Dinobase Business Data Queries
kappa90/dinobase
Sets up Dinobase, a local DuckDB database that syncs data from 100+ business sources, then answers questions across them with SQL joins and previewed write-backs.
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Install Data Engineering Data Driven Feature
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-feature --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .claude/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.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/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .claude/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-featureType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-feature --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .agents/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .agents/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-feature --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .cursor/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .cursor/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/sickn33/data-engineering-data-driven-feature--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-feature --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .gemini/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .gemini/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-featureInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .github/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .github/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-driven-feature --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/data-engineering-data-driven-feature .opencode/skills/data-engineering-data-driven-feature && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "data-engineering-data-driven-feature" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-driven-feature into .opencode/skills/data-engineering-data-driven-feature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-driven-feature", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
data-engineering-data-driven-feature- GitHub stars
- 430
- Used in
- 6 other repos
- Token cost
- ~3k tokens
- SKILL.md length
- 1,300 words
- Files
- 2
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
- Works in 6 steps: Data Analysis and Hypothesis Formation → Feature Architecture and Analytics Design → Implementation with Instrumentation → …
- Tasks that involve A/B testing
- SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Phase 1: Data Analysis and…, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Engineering Data Driven Feature is an agent skill from aiskillstore/marketplace. Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in Data & Analytics, covering A/B testing, Data pipelines and ETL and Data analysis. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve A/B testing
- Tasks that involve Data pipelines and ETL
- Tasks that involve Data analysis
Example prompts
- “/data-engineering-data-driven-feature”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Data Analysis and Hypothesis Formation
- Feature Architecture and Analytics Design
- Implementation with Instrumentation
- Pre-Launch Validation
- Launch and Experimentation
- Analysis and Decision Making
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. 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 (its code samples are yaml).
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
Data Engineering Data Driven Feature loads about 3k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 1,300 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,300 words (~3,013 tokens).
“Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.”
- name
- data-engineering-data-driven-feature
Files
SKILL.md and 1 other file in skills/sickn33/data-engineering-data-driven-feature of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 6 other repositories
We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- sickn33/agentic-awesome-skillsskills/data-engineering-data-driven-featureplugins/agentic-awesome-skills/skills/data-engineering-data-driven-feature+1 more
- rmyndharis/antigravity-skillsskills/data-engineering-data-driven-feature
- agent-skills-hub/agent-skills-hubskills/data-engineering-data-driven-feature
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/data-engineering-data-driven-featureantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/data-engineering-data-driven-feature+1 more
- benjaminasterA/antigravity-awesome-skillsskills/data-engineering-data-driven-feature
- henryalouf/ruflow.agents/skills/data-engineering-data-driven-feature.agents/skills/antigravity-awesome-skills/skills/data-engineering-data-driven-feature+4 more
Compare with similar skills
Data Engineering Data Driven Feature 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Data Engineering Data Driven Feature this skillaiskillstore/marketplace | 430 | 6 repos | ~3k | Automated safety check: Pass | None | |
| Dinobase Business Data Querieskappa90/dinobase | 263 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Analytics Engineerborghei/Claude-Skills | 874 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Profiling Tablesastronomer/agents | 450 | — | ~964 | Automated safety check: Pass | Apache-2.0 | |
| Power Analysisgaasher/Agent-Loop-Skills | 174 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Generate Metadataowid/etl | 158 | — | ~6.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Engineering Data Driven Feature
What does Data Engineering Data Driven Feature do?
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation. Data Engineering Data Driven Feature is an agent skill from aiskillstore/marketplace. Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
When should I use Data Engineering Data Driven Feature?
Data Engineering Data Driven Feature fits situations like: tasks that involve A/B testing; tasks that involve Data pipelines and ETL; tasks that involve Data analysis.
How do I install Data Engineering Data Driven Feature in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a claude-code`. Or copy the skill folder (skills/sickn33/data-engineering-data-driven-feature in aiskillstore/marketplace) into .claude/skills/data-engineering-data-driven-feature in your project. Claude Code loads it when a task matches its description.
How do I install Data Engineering Data Driven Feature in Codex?
Run `npx skills add aiskillstore/marketplace --skill data-engineering-data-driven-feature -a codex`. Or copy the skill folder (skills/sickn33/data-engineering-data-driven-feature in aiskillstore/marketplace) into .agents/skills/data-engineering-data-driven-feature in your project. Codex loads it when a task matches its description.
Can I use Data Engineering Data Driven Feature 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 aiskillstore/marketplace --skill data-engineering-data-driven-feature -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-engineering-data-driven-feature, .gemini/skills/data-engineering-data-driven-feature, .github/skills/data-engineering-data-driven-feature and .opencode/skills/data-engineering-data-driven-feature in your project.
What does Data Engineering Data Driven Feature need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Engineering Data Driven Feature is instructions for the agent only.
Does Data Engineering Data Driven Feature 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 Data Engineering Data Driven Feature 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 Data Engineering Data Driven Feature use?
No licence was found for Data Engineering Data Driven Feature or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Engineering Data Driven Feature use?
About 3k tokens (SKILL.md is roughly 12k 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 Data Engineering Data Driven Feature?
Skills that share tags, products or a category with Data Engineering Data Driven Feature: Dinobase Business Data Queries (kappa90/dinobase, 263 stars), Analytics Engineer (borghei/Claude-Skills, 874 stars), Profiling Tables (astronomer/agents, 450 stars) and Power Analysis (gaasher/Agent-Loop-Skills, 174 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Engineering Data Driven Feature?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.