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improving-prompts AI Agent Skill
View Source: cachemoney/agent-toolkit
SafeInstallation
npx skills add cachemoney/agent-toolkit --skill improving-prompts 7
Installs
Improving Prompts
Overview
Apply documented Claude 4.5 best practices to existing prompts. Do not invent "improvements" - use the actual guidance from Anthropic.
When to Use
- Optimizing CLAUDE.md or AGENTS.md files
- Improving custom command prompts
- Refining skill instructions
- Migrating prompts from older Claude models to 4.5
When NOT to Use
- Writing new prompts from scratch (just follow best practices directly)
- The prompt is working well and user hasn't identified issues
The Core Problem
Without this skill, agents:
- Invent "best practices" from general knowledge
- Make structural changes without asking what's broken
- Add complexity assuming more structure = better
- Change things to demonstrate value rather than solve problems
Common Rationalizations (Do Not Fall For These)
| Rationalization | Reality |
|---|---|
| "The user said it's too vague" | "Too vague" isn't actionable. What specific behavior fails? |
| "I'm the expert, trust me" | Authority doesn't bypass the need for concrete issues |
| "Time pressure - demo tomorrow" | Pressure is when agents make the worst decisions |
| "The spirit of the skill is to help" | Violating the letter IS violating the spirit |
| "I have enough context" | If you can't name the specific failure, you don't |
| "Structure is always better" | Structure solves structure problems, not all problems |
| "This is obviously an improvement" | Obvious to you ≠ solving the user's actual problem |
Required Process
Step 1: Understand Before Changing
Before ANY modifications:
- Ask what specific behaviors are underperforming
- Ask what the prompt should achieve that it currently doesn't
- If user says "just improve it generally" - ask for at least one concrete issue
What counts as a "concrete issue":
- "Claude ignores my instruction to be concise" ✓
- "The examples I provide don't match the output format" ✓
- "Claude suggests changes but doesn't implement them" ✓
What does NOT count:
- "It's too vague" ✗ (vague about what?)
- "It doesn't follow best practices" ✗ (which practice? what fails?)
- "It's inconsistent" ✗ (inconsistent how? show examples)
Do NOT proceed with generic "improvements" based on assumptions.
Step 2: Reference Actual Best Practices
See references/claude-4.5-best-practices.md for the complete reference. Key principles:
Be explicit with instructions:
- Claude 4.5 follows instructions precisely - vague requests get literal interpretations
- If you want "above and beyond" behavior, explicitly request it
- Example: "Create a dashboard" → "Create a dashboard. Include relevant features and interactions. Go beyond basics."
Add context/motivation:
- Explain WHY a rule exists, not just WHAT the rule is
- Claude generalizes from explanations
- Example: "NEVER use ellipses" → "Never use ellipses because the text-to-speech engine cannot pronounce them"
Be vigilant with examples:
- Examples are followed precisely - ensure they demonstrate desired behavior
- One excellent example beats many mediocre ones
Avoid "think" without extended thinking:
- When extended thinking is disabled, "think" triggers unwanted behavior
- Use alternatives: "consider," "evaluate," "assess," "determine"
Control verbosity explicitly:
- Claude 4.5 defaults to efficiency/conciseness
- If you want summaries or explanations, request them explicitly
Tool usage patterns:
- "Can you suggest changes" → Claude suggests but doesn't implement
- "Make these changes" → Claude implements
- Be explicit about whether to act or advise
Step 3: Preserve What Works
- Do NOT restructure sections that aren't problematic
- Do NOT add complexity unless solving a stated problem
- Do NOT change tone/voice unless specifically requested
- Keep the user's examples if they demonstrate the right behavior
Step 4: Propose Changes with Rationale
For each change, state:
- What specific best practice it applies
- What problem it solves
- Show before/after
Do NOT make changes without connecting them to documented guidance.
Red Flags - You're About to Fail
- "Based on general best practices..." → STOP. Use documented practices.
- "Structure is always better..." → STOP. Ask if structure is the problem.
- "I'll assume the user wants..." → STOP. Ask.
- Making 10+ changes to a short prompt → STOP. What specific problem are you solving?
- "This is how I would write it..." → STOP. You're not the user.
Quick Reference: Claude 4.5 Improvements
| Issue | Fix |
|---|---|
| Claude takes things too literally | Add "Go beyond basics" or explicit scope |
| Claude doesn't explain reasoning | Add "Explain your reasoning" or "Think through this step by step" |
| Claude is too verbose | Add "Be concise" or "Respond in X sentences" |
| Claude is too terse | Add "Provide detailed explanations" |
| Claude suggests but doesn't act | Change "Can you..." to imperative "Do X" |
| Instruction isn't followed | Add context for WHY the instruction matters |
| Examples not matching output | Ensure examples show exact desired format |
Common Mistakes
Overengineering: Adding categories, numbered lists, XML structure to simple prompts that were working fine.
Changing voice: The user's CLAUDE.md reflects their personality. Don't make it sound like documentation.
Assuming problems: Making changes without knowing what's actually broken.
Inventing practices: Claiming something is a "best practice" without reference to actual guidance.
Installs
Security Audit
View Source
cachemoney/agent-toolkit
More from this source
How to use this skill
Install improving-prompts by running npx skills add cachemoney/agent-toolkit --skill improving-prompts in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of improving-prompts, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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