Agent skill

Snowflake Development

by borghei in borghei/Claude-Skills

This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot…

MITAuto-check passedDatabases

Install Snowflake Development

skills CLI
$ npx skills add borghei/Claude-Skills --skill snowflake-development -a claude-code

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

GitHub CLI
$ gh skill install borghei/Claude-Skills snowflake-development --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/snowflake-development .claude/skills/snowflake-development && 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
snowflake-development
GitHub stars
881
Token cost
~746 tokens
SKILL.md length
247 words
Files
3 (incl. scripts, references)
Skills in repo
349
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot…

  • Works in 4 steps: Collect slow queries from query history → Run analyzer to identify optimization… → Apply recommended changes → …
  • Asks to optimize Snowflake queries
  • SKILL.md covers Overview, Clarify First, Quick Start and Tools Overview, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Snowflake Development is an agent skill from borghei/Claude-Skills. This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot Snowflake cost issues".

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/snowflake-best-practices.md` and `scripts/snowflake_query_helper.py`).

It sits in Databases, covering Data warehousing. It works with Snowflake and SQL. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Asks to optimize Snowflake queries
  • Analyze Snowflake SQL performance
  • Size Snowflake warehouses
  • Review Snowflake data models

Example prompts

  • “optimize Snowflake queries”
  • “analyze Snowflake SQL performance”
  • “size Snowflake warehouses”
  • “/snowflake-development”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Collect slow queries from query history
  2. Run analyzer to identify optimization opportunities
  3. Apply recommended changes
  4. Compare before/after execution plans

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Snowflake Development loads about 746 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 247 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~746
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 247 words, ~746 tokens.

Download SKILL.mdSave it as .claude/skills/snowflake-development/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
snowflake-development
description
This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot Snowflake cost issues".
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
engineering
metadata.domain
data-warehouse
metadata.updated
2026-04-02
metadata.tags
snowflake, sql, data-warehouse, query-optimization, warehouse-sizing

Snowflake Development

Category: Engineering Domain: Data Warehouse

Overview

The Snowflake Development skill provides tools for analyzing and optimizing Snowflake SQL queries, recommending warehouse sizing, and enforcing Snowflake-specific best practices. Helps data engineers reduce costs and improve query performance.

Clarify First

Before analyzing or sizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Action — analyze / optimize / warehouse-sizing (--action; selects the workflow)
  • SQL file or query — the specific query(ies) to optimize (--file; the subject of the analysis)
  • Workload type & data volume — ETL / BI / ad-hoc and the GB scale (--workload/--data-volume; drives the warehouse recommendation)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

bash
# Analyze a Snowflake SQL file for optimization opportunities
python scripts/snowflake_query_helper.py --file queries.sql --action analyze

# Get warehouse sizing recommendations
python scripts/snowflake_query_helper.py --action warehouse-sizing --workload "etl" --data-volume "500GB"

# Optimize a specific query
python scripts/snowflake_query_helper.py --file slow_query.sql --action optimize

Tools Overview

ToolPurposeKey Flags
snowflake_query_helper.pyAnalyze, optimize Snowflake SQL and recommend warehouse sizes--file, --action, --workload, --data-volume

Workflows

Query Performance Optimization
  1. Collect slow queries from query history
  2. Run analyzer to identify optimization opportunities
  3. Apply recommended changes
  4. Compare before/after execution plans
Warehouse Right-Sizing
  1. Identify workload type (ETL, BI, ad-hoc, etc.)
  2. Run warehouse-sizing with data volume
  3. Review recommendations
  4. Implement multi-cluster settings if applicable

Reference Documentation

Common Patterns

Cost Reduction
  • Right-size warehouses (don't use XL for small queries)
  • Set auto-suspend to 60 seconds for ad-hoc warehouses
  • Use materialized views for frequently accessed aggregations
  • Partition large tables with clustering keys
  • Avoid SELECT * in production queries

© borghei, 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 2 other files (scripts, references) in engineering/snowflake-development of borghei/Claude-Skills.

  • SKILL.md
  • references/snowflake-best-practices.md
  • scripts/snowflake_query_helper.py

Open the folder on GitHubat commit 4a698e8

Compare with similar skills

Snowflake Development 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.

Snowflake Development compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Snowflake Development this skillborghei/Claude-Skills881—~746Automated safety check: PassMIT
Expensive Snowflake Query FinderAltimateAI/data-engineering-skills128—~662Automated safety check: PassMIT
SQL Queriesw95/awesome-claude-corporate-skills2373 repos~2.8kAutomated safety check: PassMIT
Optimizing Query By IdAltimateAI/data-engineering-skills128—~919Automated safety check: PassMIT
Snowflake Semanticviewgithub/awesome-copilot40k1 repos~1.1kAutomated safety check: PassMIT
Snowflake Developmentsickn33/agentic-awesome-skills47k2 repos~2.1kAutomated safety check: PassMIT

Similar skills

  • Expensive Snowflake Query Finder

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    128 GitHub stars~662 tokensUpdated 6 days ago
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  • SQL Queries

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    Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.).

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    AltimateAI/data-engineering-skills

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    128 GitHub stars~919 tokensUpdated 6 days ago
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  • Snowflake Semanticview

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    Official

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    40k GitHub starsUsed in 1 repo~1.1k tokens
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  • Snowflake Development

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Works with

Categories

Questions about Snowflake Development

What does Snowflake Development do?

This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot…. Snowflake Development is an agent skill from borghei/Claude-Skills. This skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot Snowflake cost issues".

When should I use Snowflake Development?

Snowflake Development fits situations like: asks to optimize Snowflake queries; analyze Snowflake SQL performance; size Snowflake warehouses; review Snowflake data models.

How do I install Snowflake Development in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill snowflake-development -a claude-code`. Or copy the skill folder (engineering/snowflake-development in borghei/Claude-Skills) into .claude/skills/snowflake-development in your project. Claude Code loads it when a task matches its description.

How do I install Snowflake Development in Codex?

Run `npx skills add borghei/Claude-Skills --skill snowflake-development -a codex`. Or copy the skill folder (engineering/snowflake-development in borghei/Claude-Skills) into .agents/skills/snowflake-development in your project. Codex loads it when a task matches its description.

Can I use Snowflake Development 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 borghei/Claude-Skills --skill snowflake-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/snowflake-development, .gemini/skills/snowflake-development, .github/skills/snowflake-development and .opencode/skills/snowflake-development in your project.

What does Snowflake Development need to run?

Going by SKILL.md and its folder, Snowflake Development needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Snowflake Development 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 Snowflake Development 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Snowflake Development use?

Snowflake Development 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 Snowflake Development use?

About 746 tokens (SKILL.md is roughly 3k 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 949 tokens, read only when the agent opens those files.

What are the alternatives to Snowflake Development?

Skills that share tags, products or a category with Snowflake Development: Expensive Snowflake Query Finder (AltimateAI/data-engineering-skills, 128 stars), SQL Queries (w95/awesome-claude-corporate-skills, 237 stars), Optimizing Query By Id (AltimateAI/data-engineering-skills, 128 stars) and Snowflake Semanticview (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Snowflake Development?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.