alexander-danilenko

agents-md-pro

Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.

alexander-danilenko 13 Updated 3mo ago

Resources

1
GitHub

Install

npx skillscat add alexander-danilenko/ai-skills/agents-md-pro

Install via the SkillsCat registry.

SKILL.md

AGENTS.md Pro

Create token-efficient AGENTS.md files that maximize clarity with minimal tokens.

Core Principles

  1. Token efficiency - Every word justifies its cost
  2. Commands over explanations - Show, don't tell
  3. Reference configs - Point to .eslintrc, never duplicate
  4. Model-agnostic - Universal terminology only
  5. Condensed default - Always minimal output

Input

Required: Project directory path
If missing: Request from user

Workflow Router

Map user request to workflow:

Quick Reference

Output template - Standard repo:

# [Project] | [Tech Stack]
## COMMANDS
- Dev: `cmd` | Build: `cmd` | Test: `cmd` | Lint: `cmd --fix`
## STRUCTURE
- `dir/` - purpose
## PATTERNS
[1-2 key patterns with minimal code]
## CODE STYLE
See `.eslintrc`, `.prettierrc`
## DOMAIN
| Term | Definition |
## SECURITY
[Auth/validation only]
## GIT
Format: `convention`

Line limits:

  • Standard: ≤150 lines
  • Monorepo root: ≤50 lines
  • Sub-project: ≤100 lines

Target tokens:

  • Standard: 500-800
  • Monorepo root: 300-400
  • Sub-project: 400-600

Resources

Load as needed: