application-performance-performance-optimization SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
application-performance-performance-optimization from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/application-performance-performance-optimization@git:20260906.7d37dc9Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/application-performance-performance-optimization/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260906.7d37dc9, committed Sep 6, 2026
- First version recorded
- Jul 7, 2026
- Size
- 11,638 bytes
- Repository stars
- 87
- License
- MIT
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
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 application performance end-to-end using specialized performance and optimization agents: [Extended thinking: This workflow orchestrates a comprehensive performance optimization process across the entire application stack. Starting with deep profiling and baseline establishment, the workflow progresses through targeted optimizations in each system layer, validates improvements through load testing, and establishes continuous monitoring for sustained performance. Each phase builds on insights from previous phases, creating a data-driven optimization strategy that addresses real bottlenecks rather than theoretical improvements. The workflow emphasizes modern observability practices, user-centric performance metrics, and cost-effective optimization strategies.] ## Use this skill when - Coordinating performance optimization across backend, frontend, and infrastructure - Establishing baselines and profiling to identify bottlenecks - Designing load tests, performance budgets, or capacity plans - Building observability for performance and reliability targets ## Do not use this skill when - The task is a small localized fix with no broader performance goals …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/application-performance-performance-optimization@sha256:4d55000f25adf9b4The line at the top of this page pins the label git:20260906.7d37dc9, 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_fo7mese3t2ntiqcs)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 7, 2026 and Sep 6, 2026, about one every 30 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260906.7d37dc9 latest | 2026-09-06 | 7d37dc9 | 11,638 B | A | view · diff |
| git:20260730.90257ed | 2026-07-30 | 90257ed | 11,522 B | A | view · diff |
| git:20260707.168343c | 2026-07-07 | 168343c | 11,521 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 (11638 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fo7mese3t2ntiqcs GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/application-performance-performance-optimization GET https://markdownregistry.com/api/v1/blob/4d55000f25adf9b44312b6d4b6fbc2e9099e061ff769271cab1d53336e237a64
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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