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SKILL verified MIT Self-run

Prompt Optimizer

skill-aznatkoiny-zai-skills-prompt-optimizer · by Aznatkoiny

Optimize prompts for Claude 4.x models using Anthropic's official best practices. Use when users want to improve, refine, or create effective prompts for Claude. Triggers include requests to optimize prompts, make prompts more effective, fix underperforming prompts, create system prompts, improve instruction following, reduce verbosity, control output formatting, or enhance agentic/tool-use behav…

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Install

$ agentstack add skill-aznatkoiny-zai-skills-prompt-optimizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Prompt Optimizer

Optimize prompts for Claude 4.x models (Sonnet 4.5, Haiku 4.5, Opus 4.5) using Anthropic's official guidance.

Core Principles

1. Be Explicit

Claude 4.x models follow instructions precisely. Request behaviors explicitly rather than hoping Claude infers them.

Less effective: Create an analytics dashboard

More effective: Create an analytics dashboard. Include as many relevant features and interactions as possible. Go beyond the basics to create a fully-featured implementation.

2. Provide Context for Why

Explain motivation behind instructions to help Claude generalize appropriately.

Less effective: NEVER use ellipses

More effective: Your response will be read aloud by a text-to-speech engine, so never use ellipses since the text-to-speech engine will not know how to pronounce them.

3. Align Examples with Desired Behavior

Claude pays close attention to examples. Ensure they demonstrate exactly what you want, without patterns you want to avoid.

Optimization Workflow

  1. Diagnose the issue (verbosity, formatting, tool use, instruction following)
  2. Select relevant patterns from references/patterns.md
  3. Apply the appropriate prompt snippets
  4. Test the optimized prompt

Quick Fixes by Issue

Too Verbose

Add: Keep responses concise and direct. Avoid unnecessary elaboration.

Too Much Markdown/Bullets

See references/formatting.md for detailed prompts to control output style.

Not Using Tools

Add: By default, implement changes rather than only suggesting them. Use tools to take action.

Generic "AI Slop" Output

Add creativity guidance or use the frontend-aesthetics pattern from references/patterns.md.

Not Following Instructions

Make instructions explicit, add context for why, frame positively (what TO do, not what NOT to do).

Reference Files

  • references/patterns.md - Complete prompt snippets organized by use case
  • references/formatting.md - Output format control patterns
  • references/agentic.md - Tool use, parallel execution, and multi-context workflows

Load the appropriate reference file based on the optimization need.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.