Ranks the costliest, slowest or heaviest-scanning Snowflake queries from query history and suggests how to optimize them.
$ npx skills add AltimateAI/data-engineering-skills --skill finding-expensive-queries -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AltimateAI/data-engineering-skills finding-expensive-queries --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/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .claude/skills/finding-expensive-queries && 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 "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .claude/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queriesType 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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AltimateAI/data-engineering-skills finding-expensive-queries --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .agents/skills/finding-expensive-queries && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .agents/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AltimateAI/data-engineering-skills finding-expensive-queries --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .cursor/skills/finding-expensive-queries && 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 "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .cursor/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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/AltimateAI/data-engineering-skills.git --path skills/snowflake/finding-expensive-queries--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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AltimateAI/data-engineering-skills finding-expensive-queries --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .gemini/skills/finding-expensive-queries && 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 "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .gemini/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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 AltimateAI/data-engineering-skills finding-expensive-queriesInstalls 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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .github/skills/finding-expensive-queries && 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 "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .github/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AltimateAI/data-engineering-skills finding-expensive-queries --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AltimateAI/data-engineering-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/snowflake/finding-expensive-queries .opencode/skills/finding-expensive-queries && 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 "finding-expensive-queries" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/finding-expensive-queries into .opencode/skills/finding-expensive-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finding-expensive-queries", 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.
finding-expensive-queriesRanks the costliest, slowest or heaviest-scanning Snowflake queries from query history and suggests how to optimize them.
The agent first asks what to optimize for: the time period, the metric (execution time, bytes scanned, cost or spillage), and whether to look at one warehouse or user or at all of them. It then queries `QUERY_ATTRIBUTION_HISTORY` for credit and cost analysis and `QUERY_HISTORY` for performance stats on specific queries, running the two separately rather than joining them.
Pattern checks look for queries with high compute credits, a repeated `query_hash` that points to a caching opportunity, scans where partitions scanned equals partitions total so nothing was pruned, and high gigabytes spilled under memory pressure. The answer is a ranked list of queries with key metrics, the common patterns, three to five optimization recommendations and specific queries to investigate next. A time range filter is always applied.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 705c68b. 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 sql).
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.
Expensive Snowflake Query Finder loads about 662 tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 122 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 AltimateAI/data-engineering-skills at commit 705c68b, republished under its MIT licence (© AltimateAI). 122 words, ~662 tokens.
.claude/skills/finding-expensive-queries/SKILL.md (or your agent's skills folder).Query history → Rank by metric → Identify patterns → Recommend optimizations
Before querying, clarify:
Use QUERY_ATTRIBUTION_HISTORY for credit/cost analysis:
SELECT
query_id,
warehouse_name,
user_name,
credits_attributed_compute,
start_time,
end_time,
query_tag
FROM SNOWFLAKE.ACCOUNT_USAGE.QUERY_ATTRIBUTION_HISTORY
WHERE start_time >= DATEADD('days', -7, CURRENT_TIMESTAMP())
ORDER BY credits_attributed_compute DESC
LIMIT 20;Use QUERY_HISTORY for detailed performance metrics (run separately, not joined):
SELECT
query_id,
query_text,
total_elapsed_time/1000 as seconds,
bytes_scanned/1e9 as gb_scanned,
bytes_spilled_to_local_storage/1e9 as gb_spilled_local,
bytes_spilled_to_remote_storage/1e9 as gb_spilled_remote,
partitions_scanned,
partitions_total
FROM SNOWFLAKE.ACCOUNT_USAGE.QUERY_HISTORY
WHERE query_id IN ('<query_id_1>', '<query_id_2>', ...)
AND start_time >= DATEADD('days', -7, CURRENT_TIMESTAMP());Look for:
credits_attributed_compute queriesquery_hash repeated (caching opportunity)partitions_scanned = partitions_total (no pruning)gb_spilled (memory pressure)Provide:
-- Time range (required)
WHERE start_time >= DATEADD('days', -7, CURRENT_TIMESTAMP())
-- By warehouse
AND warehouse_name = 'ANALYTICS_WH'
-- By user
AND user_name = 'ETL_USER'
-- Only queries over cost threshold
AND credits_attributed_compute > 0.01
-- Only queries over time threshold
AND total_elapsed_time > 60000 -- over 1 minute© AltimateAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/snowflake/finding-expensive-queries of AltimateAI/data-engineering-skills.
Open the folder on GitHubat commit 705c68b
Expensive Snowflake Query Finder 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 |
|---|---|---|---|---|---|---|
| Expensive Snowflake Query Finder this skillAltimateAI/data-engineering-skills | 128 | — | ~662 | Automated safety check: Pass | MIT | |
| Snowflake Developmentsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Snowflake Developmentalirezarezvani/claude-skills | 28k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Uipath Process MiningUiPath/skills | 168 | — | ~4.3k | Automated safety check: Notes | MIT | |
| Dynamic Tables TutorialKilo-Org/kilo-marketplace | 190 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Pytorch Clickhousepytorch/test-infra | 113 | — | ~2.8k | Automated safety check: Pass | Custom licence |
sickn33/agentic-awesome-skills
Comprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt…
alirezarezvani/claude-skills
A skill your agent uses when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python…
UiPath/skills
UiPath Process Mining via uip pm — build and operate a process app end-to-end from a CSV / event log: templates, data mapping, upload, ingest, the dbt (Snowflake) transformation layer, publish, and…
Kilo-Org/kilo-marketplace
Interactive tutorial that teaches Snowflake Dynamic Tables hands-on.
pytorch/test-infra
Load this FIRST whenever working with PyTorch CI data (any pytorch/ org repo), the torchci/HUD codebase, or the PyTorch HUD ClickHouse database.
google/skills
Analyzes BigQuery slot use, query costs and execution bottlenecks from INFORMATION_SCHEMA to diagnose slow queries, slot contention and unpartitioned scans.
AltimateAI/data-engineering-skills
Delegates dbt and warehouse tasks such as lineage, migrations and cost attribution to the altimate-code CLI agent and relays its answer back.
AltimateAI/data-engineering-skills
Creates or modifies dbt models in line with a project's own conventions, then runs dbt build and dbt show to check the output instead of stopping at compile.
AltimateAI/data-engineering-skills
Walks through fixing dbt compilation, database and test errors: read the full error, check upstream models, apply a fix, then verify with dbt build and a data preview.
AltimateAI/data-engineering-skills
Helps choose an incremental strategy, design a reliable unique_key and debug failing dbt incremental models, and says when a plain table is the better choice.
AltimateAI/data-engineering-skills
Writes model and column descriptions in dbt schema.yml files, matching the project's existing documentation style and recording grain, business rules and caveats.
AltimateAI/data-engineering-skills
Converts legacy SQL to modular dbt models. An agent skill from AltimateAI/data-engineering-skills.
Categories
Ranks the costliest, slowest or heaviest-scanning Snowflake queries from query history and suggests how to optimize them. The agent first asks what to optimize for: the time period, the metric (execution time, bytes scanned, cost or spillage), and whether to look at one warehouse or user or at all of them. It then queries `QUERY_ATTRIBUTION_HISTORY` for credit and cost analysis and `QUERY_HISTORY` for performance stats on specific queries, running the two separately rather than joining them.
Expensive Snowflake Query Finder fits situations like: finding the slowest or costliest queries from the last week; looking for queries that scan the most data or spill to disk; picking optimization candidates when warehouse costs rise.
Run `npx skills add AltimateAI/data-engineering-skills --skill finding-expensive-queries -a claude-code`. Or copy the skill folder (skills/snowflake/finding-expensive-queries in AltimateAI/data-engineering-skills) into .claude/skills/finding-expensive-queries in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AltimateAI/data-engineering-skills --skill finding-expensive-queries -a codex`. Or copy the skill folder (skills/snowflake/finding-expensive-queries in AltimateAI/data-engineering-skills) into .agents/skills/finding-expensive-queries 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 AltimateAI/data-engineering-skills --skill finding-expensive-queries -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finding-expensive-queries, .gemini/skills/finding-expensive-queries, .github/skills/finding-expensive-queries and .opencode/skills/finding-expensive-queries in your project.
SKILL.md names no scripts, command-line tools or credentials: Expensive Snowflake Query Finder is instructions for the agent only. Our summary lists: A Snowflake account with access to `QUERY_HISTORY` and `QUERY_ATTRIBUTION_HISTORY`.
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.
Expensive Snowflake Query Finder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 662 tokens (SKILL.md is roughly 2.6k 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 Expensive Snowflake Query Finder: Snowflake Development (sickn33/agentic-awesome-skills, 47k stars), Snowflake Development (alirezarezvani/claude-skills, 28k stars), Uipath Process Mining (UiPath/skills, 168 stars) and Dynamic Tables Tutorial (Kilo-Org/kilo-marketplace, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AltimateAI (a GitHub organization) maintains it in AltimateAI/data-engineering-skills, which has 128 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 8, 2026.
Source: AltimateAI/data-engineering-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
