Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A skill your agent uses when you need to create or modify a LookML Model file (.model.lkml).
$ npx skills add Kilo-Org/kilo-marketplace --skill lookml-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kilo-Org/kilo-marketplace lookml-model --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/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lookml-model .claude/skills/lookml-model && 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 "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .claude/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-modelType 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 Kilo-Org/kilo-marketplace --skill lookml-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kilo-Org/kilo-marketplace lookml-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lookml-model .agents/skills/lookml-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .agents/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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 Kilo-Org/kilo-marketplace --skill lookml-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kilo-Org/kilo-marketplace lookml-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lookml-model .cursor/skills/lookml-model && 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 "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .cursor/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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/Kilo-Org/kilo-marketplace.git --path skills/lookml-model--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 Kilo-Org/kilo-marketplace --skill lookml-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kilo-Org/kilo-marketplace lookml-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lookml-model .gemini/skills/lookml-model && 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 "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .gemini/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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 Kilo-Org/kilo-marketplace lookml-modelInstalls 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 Kilo-Org/kilo-marketplace --skill lookml-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lookml-model .github/skills/lookml-model && 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 "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .github/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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 Kilo-Org/kilo-marketplace --skill lookml-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kilo-Org/kilo-marketplace lookml-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lookml-model .opencode/skills/lookml-model && 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 "lookml-model" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/lookml-model into .opencode/skills/lookml-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lookml-model", 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.
lookml-modelA skill your agent uses when you need to create or modify a LookML Model file (.model.lkml).
Lookml Model is an agent skill from Kilo-Org/kilo-marketplace. Use this skill when you need to create or modify a LookML Model file (.model.lkml). This includes defining connections, includes, and configuring model-level settings.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in Data & Analytics. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are lookml).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Lookml Model loads about 1.1k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 299 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.
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.
The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its Apache-2.0 licence (© Kilo-Org). 299 words, ~1,120 tokens.
.claude/skills/lookml-model/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.connection: "connection_name": Must match a connection defined in Looker Admin.include: "pattern": Specifies which view and dashboard files are available to the model.include: "*.view" if possible to prevent performance issues and namespace clutter. Use specific paths or wildcards like include: "/views/users.view" or include: "/views/marketing/*.view".label: to provide a user-friendly name for the model in the UI.week_start_day: if the business logic requires a specific start day (e.g., monday).Datagroups are the preferred mechanism for managing caching policies.
persist_for| Feature | Datagroups (Recommended) | persist_for |
|---|---|---|
| Trigger | SQL Query (Smart) | Fixed Time (Dumb) |
| Alignment | Aligns with ETL/ELT completion | Misaligned (guesswork) |
| Management | Centralized in Model file | Scattered in Explores/Models |
| Use Case | Production dashboards, ETL synchronization | Ad-hoc queries, Real-time (<1h) needs |
[!TIP] Use
persist_forONLY for real-time dashboards where you need to force a cache refresh every X minutes (e.g., stock tickers, fast-moving inventory). For everything else, use Datagroups.
Use strict patterns to control scope and performance.
| Pattern | Description | Use Case |
|---|---|---|
include: "/views/*.view" | All views in specific folder | Standard modularity |
include: "/views/marketing/users.view" | Specific file | Precise control, avoids conflicts |
include: "/**/*.view" | Recursive (all views in project) | Avoid unless small project |
include: "/dashboards/*.dashboard" | All dashboards in folder | Importing dashboards |
connection: "thelook"
# Include all views in the views/ folder
include: "/views/*.view"
# Include all dashboards
include: "/*.dashboard"
# Define an Explore (usually better to define in separate files for large projects, but acceptable here for small ones)
explore: orders {
join: users {
type: left_outer
sql_on: ${orders.user_id} = ${users.id} ;;
relationship: many_to_one
}
}connection: "snowlooker"
label: "eCommerce Analytics"
# Set valid week start day
week_start_day: monday
# Include specific folders
include: "/views/finance/*.view"
include: "/views/marketing/*.view"
## Model with Datagroup (Best Practice)
```lookml
connection: "thelook"
# Define the caching policy
datagroup: ecommerce_etl {
description: "Triggers when the max created_at date changes in the events table."
sql_trigger: SELECT MAX(created_at) FROM `project.dataset.events` ;;
max_cache_age: "24 hours" # Fallback
}
# Apply default caching to all Explores in this model
persist_with: ecommerce_etl
include: "/views/*.view"
explore: orders {
# This explore inherits 'persist_with: ecommerce_etl' from the model default
}
explore: real_time_dashboard {
# Override with a different policy if needed
persist_for: "5 minutes"
}
```© Kilo-Org, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/lookml-model of Kilo-Org/kilo-marketplace.
Open the folder on GitHubat commit ff51758
Lookml Model 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 |
|---|---|---|---|---|---|---|
| Lookml Model this skillKilo-Org/kilo-marketplace | 190 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 18 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 83k | 2 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
Kilo-Org/kilo-marketplace
Sets up and maintains AzureML-ready Python projects as uv workspaces with devcontainers, a Makefile and job YAML, so local runs match cloud jobs and experiments stay reproducible.
Kilo-Org/kilo-marketplace
Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.
Kilo-Org/kilo-marketplace
Takes a plain-language dashboard request through brand setup, data exploration, planning, an interactive HTML mock and a Tableau implementation spec.
Kilo-Org/kilo-marketplace
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.
Kilo-Org/kilo-marketplace
A skill your agent uses when arranging Apache NiFi processors, process groups, ports, comments, numbering, crossing connections, dense fan-in/fan-out, or reusable readable canvas layouts.
Kilo-Org/kilo-marketplace
Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…
Categories
A skill your agent uses when you need to create or modify a LookML Model file (.model.lkml). Lookml Model is an agent skill from Kilo-Org/kilo-marketplace.lkml).
Lookml Model fits situations like: you need to create; modify a LookML Model file (.model.lkml).
Run `npx skills add Kilo-Org/kilo-marketplace --skill lookml-model -a claude-code`. Or copy the skill folder (skills/lookml-model in Kilo-Org/kilo-marketplace) into .claude/skills/lookml-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Kilo-Org/kilo-marketplace --skill lookml-model -a codex`. Or copy the skill folder (skills/lookml-model in Kilo-Org/kilo-marketplace) into .agents/skills/lookml-model in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill lookml-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lookml-model, .gemini/skills/lookml-model, .github/skills/lookml-model and .opencode/skills/lookml-model in your project.
SKILL.md names no scripts, command-line tools or credentials: Lookml Model is instructions for the agent only.
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.
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.
Lookml Model is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Lookml Model: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 190 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on September 28, 2026.
Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.