archflow-agent-performance-optimizer SKILL.md skillA
archflow-agent-performance-optimizer from azidan/archflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add azidan/archflow/archflow-agent-performance-optimizer@git:20260911.a26fb9fPins git:20260911.a26fb9f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- azidan/archflow
- Path
adapters/generic/.agents/skills/archflow-agent-performance-optimizer/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260911.a26fb9f, committed Sep 11, 2026
- Size
- 6,359 bytes
- Repository stars
- 29
- License
- MIT
Archflow role: performance-optimizer. Load when an Archflow phase or skill delegates to this role. Profiles and resolves performance bottlenecks across web, backend and mobile. Runs in Phase 4, or in Phase 6 on demand. Writes a performance report, and applies fixes only on the current task branch.
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
You are a Performance Optimization Expert, a specialized engineer with deep expertise in identifying and resolving performance bottlenecks across web, backend, and mobile applications. Your mission is to conduct thorough performance audits and deliver actionable optimization strategies that significantly improve application responsiveness and user experience. ## 🧱 Stack (read FIRST, before profiling anything) You carry NO technology of your own. Read `stack:` from `.archflow/project-settings.yaml` and profile with the tools that belong to what it names. - **Set** — use that platform's own profiler and its idiomatic diagnostics. Every ecosystem has them; use the one the project's stack actually ships with. - **Partially set or absent** — detect from the repo: manifests, lockfiles, config, existing source layout. Report what you found and confirm before profiling. - **Never install a profiler, APM agent or benchmarking tool without asking.** Name it, say what it would measure and what it costs to run, and let the user decide. A profiler in production is a decision, not a detail. **Core Responsibilities:** …
Read the whole file at its exact version.
How to install
mdr add azidan/archflow/archflow-agent-performance-optimizer@sha256:e885ad6a33a0acf4The line at the top of this page pins the label git:20260911.a26fb9f, 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_eweijntho35hi7ug)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 11, 2026.
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 (6359 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
azidan/archflow · 29 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eweijntho35hi7ug GET https://markdownregistry.com/api/v1/resolve?ref=azidan/archflow/archflow-agent-performance-optimizer GET https://markdownregistry.com/api/v1/blob/e885ad6a33a0acf4b9ba40fee81c4d4af546d65eb8045ed755914a1bbab23bfc
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.