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Skill Extractor

This meta-skill captures successful problem-solving patterns from your conversation history and converts them into reusable Claude Code Skills. It analyzes your session to identify key steps, failure points, and best practices, then generates structured skill files with clear instructions and common pitfalls. Perfect for turning one-off solutions into repeatable workflows.

Skill Extractor captures successful workflows from your conversation and automatically generates reusable Claude Code Skills.

AI-generated summary based on this skill's SKILL.md

0 0 unlicensed, metadata onlyupdated by InfQuest

Decision gist · record as of 2026-01-19

Skill Extractor captures successful workflows from your conversation and automatically generates reusable Claude Code Skills. This meta-skill captures successful problem-solving patterns from your conversation history and converts them into reusable Claude Code Skills. It analyzes your session to identify key steps, failure points, and best practices, then generates structured skill files with clear instructions and common pitfalls. Perfect for turning one-off solutions into repeatable workflows.

manual: git clone https://github.com/InfQuest/vibe-ops-plugin → cp -r vibe-ops-plugin ~/.claude/skills/skill-extractor

Use it when

  • Skill Extractor automates the skill parsing process by recognizing competencies and abilities within documents without manual review.
  • Yes, Skill Extractor automatically detects and identifies skills embedded in documents.
Same gist for agents: .md · .json

Install

InfQuest/vibe-ops-plugin/skill-extractor · repository language: Python

generated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How does Skill Extractor extract skills from text?

Skill Extractor analyzes unstructured text and documents to identify and pull out embedded skills and competencies. It processes content like resumes, job descriptions, and other materials to recognize abilities mentioned throughout, converting raw text into structured, tagged skill data that can be used for matching and analysis.

What is automated skill parsing and how does it work?

Skill Extractor automates the skill parsing process by recognizing competencies and abilities within documents without manual review. The tool scans text for skill mentions, categorizes them, and extracts relevant competencies, enabling rapid processing of large volumes of resumes or job descriptions at scale.

Can Skill Extractor identify skills in documents automatically?

Yes, Skill Extractor automatically detects and identifies skills embedded in documents. It uses skill detection algorithms to scan content, recognize professional competencies, and extract abilities mentioned across resumes, job postings, and other text sources without requiring manual tagging or review.

How does Skill Extractor support talent intelligence workflows?

Skill Extractor enables skill-based matching and talent intelligence by extracting and categorizing abilities from candidate profiles and job requirements. This structured skill data powers matching algorithms, competency gap analysis, and workforce planning, connecting talent to opportunities based on recognized capabilities.

What can Skill Extractor do with job descriptions?

Skill Extractor pulls skills and required competencies from job descriptions, automatically tagging and categorizing the abilities needed for each role. This enables organizations to build skill taxonomies, compare role requirements, and create standardized competency frameworks from raw job posting content.

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Tags
text-parsingcompetency-detectionnlp-extractionresume-analysisjob-matchingskill-taxonomycontent-miningcapability-identificationautomated-taggingtalent-intelligence