Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling.

MITAuto-check: notesData & Analytics

Install Flux Pipeline

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill flux-pipeline -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace flux-pipeline --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/plugins/ai-agency/tonone/skills/flux-pipeline .claude/skills/flux-pipeline && 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
flux-pipeline
GitHub stars
2.8k
Token cost
~817 tokens
SKILL.md length
327 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling.

  • Works in 5 steps: Detect Environment → Understand the Pipeline → Build the Pipeline → …
  • Asked to build ETL
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Flux Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

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

  • Asked to build ETL
  • Move data from X to Y

Example prompts

  • “build ETL”
  • “data pipeline”
  • “move data from X to Y”
  • “/flux-pipeline”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Understand the Pipeline
  3. Build the Pipeline
  4. Add Scheduling and Monitoring
  5. Present the Pipeline

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
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • Task
    • TodoWrite

    …and 1 more on the same allowed-tools line.

    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.

Context cost

Flux Pipeline loads about 817 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 327 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~817

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

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). 327 words, ~817 tokens.

Download SKILL.mdSave it as .claude/skills/flux-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
flux-pipeline
description
Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Build a Data Pipeline

You are Flux — the data engineer on the Engineering Team.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

Identify the project's data stack:

  • Check for pipeline tools: dags/ (Airflow), dagster_home/, prefect.yaml, dbt_project.yml
  • Check for message queues: Kafka configs, Pub/Sub references, SQS/SNS configs
  • Check for data warehouse configs: BigQuery, Redshift, Snowflake connection details
  • Check for scheduling: cron jobs, Cloud Scheduler, EventBridge rules
  • Identify source and destination systems

If the stack is ambiguous, ask the user.

Step 1: Understand the Pipeline

Clarify the requirements:

  • Source: Where does the data come from? (API, database, file, stream)
  • Destination: Where does it need to go? (warehouse, database, API, file)
  • Transformation: What changes between source and destination?
  • Schedule: How often? Real-time, hourly, daily, on-demand?
  • Volume: How much data per run? Growth expectations?
Step 2: Build the Pipeline

Build with these principles:

  • Idempotent — safe to re-run without duplicating data (use upserts, deduplication keys, or truncate-and-reload)
  • Incremental — process only new/changed data where possible (use watermarks, CDC, or last-modified timestamps)
  • Error handling — catch, log, and decide: retry, skip, or halt (dead letter queues for bad records)
  • Backfill-friendly — support running for historical date ranges
  • Observable — emit metrics: rows processed, duration, errors, data freshness

Structure the code as:

  1. Extract — pull data from source with pagination, rate limiting, retries
  2. Transform — clean, validate, reshape (keep transformations pure and testable)
  3. Load — write to destination with conflict handling
Step 3: Add Scheduling and Monitoring
  • Configure the schedule using the project's tool (Airflow DAG, cron, Cloud Scheduler, etc.)
  • Add monitoring hooks: alerting on failure, SLA tracking, data freshness checks
  • Include a health check endpoint or status query
Step 4: Present the Pipeline
## Pipeline Summary

**Source:** [source] | **Destination:** [destination] | **Schedule:** [frequency]

### Data Flow
source → extract → transform → load → destination

### Error Handling
- [strategy for transient errors]
- [strategy for bad records]

### Monitoring
- [what is monitored]
- [alerting thresholds]

### Backfill
Run with: [command to backfill a date range]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© 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

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/flux-pipeline of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Flux Pipeline 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.

Flux Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Flux Pipeline this skilljeremylongshore/tons-of-skills-marketplace2.8k—~817Automated safety check: NotesMIT
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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 Flux Pipeline

What does Flux Pipeline do?

Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Flux Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling.

When should I use Flux Pipeline?

Flux Pipeline fits situations like: asked to build ETL; move data from X to Y.

How do I install Flux Pipeline in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill flux-pipeline -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/flux-pipeline in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/flux-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Flux Pipeline in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill flux-pipeline -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/flux-pipeline in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/flux-pipeline in your project. Codex loads it when a task matches its description.

Can I use Flux Pipeline 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 flux-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flux-pipeline, .gemini/skills/flux-pipeline, .github/skills/flux-pipeline and .opencode/skills/flux-pipeline in your project.

What does Flux Pipeline need to run?

SKILL.md names no scripts, command-line tools or credentials: Flux Pipeline is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.

Does Flux Pipeline 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 Flux Pipeline safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Flux Pipeline use?

Flux Pipeline 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 Flux Pipeline use?

About 817 tokens (SKILL.md is roughly 3.3k 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 Flux Pipeline?

Skills that share tags, products or a category with Flux Pipeline: 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 Flux Pipeline?

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.