Optimizes Snowflake query performance using query ID from history.
$ npx skills add AltimateAI/data-engineering-skills --skill optimizing-query-by-id -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AltimateAI/data-engineering-skills optimizing-query-by-id --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/optimizing-query-by-id .claude/skills/optimizing-query-by-id && 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 "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .claude/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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/optimizing-query-by-idType 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 optimizing-query-by-id -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AltimateAI/data-engineering-skills optimizing-query-by-id --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/optimizing-query-by-id .agents/skills/optimizing-query-by-id && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .agents/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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 optimizing-query-by-id -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AltimateAI/data-engineering-skills optimizing-query-by-id --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/optimizing-query-by-id .cursor/skills/optimizing-query-by-id && 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 "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .cursor/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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/optimizing-query-by-id--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 optimizing-query-by-id -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AltimateAI/data-engineering-skills optimizing-query-by-id --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/optimizing-query-by-id .gemini/skills/optimizing-query-by-id && 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 "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .gemini/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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 optimizing-query-by-idInstalls 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 optimizing-query-by-id -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/optimizing-query-by-id .github/skills/optimizing-query-by-id && 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 "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .github/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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 optimizing-query-by-id -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 optimizing-query-by-id --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/optimizing-query-by-id .opencode/skills/optimizing-query-by-id && 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 "optimizing-query-by-id" agent skill from https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/snowflake/optimizing-query-by-id into .opencode/skills/optimizing-query-by-id/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimizing-query-by-id", 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.
optimizing-query-by-idOptimizes Snowflake query performance using query ID from history.
Optimizing Query By Id is an agent skill from AltimateAI/data-engineering-skills. Optimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake queryid (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimized SQL with expected…
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Databases, covering Query optimization, Data warehousing and Data pipelines and ETL. It works with Snowflake and SQL. The repository describes itself as: Skills related to Data Engineering Work for Claude Code. The licence is MIT.
7 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.
Optimizing Query By Id loads about 919 tokens when it runs. Until then it costs about 138 tokens; SKILL.md has 282 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). 282 words, ~919 tokens.
.claude/skills/optimizing-query-by-id/SKILL.md (or your agent's skills folder).Fetch query → Get profile → Apply best practices → Verify improvement → Return optimized query
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,
rows_produced
FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY())
WHERE query_id = '<query_id>';Note the key metrics:
seconds: Total execution timegb_scanned: Data read (lower is better)gb_spilled: Spillage indicates memory pressurepartitions_scanned/total: Partition pruning effectiveness-- Get operator-level statistics
SELECT *
FROM TABLE(GET_QUERY_OPERATOR_STATS('<query_id>'));Look for:
output_rows vs input_rows (explosions)Based on profile, look for:
| Metric | Issue | Fix |
|---|---|---|
| partitions_scanned = partitions_total | No pruning | Add filter on cluster key |
| gb_spilled > 0 | Memory pressure | Simplify query, increase warehouse |
| High bytes_scanned | Full scan | Add selective filters, reduce columns |
| Join explosion | Cartesian or bad key | Fix join condition, filter before join |
Rewrite the query:
EXPLAIN USING JSON
<optimized_query>;Compare original vs optimized:
Provide:
Original Query Metrics:
Issues Found:
Optimized Query:
WITH filtered_events AS (
SELECT event_id, user_id, event_type, created_at
FROM events
WHERE created_at >= '2024-01-01'
AND created_at < '2024-02-01'
AND event_type = 'purchase'
)
SELECT fe.event_id, fe.created_at, u.name
FROM filtered_events fe
JOIN users u ON fe.user_id = u.id;Changes:
Expected Improvement:
© 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/optimizing-query-by-id of AltimateAI/data-engineering-skills.
Open the folder on GitHubat commit 705c68b
Optimizing Query By Id 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 |
|---|---|---|---|---|---|---|
| Optimizing Query By Id this skillAltimateAI/data-engineering-skills | 127 | — | ~919 | 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 | 166 | — | ~4.3k | Automated safety check: Notes | MIT | |
| Snowflake Data EngineeringMindrally/skills | 267 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Analyzing Dataastronomer/agents | 450 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
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…
Mindrally/skills
Best practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe.
astronomer/agents
Queries the data warehouse with SQL and answers business questions about data.
sidequery/sidemantic
Build, validate, and manage semantic models using Sidemantic.
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
Ranks the costliest, slowest or heaviest-scanning Snowflake queries from query history and suggests how to optimize them.
Categories
Optimizes Snowflake query performance using query ID from history. Optimizing Query By Id is an agent skill from AltimateAI/data-engineering-skills. Optimizes Snowflake query performance using query ID from history.
Optimizing Query By Id fits situations like: optimizing Snowflake queries for:; user provides a Snowflake queryid (UUID format) to analyze; task mentions slow query; query profile with a query ID.
Run `npx skills add AltimateAI/data-engineering-skills --skill optimizing-query-by-id -a claude-code`. Or copy the skill folder (skills/snowflake/optimizing-query-by-id in AltimateAI/data-engineering-skills) into .claude/skills/optimizing-query-by-id in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AltimateAI/data-engineering-skills --skill optimizing-query-by-id -a codex`. Or copy the skill folder (skills/snowflake/optimizing-query-by-id in AltimateAI/data-engineering-skills) into .agents/skills/optimizing-query-by-id 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 optimizing-query-by-id -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/optimizing-query-by-id, .gemini/skills/optimizing-query-by-id, .github/skills/optimizing-query-by-id and .opencode/skills/optimizing-query-by-id in your project.
SKILL.md names no scripts, command-line tools or credentials: Optimizing Query By Id 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.
Optimizing Query By Id is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 919 tokens (SKILL.md is roughly 3.7k 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 Optimizing Query By Id: Snowflake Development (sickn33/agentic-awesome-skills, 47k stars), Snowflake Development (alirezarezvani/claude-skills, 28k stars), Uipath Process Mining (UiPath/skills, 166 stars) and Snowflake Data Engineering (Mindrally/skills, 267 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 127 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 1, 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.
