Semantic Analyst
sidequery/sidemantic
Answer analytical, KPI, metric, trend, cohort, and business-performance questions through a Sidemantic semantic layer.
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.
$ npx skills add davila7/claude-code-templates --skill bigquery-basics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davila7/claude-code-templates bigquery-basics --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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .claude/skills/bigquery-basics && 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 "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .claude/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basicsType 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 davila7/claude-code-templates --skill bigquery-basics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davila7/claude-code-templates bigquery-basics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .agents/skills/bigquery-basics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .agents/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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 davila7/claude-code-templates --skill bigquery-basics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davila7/claude-code-templates bigquery-basics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .cursor/skills/bigquery-basics && 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 "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .cursor/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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/davila7/claude-code-templates.git --path cli-tool/components/skills/database/bigquery-basics--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 davila7/claude-code-templates --skill bigquery-basics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davila7/claude-code-templates bigquery-basics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .gemini/skills/bigquery-basics && 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 "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .gemini/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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 davila7/claude-code-templates bigquery-basicsInstalls 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 davila7/claude-code-templates --skill bigquery-basics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .github/skills/bigquery-basics && 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 "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .github/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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 davila7/claude-code-templates --skill bigquery-basics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install davila7/claude-code-templates bigquery-basics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli-tool/components/skills/database/bigquery-basics .opencode/skills/bigquery-basics && 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 "bigquery-basics" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/bigquery-basics into .opencode/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", 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.
bigquery-basicsManages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.
Bigquery Basics is an agent skill from davila7/claude-code-templates. Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/cli-usage.md`, `references/client-library-usage.md` and `references/core-concepts.md`).
It sits in Databases, covering Data warehousing. It works with Google BigQuery, SQL and Model Context Protocol. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4c82aba. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Bigquery Basics loads about 1.1k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 250 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 davila7/claude-code-templates at commit 4c82aba, republished under its MIT licence (© davila7). 250 words, ~1,150 tokens.
.claude/skills/bigquery-basics/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.BigQuery is a serverless, AI-ready data platform that enables high-speed analysis of large datasets using SQL and Python. Its disaggregated architecture separates compute and storage, allowing them to scale independently while providing built-in machine learning, geospatial analysis, and business intelligence capabilities.
Enable the BigQuery API:
gcloud services enable bigquery.googleapis.com --quietCreate a Dataset:
bq mk --dataset --location=US my_datasetCreate a Table:
Create a file named schema.json with your table schema:
[
{
"name": "name",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "post_abbr",
"type": "STRING",
"mode": "NULLABLE"
}
]Then create the table with the bq tool:
bq mk --table my_dataset.mytable schema.jsonRun a Query:
bq query --use_legacy_sql=false \
'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` \
WHERE state = "TX" LIMIT 10'Core Concepts: Storage types, analytics workflows, and BigQuery Studio features.
CLI Usage: Essential bq command-line tool
operations for managing data and jobs.
Client Libraries: Using Google Cloud client libraries for Python, Java, Node.js, and Go.
MCP Usage: Using the BigQuery remote MCP server and Gemini CLI extension.
Infrastructure as Code: Terraform examples for datasets, tables, and reservations.
IAM & Security: Roles, permissions, and data governance best practices.
If you need product information not found in these references, use the
Developer Knowledge MCP server search_documents tool.
© davila7, MIT. 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 6 other files (references) in cli-tool/components/skills/database/bigquery-basics of davila7/claude-code-templates.
Open the folder on GitHubat commit 4c82aba
Bigquery Basics 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 |
|---|---|---|---|---|---|---|
| Bigquery Basics this skilldavila7/claude-code-templates | 32k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Semantic Analystsidequery/sidemantic | 129 | — | ~982 | Automated safety check: Pass | AGPL-3.0 | |
| Imaging Data CommonsK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~7.8k | Automated safety check: Pass | MIT | |
| Cloud Monitoring Metric Selectiongoogle/skills | 21k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Migrating To Amazon Redshiftaws/agent-toolkit-for-aws | 2.8k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | |
| Google Cloud Storage Basicsgoogle/skills | 21k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 |
sidequery/sidemantic
Answer analytical, KPI, metric, trend, cohort, and business-performance questions through a Sidemantic semantic layer.
K-Dense-AI/scientific-agent-skills
Queries and downloads public cancer imaging data from NCI Imaging Data Commons.
google/skills
Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud…
aws/agent-toolkit-for-aws
Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting.
google/skills
Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.
sidequery/sidemantic
Build interactive analytics webapps, demos, dashboards, or embedded app surfaces from Sidemantic semantic models using copyable component primitives and deterministic query inspection.
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davila7/claude-code-templates
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davila7/claude-code-templates
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davila7/claude-code-templates
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davila7/claude-code-templates
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davila7/claude-code-templates
Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management.
Works with
Categories
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Bigquery Basics is an agent skill from davila7/claude-code-templates. Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.
Bigquery Basics fits situations like: resource management; AI applications on BigQuery.
Run `npx skills add davila7/claude-code-templates --skill bigquery-basics -a claude-code`. Or copy the skill folder (cli-tool/components/skills/database/bigquery-basics in davila7/claude-code-templates) into .claude/skills/bigquery-basics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add davila7/claude-code-templates --skill bigquery-basics -a codex`. Or copy the skill folder (cli-tool/components/skills/database/bigquery-basics in davila7/claude-code-templates) into .agents/skills/bigquery-basics 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 davila7/claude-code-templates --skill bigquery-basics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bigquery-basics, .gemini/skills/bigquery-basics, .github/skills/bigquery-basics and .opencode/skills/bigquery-basics in your project.
SKILL.md names no scripts, command-line tools or credentials: Bigquery Basics is instructions for the agent only. Our summary lists: Node.js.
SKILL.md names 1 domain. As links in the text: github.com. 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.
Bigquery Basics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Bigquery Basics: Semantic Analyst (sidequery/sidemantic, 129 stars), Imaging Data Commons (K-Dense-AI/scientific-agent-skills, 48k stars), Cloud Monitoring Metric Selection (google/skills, 21k stars) and Migrating To Amazon Redshift (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,432 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 7, 2026.
Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.