Prompt Engineering Expert

Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents

MIT-0 · Free to use, modify, and redistribute. No attribution required.
53 · 11.1k · 132 current installs · 135 all-time installs
byTomsTools@TomsTools11
MIT-0
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Purpose & Capability
The skill name and description match the provided files (README, BEST_PRACTICES, TECHNIQUES, EXAMPLES, etc.). All declared capabilities (prompt analysis, generation, refinement, templates, testing guidance) are implemented as documentation and examples — nothing requests unrelated access or capabilities.
Instruction Scope
SKILL.md and other docs are instruction-only and constrain the skill to analysis/guidance. They do not instruct the agent to read system secrets, exfiltrate data, or call arbitrary external endpoints. The docs include example snippets referencing Claude/Anthropic APIs, the Files API, and the Agent SDK; those are usage examples, not runtime requirements. If you actually integrate the skill with external services (Files API, Agent SDK), those integrations will require separate credentials and may change the risk profile.
Install Mechanism
No install spec and no code files to execute — lowest install risk. The skill is purely markdown documentation and will not download or install binaries when uploaded as-is.
Credentials
The skill declares no required environment variables, credentials, or config paths. Example code shows an Anthropic client call but no credential is required by the skill itself. No disproportionate secret access is requested.
Persistence & Privilege
always:false (default) and model invocation allowed — both are normal. The skill does not request elevated or persistent system privileges and does not modify other skills or system-wide settings.
Assessment
This skill is a documentation-only prompt engineering toolkit and appears internally consistent. Before installing: 1) Understand that the skill itself does not request credentials, but using its examples with the Agent SDK, Files API, or Claude/Anthropic APIs will require you to supply keys — only provide those in trusted environments. 2) Review the example code and templates to ensure they don't embed any sensitive data or hardcoded secrets before uploading. 3) Treat the outputs as expert guidance — test refined prompts in your environment before relying on them for critical tasks. 4) If you extend the skill (add code or install steps), re-evaluate for downloads, network endpoints, or env‑var requirements that could change its risk profile.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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claudevk9766fy4nq4we8y7gb395czz7x7zx3bmlatestvk9766fy4nq4we8y7gb395czz7x7zx3bmpromptvk9766fy4nq4we8y7gb395czz7x7zx3bmprompt engineeringvk9766fy4nq4we8y7gb395czz7x7zx3bm

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Prompt Engineering Expert Skill

This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance.

Capabilities

  • Prompt Writing Best Practices: Expert guidance on clear, direct prompts with proper structure and formatting
  • Custom Instructions Design: Creating effective system prompts and custom instructions for AI agents
  • Prompt Optimization: Analyzing, refining, and improving existing prompts for better performance
  • Advanced Techniques: Chain-of-thought prompting, few-shot examples, XML tags, role-based prompting
  • Evaluation & Testing: Developing test cases and success criteria for prompt evaluation
  • Anti-patterns Recognition: Identifying and correcting common prompt engineering mistakes
  • Context Management: Optimizing token usage and context window management
  • Multimodal Prompting: Guidance on vision, embeddings, and file-based prompts

Use Cases

  • Refining vague or ineffective prompts
  • Creating specialized system prompts for specific domains
  • Designing custom instructions for AI agents and skills
  • Optimizing prompts for consistency and reliability
  • Teaching prompt engineering best practices
  • Debugging prompt performance issues
  • Creating prompt templates for reusable workflows

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