Process metadata extractor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedData & Analytics

Install Metadata Extractor

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill metadata-extractor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace metadata-extractor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-data-pipelines/metadata-extractor .claude/skills/metadata-extractor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
metadata-extractor
GitHub stars
2.8k
Token cost
~562 tokens
SKILL.md length
190 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Process metadata extractor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
  • : metadata extractor
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Metadata Extractor is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process metadata extractor operations. Auto-activating skill for Data Pipelines. Triggers on: metadata extractor, metadata extractor Part of the Data Pipelines skill category. Use when working with metadata extractor functionality. Trigger with phrases like "metadata extractor", "metadata extractor", "metadata".

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Data & Analytics, covering Data pipelines and ETL. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • : metadata extractor
  • Metadata extractor Part of the Data Pipelines skill category
  • Working with metadata extractor functionality
  • With phrases like metadata extractor

Example prompts

  • “metadata extractor”
  • “metadata”
  • “/metadata-extractor”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Provides step-by-step guidance for metadata extractor
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(cmd:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Metadata Extractor loads about 562 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~562

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 190 words, ~562 tokens.

Download SKILL.mdSave it as .claude/skills/metadata-extractor/SKILL.md (or your agent's skills folder).
name
metadata-extractor
description
Process metadata extractor operations. Auto-activating skill for Data Pipelines. Triggers on: metadata extractor, metadata extractor Part of the Data Pipelines skill category. Use when working with metadata extractor functionality. Trigger with phrases like "metadata extractor", "metadata extractor", "metadata".
allowed-tools
Read, Write, Edit, Bash(cmd:*), Grep
compatibility
Designed for Claude Code
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
data, data-engineering

Metadata Extractor

Overview

This skill provides automated assistance for metadata extractor tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "metadata extractor" in your request
  • Ask about metadata extractor patterns or best practices
  • Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

  1. Provides step-by-step guidance for metadata extractor
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with metadata extractor" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of data pipelines concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/11-data-pipelines/metadata-extractor of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Metadata Extractor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Metadata Extractor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Metadata Extractor this skilljeremylongshore/tons-of-skills-marketplace2.8k—~562Automated safety check: PassMIT
Crawl4AI Web Scrapingsmallnest/goclaw5991 repos~2.5kAutomated safety check: PassMIT
Glue 09 10 Migrationaws-samples/aws-glue-samples1.5k—~2.4kAutomated safety check: PassMIT-0
Migrate Glue Devendpoint To Interactive Sessionsaws-samples/aws-glue-samples1.5k—~3.6kAutomated safety check: PassMIT-0
Dbt Databricks PR Readydatabricks/dbt-databricks380—~2.8kAutomated safety check: PassApache-2.0
Apache Spark EngineerJeffallan/claude-skills12k1 repos~1.7kAutomated safety check: PassMIT

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Questions about Metadata Extractor

What does Metadata Extractor do?

Process metadata extractor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Metadata Extractor is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process metadata extractor operations.

When should I use Metadata Extractor?

Metadata Extractor fits situations like: : metadata extractor; metadata extractor Part of the Data Pipelines skill category; working with metadata extractor functionality; with phrases like metadata extractor.

How do I install Metadata Extractor in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill metadata-extractor -a claude-code`. Or copy the skill folder (skills/11-data-pipelines/metadata-extractor in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/metadata-extractor in your project. Claude Code loads it when a task matches its description.

How do I install Metadata Extractor in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill metadata-extractor -a codex`. Or copy the skill folder (skills/11-data-pipelines/metadata-extractor in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/metadata-extractor in your project. Codex loads it when a task matches its description.

Can I use Metadata Extractor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill metadata-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metadata-extractor, .gemini/skills/metadata-extractor, .github/skills/metadata-extractor and .opencode/skills/metadata-extractor in your project.

What does Metadata Extractor need to run?

SKILL.md names no scripts, command-line tools or credentials: Metadata Extractor is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Metadata Extractor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Metadata Extractor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Metadata Extractor use?

Metadata Extractor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Metadata Extractor use?

About 562 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Metadata Extractor?

Skills that share tags, products or a category with Metadata Extractor: Crawl4AI Web Scraping (smallnest/goclaw, 599 stars), Glue 09 10 Migration (aws-samples/aws-glue-samples, 1.5k stars), Migrate Glue Devendpoint To Interactive Sessions (aws-samples/aws-glue-samples, 1.5k stars) and Dbt Databricks PR Ready (databricks/dbt-databricks, 380 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Metadata Extractor?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.