Vibes
Transforms Claude Desktop into a conversational development environment using distributed MCP servers.
vibes
A multi-platform skill and agent framework for AI coding assistants.
What is vibes?
Vibes provides a shared set of skills, agents, and reference documentation for AI coding assistants. Write your agent instructions once in AGENTS.md, and every supported platform — Claude Code, GitHub Copilot, Codex CLI — gets the same guidance through symlinks and platform-specific configuration.
Skills teach agents how to perform specific tasks (fetch library docs, manage GitHub PRs, review code). Agents define roles with scoped tools and system prompts. MCP servers provide live documentation so agents work from current APIs instead of stale training data.
Quick Start
git clone https://github.com/jonhill90/vibes.git
cd vibes
Open the repo in your editor. The platform reads its instruction file automatically — no build step, no install.
MCP Servers
Three MCP servers provide live documentation. They are pre-configured in .mcp.json (Claude Code), .vscode/mcp.json (VS Code), and .codex/config.toml (Codex CLI). No API keys required.
| Server | Purpose |
|---|---|
| context7 | Library and framework docs (npm, PyPI, crates, etc.) |
| microsoft-learn | Azure, .NET, M365, and Microsoft docs |
| deepwiki | GitHub repository wikis and documentation |
Platform Setup
| Platform | Instruction File | MCP Config |
|---|---|---|
| Claude Code | CLAUDE.md (symlink → AGENTS.md) | .mcp.json |
| GitHub Copilot | .github/copilot-instructions.md (symlink → AGENTS.md) | .vscode/mcp.json |
| Codex CLI | AGENTS.md (read natively) | .codex/config.toml |
For Codex skill discovery, this repo exposes .agents/skills (symlink → .github/skills).
Skills
Skills are invocable instruction sets that teach an agent how to perform a specific task. Each lives in .github/skills/<name>/SKILL.md.
Documentation
| Skill | Trigger | Description |
|---|---|---|
primer | /primer | Orient in any codebase — structure, docs, key files, current state |
context7 | /context7 | Fetch live library/framework docs via MCP (Python, Bash, PowerShell variants) |
ms-learn | /ms-learn | Query official Microsoft docs for Azure, .NET, M365 |
Platform Integration
| Skill | Trigger | Description |
|---|---|---|
gh-cli | /gh-cli | Manage GitHub via CLI — PRs, issues, workflows, releases |
az-devops | /az-devops | Manage Azure DevOps — repos, pipelines, boards, work items |
linear | /linear | Manage Linear via CLI — issues, teams, projects, Git workflow |
tmux | /tmux | Run persistent interactive CLI sessions via tmux for agent tooling and REPLs |
obsidian | /obsidian | Read, write, search, and manage Obsidian vault notes |
youtube-transcript | /youtube-transcript | Fetch YouTube video transcripts and metadata |
Authoring & Validation
| Skill | Trigger | Description |
|---|---|---|
create-skill | /create-skill | Guide for creating new skills with scripts and references |
validate-skill | /validate-skill | Validate a SKILL.md against the spec |
lint-agents | /lint-agents | Check agent definition files for correct YAML frontmatter |
Agents
Agents are specialized roles with scoped tools and a system prompt. Defined in .github/agents/<name>.md.
| Agent | Purpose | Tools |
|---|---|---|
code-reviewer | Code quality and security review after changes | Read, Grep, Glob, Bash |
researcher | Codebase investigation and pattern analysis | Read, Grep, Glob |
Architecture
graph TD
AGENTS["AGENTS.md<br/><i>Single source of truth</i>"]
AGENTS -->|symlink| CLAUDE["CLAUDE.md<br/>Claude Code"]
AGENTS -->|symlink| COPILOT[".github/copilot-instructions.md<br/>GitHub Copilot"]
AGENTS -->|reads natively| CODEX["Codex CLI"]
GH[".github/<br/>skills/ agents/ docs/ instructions/"]
GH -->|symlink| CLAUDE_DIR[".claude/<br/>skills/ agents/ hooks/ references/ rules/"]
GH -->|symlink| CODEX_DIR[".codex/<br/>agents/ config.toml"]
GH -->|symlink| AGENTS_DIR[".agents/<br/>skills/"]
MCP["MCP Servers<br/>context7 · microsoft-learn · deepwiki"]
MCP -.->|live docs| CLAUDE
MCP -.->|live docs| COPILOT
MCP -.->|live docs| CODEX
Key decisions:
.github/is the single source. Platform directories (.claude/,.codex/,.agents/) contain symlinks and platform-specific config/policy.- One instruction file for all platforms.
AGENTS.mdis symlinked so every tool reads the same guidance. - Progressive disclosure. Skill metadata (name + description) is always in context. The SKILL.md body loads on trigger. Reference files load on demand.
- Codex uses native surfaces. Skills are discovered via
.agents/skills/; runtime policy/config lives under.codex/(config.toml,rules/*.rules). - Platform-specific rules stay separate.
.claude/rules/and.github/instructions/use their own formats rather than a forced shared one. - This repo's hooks always exit 0. The three scripts in
.claude/hooks/use non-blocking warnings (systemMessage) rather than exit 2 blocking. Frontmatter and symlink checks warn Claude after edits; transcript backup runs silently on compaction.
Reference Documentation
Platform-agnostic docs live in .github/docs/ and are symlinked into .claude/references/.
| Document | Path | Topic |
|---|---|---|
| Best Practices | .github/docs/best-practices.md | Operational patterns for agent development |
| Context Engineering | .github/docs/context-engineering.md | Token budget management, progressive disclosure |
| TDD Workflow | .github/docs/tdd-workflow.md | Red-Green-Refactor process for agents |
Workflow
Explore → Plan → Red → Green → Refactor → Commit
- Explore — Run
/primerto orient, then dig deeper as needed - Plan — Surface tradeoffs and get alignment
- Red — Write failing tests that define success
- Green — Write minimum code to pass
- Refactor — Clean up while tests stay green
- Commit — Clean, descriptive messages
For non-code changes (docs, config), skip Red/Green/Refactor and go from Plan to Commit. See AGENTS.md for the full instruction set.
Adding Skills and Agents
New skill:
mkdir -p .github/skills/my-skill
# Create SKILL.md with name + description frontmatter
# Validate: /validate-skill .github/skills/my-skill
New agent:
# Create .github/agents/my-agent.md
# YAML frontmatter (name, description, tools) + markdown system prompt
# Validate: /lint-agents
See /create-skill for the full skill authoring guide and AGENTS.md for naming conventions.
Further Reading
AGENTS.md— Full instruction set, conventions, principles, and checklist.claude/references/skills-guide.md— Skill authoring reference (frontmatter options, progressive disclosure).claude/references/subagents-guide.md— Agent configuration and delegation patterns.github/docs/context-engineering.md— Token budget management and context architecture
संबंधित सर्वर
Scout Monitoring MCP
प्रायोजकPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
प्रायोजकAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Crypto HFT MCP Server
Integrate AI with high-frequency cryptocurrency trading systems.
Baidu iRAG MCP Server
Generate images using Baidu's iRAG API through a standardized MCP interface.
YAPI MCP Server
An MCP server for accessing YAPI interface details, configured via environment variables.
Taeks MCP Server
An example MCP server designed for deployment on Cloudflare Workers, operating without authentication.
SeedDream 3.0 Replicate
Generate images using Bytedance's SeedDream 3.0 model via the Replicate platform.
Srclight
Deep code indexing for AI agents — 25 MCP tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages. Fully local, zero cloud dependencies.
Context7 Python
A Python server for searching libraries and retrieving documentation, with support for HTTP/HTTPS proxies.
Remote MCP Server (Authless)
An example of a remote MCP server without authentication, deployable on Cloudflare Workers.
BlenderMCP
Connects Blender to AI models via MCP for prompt-assisted 3D modeling, scene creation, and manipulation.
Clelp MCP Server
Discover and rate 1,700+ MCP servers and AI agent skills with community ratings from real usage.