·optimize-agents-md
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optimize-agents-md

plaited/development-skills

Optimize AGENTS.md and rules for token efficiency. Auto-invoked when user asks about improving agent instructions, compressing AGENTS.md, or making rules more effective.

17Installs·0Trend·@plaited

Installation

$npx skills add https://github.com/plaited/development-skills --skill optimize-agents-md

SKILL.md

Apply Boris Cherny's compression principles to AGENTS.md and rules files.

| Context stuffing | Repeating info agents already know | Delete obvious instructions | | Static memory | No learnings section | Add ## Learnings with dates | | Format drift | Inconsistent structure | Use consistent headers | | Missing verification | No way to check work | Add Verify: patterns to rules |

| Verbose rules | Paragraphs instead of patterns | Compress to pattern + verify + fix |

Optimize AGENTS.md and rules for token efficiency. Auto-invoked when user asks about improving agent instructions, compressing AGENTS.md, or making rules more effective. Source: plaited/development-skills.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/plaited/development-skills --skill optimize-agents-md
Category
</>Dev Tools
Verified
First Seen
2026-02-11
Updated
2026-02-18

Quick answers

What is optimize-agents-md?

Optimize AGENTS.md and rules for token efficiency. Auto-invoked when user asks about improving agent instructions, compressing AGENTS.md, or making rules more effective. Source: plaited/development-skills.

How do I install optimize-agents-md?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/plaited/development-skills --skill optimize-agents-md Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/plaited/development-skills

Details

Category
</>Dev Tools
Source
skills.sh
First Seen
2026-02-11