Clarc v1.0: Workflow OS for Claude Code with 63 Agents and 249 Skills

What Clarc Does
Clarc is a plugin layer for Claude Code that installs once and provides a collection of specialized agents, skills, and commands. It was forked from everything-claude-code by Affaan Mustafa in January and has grown into a comprehensive workflow system.
Key Features
- 63 specialized subagents that delegate automatically based on task type: code review, TDD, security, architecture, infrastructure, ML, etc.
- 249 skills with domain knowledge loaded on-demand: TypeScript, Python, Go, Java, PostgreSQL, Terraform, DDD, hexagonal architecture, RAG, and more
- 178 slash commands for repeatable workflows including
/plan,/tdd,/finops-audit, and/chaos-experiment - 20 language rule sets with always-on coding standards baked into every session
- Learning loop with
/learn-evalto extract patterns from sessions into persistent instinct files and/evolveto promote them into permanent skills - Multi-editor support: Cursor (96 rule files), OpenCode (65 commands), Codex CLI
Installation and Setup
Install with: npx github:marvinrichter/clarc typescript (or python, go, java, etc.)
The tool clones to ~/.clarc/ and symlinks into ~/.claude/. Updates are handled via git pull.
Current Status
Version 1.0 is available but has rough edges. The learning flywheel is still maturing. The creator notes it's been their daily driver and they'd rather get it in front of people than keep polishing in private.
The creator is seeking feedback on missing stacks, confusing install flow, and whether agent delegation is too noisy or not enough.
📖 Read the full source: r/ClaudeAI
👀 See Also

Agent-Xray: Open-source tool for debugging AI agent failures from trace logs
Agent-Xray is an MIT-licensed open-source tool that analyzes AI agent trace logs to classify failures into categories like spin, tool_bug, and early_abort, and includes an enforcement mode to test fixes against adversarial challenges.

Black LLAB: Open-Source Architecture for Dynamic Model Routing and Docker-Sandboxed AI Agents
A developer has open-sourced Black LLAB, a system that uses Mistral 3B to route prompts between local and cloud models and runs AI agents in isolated Docker containers with OpenClaw integration.
Give Your OpenClaw Agent a Phone: Open Source Plugin for Voice Calls
A developer open-sourced a plugin that lets OpenClaw make phone calls. Unlike $20/mo SaaS alternatives, this is free and self-hosted.

Measuring Claude Code MCP Stack: Cache Friendliness vs. Byte Savings, and a 2-Line Fix for Prompt Cache
Greg Shevchenko benchmarks MCP compressors and retrieval layers on two axes: byte savings and cache friendliness. A 2-line fix (sort rg hits, sort map entries) boosts cache from ~0% to 100% with no byte-savings loss. Open-source harness included.