Prompt Improver
/install prompt-improver
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.
- 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.
- 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).
- 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]
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install prompt-improver - 安装完成后,直接呼叫该 Skill 的名称或使用
/prompt-improver触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Prompt Improver 是什么?
Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 34 次。
如何安装 Prompt Improver?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-improver」即可一键安装,无需额外配置。
Prompt Improver 是免费的吗?
是的,Prompt Improver 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Prompt Improver 支持哪些平台?
Prompt Improver 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Prompt Improver?
由 Kevin Anderson(@anderskev)开发并维护,当前版本 v1.0.0。