Agent skill · Code Review & Quality

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agents-md-pro-alexander-danilenko-cortex-ai-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/agent/agents-md-pro-alexander-danilenko-cortex-ai-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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: - Create → [workflows.md](references/workflows.md#create-workflow) - Optimize/condense → [workflows.md](references/workflows.md#optimize-workflow) - Update/refresh → [workflows.md](references/workflows.md#update-workflow) - Validate → [workflows.md](references/workflows.md#validate-workflow) ## Quick Reference **Output template** - Standard repo: ```markdown # [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: `conventio

What's inside
Steps it walks through
  1. Core Principles
  2. Input
  3. Workflow Router
  4. Quick Reference
  5. Resources
Ships with 1 file
  • metadata.json
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About this skill
What does the agents-md-pro skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agents-md-pro-alexander-danilenko-cortex-ai-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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