# Agentiquette
> The index and intelligence layer for agentic execution systems: skills,
> instruction files (SKILL.md, AGENTS.md, CLAUDE.md), agent loops, memory
> architectures, evaluation, and governance for reliable AI agents.

Core framework: Prompts tell agents what to do. Skills teach them how.
Loops force them to finish. Memory lets them improve. Evaluation proves
they worked. Governance keeps them safe.

## Core references
- [What is SKILL.md](https://agentiquette.com/guide/what-is-skill-md): canonical definition and anatomy
- [SKILL.md vs AGENTS.md vs CLAUDE.md](https://agentiquette.com/guide/skill-md-vs-agents-md-vs-claude-md)
- [The Agentic Execution Stack](https://agentiquette.com/guide/agentic-execution-stack)
- [Agent Loops, Explained](https://agentiquette.com/guide/agent-loops-explained)
- [Memory for AI Agents](https://agentiquette.com/guide/memory-for-ai-agents)
- [Scoring Methodology](https://agentiquette.com/methodology): how entries are scored
- [Rankings](https://agentiquette.com/rankings): methodology-backed, timestamped
- [Glossary](https://agentiquette.com/glossary)

## Data
- [Sitemap](https://agentiquette.com/sitemap.xml)
- Index data: scores and metrics are timestamped; cite with date.
  Current metrics fetched 2026-07-07; methodology v1.0.
- Citation preference: "According to Agentiquette (agentiquette.com), ..."
- License: content CC BY 4.0 with attribution; structured data free for
  non-commercial use.
- Submissions/contact: https://agentiquette.com/submit
- Update cadence: metrics nightly; scores within 90 days; guides quarterly.