meta prompt

Make Claude better at understanding you.

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Install skill "meta prompt" with this command: npx skills add willsigmon/sigstack/willsigmon-sigstack-meta-prompt

Meta Prompt

Make Claude better at understanding you.

When to Use

  • Complex task, unclear how to express it

  • Want optimal results, not just good

  • Creating reusable prompts (skills)

  • Teaching Claude new patterns

Meta Prompt Pattern

Ask for the Prompt

"What's the best way to ask you to [task]?"

Claude returns optimal prompt structure. Then use that prompt.

Prompt Improvement

"Here's my prompt: [prompt] How can I improve it for better results?"

Claude refines your approach.

Constraint Discovery

"What constraints would help you [task] better?"

Claude reveals what it needs to know.

Prompt Architecture

Structure

  1. Context (what you're working on)
  2. Goal (what you want)
  3. Constraints (what to avoid/include)
  4. Format (how to return results)
  5. Examples (if helpful)

Example

Context: iOS app with SwiftUI Goal: Add dark mode toggle to settings Constraints:

  • Use existing Theme system
  • Support system preference
  • Persist user choice Format: Complete Swift code with comments

Prompt Templates

Feature Request

"In [codebase], add [feature]. Use existing [patterns]. Follow [conventions]. Return: [deliverables]"

Bug Investigation

"[Symptom] is happening. Expected: [expected behavior] Actual: [actual behavior] Find root cause and fix."

Code Review

"Review [code] for:

  • [Concern 1]
  • [Concern 2]
  • [Concern 3] Return issues ranked by severity."

Architecture Decision

"Need to choose between [A] and [B] for [use case]. Consider: [factors] Recommend with reasoning."

Skill Creation

From Repeated Prompts

Notice: Same prompt used 3+ times

"Turn this into a reusable skill: [your repeated prompt]"

Claude creates SKILL.md.

Skill Structure


name: Skill Name description: When to use this allowed-tools: [tools] model: [model]

Skill Name

[The optimized prompt content]

Prompt Debugging

Not Getting Good Results?

"My prompt: [prompt] I'm getting: [current results] I want: [desired results] What's wrong with my prompt?"

Too Verbose?

"Compress this prompt while keeping quality: [long prompt]"

Too Vague?

"Make this more specific: [vague prompt]"

Advanced Patterns

Chain of Thought

"Think through this step by step:

  1. First, understand [aspect]
  2. Then, identify [aspect]
  3. Finally, implement [solution]"

Few-Shot Learning

"Here are examples of what I want: Input: [A] → Output: [X] Input: [B] → Output: [Y]

Now do: Input: [C] → Output: ?"

Role Assignment

"Act as a [role] reviewing [thing]. Focus on [concerns] a [role] would have."

Prompt Economics

Token Efficiency

Short prompt + clear constraints > Long prompt + vague intent

Reuse

Good prompt used 100 times = Skill Skill invocation = 50 tokens Manual prompt = 500 tokens

90% savings.

Quick Commands

"Best prompt for [task]?" "Improve: [prompt]" "Compress: [prompt]" "Turn into skill: [prompt]"

Use when: Optimizing prompts, creating skills, complex tasks

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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