frappe-ops-performance SKILL.md skillA
frappe-ops-performance from impertio-studio/frappe_claude_skill_package is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add impertio-studio/frappe_claude_skill_package/frappe-ops-performance@v2.0Pins v2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- impertio-studio/frappe_claude_skill_package
- Path
skills/source/ops/frappe-ops-performance/SKILL.md- Versions recorded
- 3
- Latest version
- v2.0, committed Mar 30, 2026
- First version recorded
- Mar 20, 2026
- Size
- 11,531 bytes
- Repository stars
- 202
- License
- a license file GitHub does not identify
Use when tuning MariaDB, configuring Redis memory, sizing Gunicorn workers, setting up CDN, or profiling slow queries. Prevents performance bottlenecks from default configurations, memory exhaustion, and unoptimized database queries. Covers MariaDB tuning, Redis configuration, Gunicorn worker sizing, CDN setup, slow query log analysis, Python profiling, request profiling. Keywords: performance, MariaDB, Redis, Gunicorn, CDN, slow query, profiling, tuning, optimization, workers, slow page…
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 Tuning Frappe/ERPNext performance depends on four layers: database (MariaDB), cache (Redis), application server (Gunicorn), and background workers (RQ). ALWAYS tune all four layers together — optimizing one while ignoring others creates new bottlenecks. ## Quick Reference ```bash # Check system health bench doctor # Show pending background jobs bench --site mysite.com show-pending-jobs # Clear all caches bench --site mysite.com clear-cache bench --site mysite.com clear-website-cache # Purge stuck background jobs bench purge-jobs # Enable MariaDB slow query log # In /etc/mysql/mariadb.conf.d/50-server.cnf: # slow_query_log = 1 # slow_query_log_file = /var/log/mysql/slow.log # long_query_time = 1 # Check Gunicorn worker count # In Procfile or supervisor config: -w [workers] # Formula: workers = (2 * CPU_CORES) + 1 ``` --- ## Performance Decision Tree ``` What is slow? | +-- Page loads are slow? | +-- Check Gunicorn workers (are they saturated?) | +-- Check MariaDB slow query log | +-- Check Redis memory (is cache evicting?) | +-- Enable CDN for static assets | +-- Background jobs are delayed? | +-- bench doctor (check worker count and pending jobs) …
Read the whole file at its exact version.
How to install
mdr add impertio-studio/frappe_claude_skill_package/frappe-ops-performance@sha256:760a2892014110e4The line at the top of this page pins the label v2.0, 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.
[](https://markdownregistry.com/a/art_dmf52rddbqnomhv6)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 20, 2026 and Mar 30, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0 latest | 2026-03-30 | d83dc82 | 11,531 B | A | view · diff |
| v2.0 | 2026-03-20 | a90b121 | 11,449 B | A | view · diff |
| v2.0 | 2026-03-20 | bb8f8c3 | 914 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11531 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
impertio-studio/frappe_claude_skill_package · 202 stars · license a license file GitHub does not identify · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dmf52rddbqnomhv6 GET https://markdownregistry.com/api/v1/resolve?ref=impertio-studio/frappe_claude_skill_package/frappe-ops-performance GET https://markdownregistry.com/api/v1/blob/760a2892014110e454af7c741227d72abafeecbc6c6d22d9b26d219103df9a2d
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.