ai-setup
SkillContinuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
Install
git clone https://github.com/caliber-ai-org/ai-setup.git ~/.claude/skills/ai-setupWhat is ai-setup?
Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
Trust
91/100 · Excellent2 factors scored below maximum
Documentation
README · ~11 min readCaliber
Hand-written CLAUDE.md files go stale the moment you refactor. Your AI agent hallucinates paths that no longer exist, misses new dependencies, and gives advice based on yesterday's architecture. Caliber generates and maintains your AI context files (CLAUDE.md, .cursor/rules/, AGENTS.md, copilot-instructions.md) so they stay accurate as your code evolves — and keeps every agent on your team in sync, whether they use Claude Code, Cursor, Codex, OpenCode, or GitHub Copilot.
Before / After
Most repos start with a hand-written CLAUDE.md and nothing else. Here's what Caliber finds — and fixes:
Before After /setup-caliber
────────────────────────────── ──────────────────────────────
Agent Config Score 35 / 100 Agent Config Score 94 / 100
Grade D Grade A
FILES & SETUP 6 / 25 FILES & SETUP 24 / 25
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →plugin-structure
This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin director
32.8K stars
Agent-Skills-for-Context-Engineering
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
17.5K stars
deploy
Deploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure. Analyzes any codebase and deploys to optimal AWS services.
843 stars
Subagents
All subagents →architecture-critic
Reviews proposed target architectures and transformed code against modern best practice. Adversarial — looks for over-engineering, missed requirements, and simpler alternatives.
32.8K stars
code-architect
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences
32.8K stars
legacy-analyst
Deep-reads legacy codebases (COBOL, Java, .NET, Node, anything) to build structural and behavioral understanding. Use for discovery, dependency mapping, dead-code detection, and "what does this system actually do" questions.
32.8K stars
Plugins
All plugins →feature-dev
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
32.9K stars
code-modernization
Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured preflight / assess / map / extract-rules / brief / reimagine / transform / harden workflow, an interactive topology viewer, and specialist review agents
32.9K stars
clangd-lsp
C/C++ language server (clangd) for code intelligence
32.8K stars
Commands
All commands →feature-dev
Guided feature development with codebase understanding and architecture focus
32.8K stars
modernize-transform
Transform one legacy module to the target stack — idiomatic rewrite with behavior-equivalence tests
32.8K stars
modernize-extract-rules
Mine business logic from legacy code into testable, human-readable rule specifications
32.8K stars
MCP Servers
All mcp servers →dbhub
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
3.3K stars
TinyFish AI Web Agent
AI-powered web automation. Navigate websites using AI agents for one page or a thousand
dev-changes
Turn described changes into reviewed pull requests: propose, triage, review, dependency audits.