optimizing-query-by-id SKILL.md skillA

optimizing-query-by-id from altimateai/data-engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add altimateai/data-engineering-skills/optimizing-query-by-id@git:20260121.476f750

Pins git:20260121.476f750 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
altimateai/data-engineering-skills
Path
skills/snowflake/optimizing-query-by-id/SKILL.md
Versions recorded
1
Latest version
git:20260121.476f750, committed Jan 21, 2026
Size
3,689 bytes
Repository stars
129
License
MIT

Optimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Optimize Query from Query ID

**Fetch query → Get profile → Apply best practices → Verify improvement → Return optimized query**

## Workflow

### 1. Fetch Query Details from Query ID

```sql
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 time
- `gb_scanned`: Data read (lower is better)
- `gb_spilled`: Spillage indicates memory pressure
- `partitions_scanned/total`: Partition pruning effectiveness

### 2. Get Query Profile Details

```sql
-- Get operator-level statistics
SELECT *
FROM TABLE(GET_QUERY_OPERATOR_STATS('<query_id>'));
```

Look for:
- Operators with high `output_rows` vs `input_rows` (explosions)
- TableScan operators with high bytes
- Sort/Aggregate operators with spillage

### 3. Identify Optimization Opportunities

Based on profile, look for:

| Metric | Issue | Fix |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add altimateai/data-engineering-skills/optimizing-query-by-id@sha256:75953e4bb991dea2

The line at the top of this page pins the label git:20260121.476f750, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

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Versions

The registry has recorded 1 version of this file, committed on Jan 21, 2026.

versioncommittedcommitsizeaudit
git:20260121.476f750 latest2026-01-21 476f750 3,689 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3689 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

altimateai/data-engineering-skills · 129 stars · license MIT · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jposwux7law42uck
GET https://markdownregistry.com/api/v1/resolve?ref=altimateai/data-engineering-skills/optimizing-query-by-id
GET https://markdownregistry.com/api/v1/blob/75953e4bb991dea28cf200f8858e9c9adda5c371d825d95d0c586e10e2a8d67a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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