engineering-data-engineer
Use this skill to act as the agent defined in engineering-data-engineer.md for tasks matching that role.
Skill by superdba111
Chalk Labs
Need help deploying engineering-data-engineer?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/superdba111-engineering-data-engineer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
engineering-data-engineer- Description
- Use this skill to act as the agent defined in engineering-data-engineer.md for tasks matching that role.
- License
- MIT
- Instructions
- 22 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Data Engineer Use this skill when the user wants Codex to operate in the `Data Engineer` role or when the task clearly matches that agent's specialization. ## Workflow 1. Read [`Agents/engineering-data-engineer.md`](../../Agents/engineering-data-engineer.md) before doing substantive work. 2. Adopt the role, mission, critical rules, deliverables, and communication style defined in that agent file. 3. Use the agent file as the primary specialization reference and combine it with the repository context. 4. Return outputs that match the agent's expected artifacts, such as plans, implementations, reports, QA findings, or architecture deliverables. ## Repository Mapping - Agent definition: `Agents/engineering-data-engineer.md` - Skill purpose: activate the same specialty through the skills system ## Notes - Do not broaden scope beyond the agent's documented remit. - If the task overlaps multiple agents, read the most relevant agent files and state the sequencing.
From superdba111/databricks-lab, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/superdba111/databricks-lab
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.460score
engineering-data-engineer
alexeyban
Use this skill to act as the agent defined in engineering-data-engineer.md for tasks matching that role.
SkillDFreshness: D★ 30Claude Code +9 - 0.221score
engineering-data-engineer
alexeyban
Use this skill to act as the agent defined in engineering-data-engineer.md for tasks matching that role.
SkillDFreshness: DClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get engineering-data-engineer running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
engineering-data-engineer skill. Agent Mart. https://agentmart.dev/skills/superdba111-engineering-data-engineer (last updated 2026-10-24)