements Applied

  • [Bullet list of specific transformations applied]

Optimized Prompt

[The improved prompt, ready to copy and use]

Tips for This Prompt Type

[1-2 sentences of relevant tips from the Task-Type Tips table]

Usage Guidance
This version appears safe to install based on the clean VirusTotal and SkillSpector results and lack of artifact-backed concerns. As with any skill, review its visible instructions before use and avoid granting credentials or broad local access unless the task clearly requires it.
Capability Assessment
Purpose & Capability
No scanner findings or inspected workspace evidence showed purpose-mismatched capabilities, exfiltration, destructive behavior, or deceptive instructions.
Instruction Scope
No prompt-injection indicators were supplied, and no material instruction-scope concerns were identified from the available evidence.
Install Mechanism
No suspicious install hooks, automatic execution, or unexpected dependency behavior were identified in the provided scan context.
Credentials
The supplied evidence does not show overbroad file, credential, network, or system access beyond a stated skill purpose.
Persistence & Privilege
No persistence mechanism, privilege escalation, background worker, or hidden long-running behavior was identified.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install prompt-improver
  3. After installation, invoke the skill by name or use /prompt-improver
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of prompt-improver skill. - Optimizes code-related prompts for implementation, debugging, refactoring, code review, and testing. - Audits prompts for clarity, context, investigation-first approach, verification, specificity, and scope. - Sequential gates enforce thorough prompt analysis and targeted improvements. - Provides clear formatted output with analysis, list of improvements, and an optimized prompt. - Includes prompt-specific tips for common code tasks.
Metadata
Slug prompt-improver
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Prompt Improver?

Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, co... It is an AI Agent Skill for Claude Code / OpenClaw, with 34 downloads so far.

How do I install Prompt Improver?

Run "/install prompt-improver" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Prompt Improver free?

Yes, Prompt Improver is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Prompt Improver support?

Prompt Improver is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Prompt Improver?

It is built and maintained by Kevin Anderson (@anderskev); the current version is v1.0.0.

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