aiready-best-practices
Guidelines for writing AI-friendly code. Detects semantic duplicates, context fragmentation, naming inconsistencies. Use when writing new code, reviewing PRs, refactoring for AI adoption, or debugging AI assistant confusion. Helps minimize context waste and improve AI comprehension.
Full skill instructions
Guidelines for writing code that AI coding assistants can understand and maintain effectively. Based on analysis of thousands of repositories and common AI model failure patterns.
Reference these guidelines when:
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Pattern Detection | CRITICAL | patterns- |
| 2 | Context Optimization | HIGH | context- |
| 3 | Consistency Checking | MEDIUM | consistency- |
| 4 | Documentation | MEDIUM | docs- |
| 5 | Dependencies | LOW | deps- |
patterns-semantic-duplicates - Consolidate duplicate implementationspatterns-consistent-naming - Use consistent names for similar conceptspatterns-interface-fragmentation - Unify similar interfacescontext-import-depth - Keep import chains shallow (max 3 levels)context-cohesion - Group related functionality togethercontext-file-size - Split oversized filesconsistency-naming-conventions - Follow project-wide naming patternsconsistency-error-handling - Use consistent error patternsconsistency-api-design - Maintain consistent API shapesdocs-code-sync - Keep docs in sync with code changesdocs-ai-context - Document non-obvious AI context needsdeps-circular - Avoid circular dependenciesdeps-freshness - Keep dependencies up to dateRead individual rule files for detailed explanations and code examples:
rules/patterns-semantic-duplicates.md
rules/context-import-depth.md
rules/consistency-naming-conventions.md
Each rule file contains:
For the complete guide with all rules expanded: AGENTS.md
This skill is designed for efficient context usage:
These guidelines complement the AIReady CLI tools:
Learn more: https://getaiready.dev
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