agentleFS
Sign inStart free
TheElephantCoderTheElephantCoder/agent-harness/skills/performance/SKILL.md

performance

Skill3 starsChanged 53 days agoMITView on GitHub

Keep sessions fast and cheap. Always on.

78 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use app-brief, design-from-app and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • StijnusSkill

    app-brief

    One-page brief (docs/BRIEF.md) for a new macOS app, written before any code. Use when the user has an app idea, wants to replace an app they pay for, or the research and clone skills are done.

    Also in 3 projects that use this

  • StijnusSkill

    design-from-app

    Rebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".

    Also in 3 projects that use this

  • FlorianBruniauxSkill

    tdd-rust

    Also in 3 projects that use this

  • RodrigoTomeESSkill

    web-quality-audit

    Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".

    Also in 9 projects that use this

  • launchapp-devSkill

    layout-grid

    Define responsive layout grid systems with columns, gutters, margins, and breakpoint behavior.

    Also in 3 projects that use this

  • MohamedAbdallah-14Skill

    app-icon

    Generate an app icon from a single 1024² master and fan out to iOS (AppIcon.appiconset with squircle-ready 1024 opaque), Android (adaptive foreground + background + Android 13 monochrome), PWA (192/512 + 512 maskable with 80% safe zone), and visionOS (3-layer parallax).

    Also in 3 projects that use this

  • +1 more from Stijnus

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 52 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Batch things: If you need to read 3 files, read them in the same turn.

    line 21
  2. Distinctive:

    Grep first, read second: Never read a big unknown file just to see what's in it.

    line 23
  3. Very specific:

    Measure: Run harness bench --quick before and after you try to optimize.

    line 29

“Common” is measured: kept by at least 6 in 10 of the 52 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Performance

Make it fast, keep tokens low.

How

Batch things. If you need to read 3 files, read them in the same turn. Same for greps. Don't do git status then git diff in two separate calls.

Grep first, read second. Never read a big unknown file just to see what's in it. Grep, then read the exact spot.

Don't load everything. MEMORY summary first, details on demand. Skills load when triggered, not at boot. That's what memory/tiers is for.

Keep context small. Summarize long logs instead of pasting 500 lines. Keep MEMORY.md under 2k. Prefer surgical edit over rewriting a whole file.

Measure. Run harness bench --quick before and after you try to optimize. Track cold start, tokens, tool calls, hook time.

Targets I try to hold:

  • cold start <15s
  • tokens per task <50k avg
  • tool calls per task <60
  • hook p99 <100ms

Check

harness bench --task cold-start --harness opencode
harness bench --compare main

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free