Agent skill

Discover Data

by rand in rand/cc-polymath

Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration.

MITAuto-check passedData & Analytics

Install Discover Data

skills CLI
$ npx skills add rand/cc-polymath --skill discover-data -a claude-code

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

GitHub CLI
$ gh skill install rand/cc-polymath discover-data --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/rand/cc-polymath.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discover-data .claude/skills/discover-data && 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
discover-data
GitHub stars
181
Token cost
~915 tokens
SKILL.md length
323 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration.

  • Works in 9 steps: batch-processing - Orchestrating complex… → data-validation - Validating data schema… → dataflow-coordination - Coordination… → …
  • Tasks that involve Data pipelines and ETL
  • SKILL.md covers When This Skill Activates, Available Skills, Common Workflow Combinations and Progressive Loading, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discover Data is an agent skill from rand/cc-polymath. Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration. Activates for data development tasks.

Its SKILL.md is about 920 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. Compatible with any agent supporting the Agent Skills format.

It sits in Data & Analytics, covering Data pipelines and ETL. The repository describes itself as: Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths. The licence is MIT.

When your agent uses it

  • Tasks that involve Data pipelines and ETL

Example prompts

  • “/discover-data”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

Workflow steps

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

  1. batch-processing - Orchestrating complex data pipelines with dependencies
  2. data-validation - Validating data schema before processing
  3. dataflow-coordination - Coordination patterns for distributed dataflow systems
  4. differential-dataflow - Differential computation for incremental updates and efficient joins
  5. etl-patterns - Designing data extraction from multiple sources
  6. pipeline-orchestration - Coordinating complex multi-step data workflows
  7. stream-processing - Processing real-time event streams (Kafka, Flink)
  8. streaming-aggregations - Windowing, sessionization, time-series aggregation
  9. timely-dataflow - Low-latency streaming computation with progress tracking

What it can do on your machine

Read from SKILL.md and the folder at commit baa2df1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    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. Compatible with any agent supporting the Agent Skills format.

    From compatibility in the SKILL.md frontmatter.

Context cost

Discover Data loads about 915 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 323 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~915

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 rand/cc-polymath at commit baa2df1, republished under its MIT licence (© rand). 323 words, ~915 tokens.

Download SKILL.mdSave it as .claude/skills/discover-data/SKILL.md (or your agent's skills folder).
name
discover-data
description
Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration. Activates for data development tasks.
compatibility
Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.
license
MIT
metadata.author
rand
metadata.version
4.0

Data Skills Discovery

Provides automatic access to comprehensive data skills.

When This Skill Activates

This skill auto-activates when you're working with:

  • ETL
  • data pipelines
  • batch processing
  • stream processing
  • data validation
  • orchestration
  • Airflow
  • timely dataflow
  • differential dataflow
  • streaming aggregations
  • windowing
  • real-time analytics

Available Skills

Quick Reference

The Data category contains 9 skills:

  1. batch-processing - Orchestrating complex data pipelines with dependencies
  2. data-validation - Validating data schema before processing
  3. dataflow-coordination - Coordination patterns for distributed dataflow systems
  4. differential-dataflow - Differential computation for incremental updates and efficient joins
  5. etl-patterns - Designing data extraction from multiple sources
  6. pipeline-orchestration - Coordinating complex multi-step data workflows
  7. stream-processing - Processing real-time event streams (Kafka, Flink)
  8. streaming-aggregations - Windowing, sessionization, time-series aggregation
  9. timely-dataflow - Low-latency streaming computation with progress tracking
Load Full Category Details

For complete descriptions and workflows:

Read ../data/INDEX.md

This loads the full Data category index with:

  • Detailed skill descriptions
  • Usage triggers for each skill
  • Common workflow combinations
  • Cross-references to related skills
Load Specific Skills

Load individual skills as needed:

Traditional ETL/Batch

Read ../data/batch-processing.md Read ../data/data-validation.md Read ../data/etl-patterns.md Read ../data/pipeline-orchestration.md

Stream Processing

Read ../data/stream-processing.md Read ../data/streaming-aggregations.md

Advanced Dataflow Systems

Read ../data/timely-dataflow.md Read ../data/differential-dataflow.md Read ../data/dataflow-coordination.md

Common Workflow Combinations

Real-Time Analytics Pipeline

Load these skills together:

Read ../data/stream-processing.md # Kafka setup Read ../data/streaming-aggregations.md # Windowing patterns Read ../data/dataflow-coordination.md # Coordination

Incremental Computation System

Load these skills together:

Read ../data/timely-dataflow.md # Foundation Read ../data/differential-dataflow.md # Incremental updates Read ../data/dataflow-coordination.md # Distributed coordination

Hybrid Batch + Stream

Load these skills together:

Read ../data/batch-processing.md # Batch jobs Read ../data/stream-processing.md # Stream processing Read ../data/pipeline-orchestration.md # Overall coordination

Progressive Loading

This gateway skill enables progressive loading:

  • Level 1: Gateway loads automatically (you're here now)
  • Level 2: Load category INDEX.md for full overview
  • Level 3: Load specific skills as needed

Usage Instructions

  1. Auto-activation: This skill loads automatically when Claude Code detects data work
  2. Browse skills: Run Read ../data/INDEX.md for full category overview
  3. Load specific skills: Use bash commands above to load individual skills

Next Steps: Run Read ../data/INDEX.md to see full category details.

© rand, 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/discover-data of rand/cc-polymath.

Open the folder on GitHubat commit baa2df1

Compare with similar skills

Discover Data 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.

Discover Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discover Data this skillrand/cc-polymath181—~915Automated safety check: PassMIT
Crawl4AI Web Scrapingsmallnest/goclaw5981 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-databricks379—~2.8kAutomated safety check: PassApache-2.0
Mz Dbt ReleaseMaterializeInc/materialize6.4k—~1.2kAutomated safety check: PassCustom licence

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Questions about Discover Data

What does Discover Data do?

Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration. Discover Data is an agent skill from rand/cc-polymath. Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration.

When should I use Discover Data?

Discover Data fits situations like: tasks that involve Data pipelines and ETL.

How do I install Discover Data in Claude Code?

Run `npx skills add rand/cc-polymath --skill discover-data -a claude-code`. Or copy the skill folder (skills/discover-data in rand/cc-polymath) into .claude/skills/discover-data in your project. Claude Code loads it when a task matches its description.

How do I install Discover Data in Codex?

Run `npx skills add rand/cc-polymath --skill discover-data -a codex`. Or copy the skill folder (skills/discover-data in rand/cc-polymath) into .agents/skills/discover-data in your project. Codex loads it when a task matches its description.

Can I use Discover Data 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 rand/cc-polymath --skill discover-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discover-data, .gemini/skills/discover-data, .github/skills/discover-data and .opencode/skills/discover-data in your project.

What does Discover Data need to run?

SKILL.md names no scripts, command-line tools or credentials: Discover Data is instructions for the agent only. Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format..

Does Discover Data 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 Discover Data 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 Discover Data use?

Discover Data 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 Discover Data use?

About 915 tokens (SKILL.md is roughly 3.7k 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 Discover Data?

Skills that share tags, products or a category with Discover Data: Crawl4AI Web Scraping (smallnest/goclaw, 598 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, 379 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discover Data?

rand (a GitHub user) maintains it in rand/cc-polymath, which has 181 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on February 28, 2026.

Source: rand/cc-polymath on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.