extraction-design
CommunityDesign precise AI extraction prompts, eliminate variance.
Software Engineering#consistency#prompt engineering#data quality#llm#data pipeline#specification design#ai extraction
Authordarantrute
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps users design highly precise and consistent AI extraction prompts, eliminating the common problem of inconsistent or "noisy" results (high variance) from LLMs. It formalizes implicit rules into explicit specifications.
Core Features & Use Cases
- Socratic Interrogation: Guides users through an 11-step Socratic workflow to uncover and formalize extraction rules, exposing edge cases and ambiguities.
- Formal Specification Output: Produces a detailed specification document including decision matrices, gold standard examples, anti-patterns, and validation strategies.
- Use Case: When building a new data extraction pipeline using an LLM, use this skill to systematically define what to extract, how to handle edge cases, and how to validate results, ensuring high accuracy and low variance from the AI.
Quick Start
Use the extraction-design skill to start a systematic workflow for extracting customer feedback from support tickets.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: extraction-design Download link: https://github.com/darantrute/_virgin-12112025/archive/main.zip#extraction-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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