Open-source skills for designing and reviewing software with AI agents
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Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
The foundation layer for agentic intelligence.
MCP-NixOS - Model Context Protocol Server for NixOS resources
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
🐍 CLI tool to find and delete unused Python virtual environments (.venv, poetry, conda, pipenv, uv). Reclaim disk space effortlessly — supports bulk delete, size reporting, and pycache cleanup.
Run your coding agents from Telegram. A bridge for Claude Code, Codex, OpenCode, Pi and Antigravity CLI: send tasks by text or voice, watch them work and approve changes from your phone.
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Turn any Java, Kotlin or Python project into an AI-ready context file in one command.