performance-optimizer SKILL.md skillA

performance-optimizer from smicolon/ai-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add smicolon/ai-kit/performance-optimizer@git:20260903.50c14ca

Pins git:20260903.50c14ca in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
smicolon/ai-kit
Path
packs/django/skills/performance-optimizer/SKILL.md
Versions recorded
2
Latest version
git:20260903.50c14ca, committed Sep 3, 2026
First version recorded
Feb 15, 2026
Size
12,004 bytes
Repository stars
7
License
MIT

This skill should be used when the user asks to "optimize queries", "fix slow queries", "improve performance", "detect N+1", "add indexes", or when writing Django ORM queries that access related objects. Detects and fixes performance issues.

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

# Performance Optimizer

Auto-detects and fixes Django ORM performance issues before they reach production.

## Activation Triggers

This skill activates when:
- Writing ORM queries
- Accessing related objects (foreign keys, M2M)
- Creating views that fetch data
- Mentioning "slow", "performance", "optimization"
- Looping over querysets
- Creating list/detail views

## Performance Targets

- ✅ NO N+1 queries
- ✅ Appropriate indexes on frequently queried fields
- ✅ Pagination for list endpoints
- ✅ `select_related()` for foreign keys
- ✅ `prefetch_related()` for reverse foreign keys and M2M
- ✅ Caching for expensive operations

## Auto-Detection Patterns

### Pattern 1: N+1 Query Detection

**❌ INEFFICIENT (N+1 query):**
```python
# Bad: 1 query for users + N queries for organizations
users = User.objects.all()  # 1 query
for user in users:  # N queries
    print(user.organization.name)  # Hits DB each time!
```

**✅ OPTIMIZED:**
```python
# Good: 2 queries total (1 for users + 1 JOIN for organizations)
users = User.objects.select_related('organization').all()
for user in users:
    print(user.organization.name)  # No DB hit!
```

### Pattern 2: Reverse Foreign Key N+1
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add smicolon/ai-kit/performance-optimizer@sha256:cceaf0c4f89ac14b

The line at the top of this page pins the label git:20260903.50c14ca, 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

[![mdr](https://markdownregistry.com/badge/art_s526tk7ssv2dmpqb.svg)](https://markdownregistry.com/a/art_s526tk7ssv2dmpqb)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Feb 15, 2026 and Sep 3, 2026, about one every 200 days.

versioncommittedcommitsizeaudit
git:20260903.50c14ca latest2026-09-03 50c14ca 12,004 BA view · diff
git:20260215.92455aa2026-02-15 92455aa 10,821 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 (12004 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

smicolon/ai-kit · 7 stars · license MIT · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s526tk7ssv2dmpqb
GET https://markdownregistry.com/api/v1/resolve?ref=smicolon/ai-kit/performance-optimizer
GET https://markdownregistry.com/api/v1/blob/cceaf0c4f89ac14bd20e72ff14f1bbfa9dee2f93cc995f19421ce5c7881a66cb

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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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