Provides an installable library of 1,340+ SKILL.md playbooks for AI coding assistants, with an installer CLI, bundles, workflows and plugin-friendly distributions for Claude Code, Cursor, Codex, Gemini CLI and more.
Installs modular Agent Skills for the Stitch MCP server to expose Stitch-powered design and coding capabilities to coding agents. Includes CLI discovery/installation, UI-to-React conversion, design-system synthesis, multi-page site generation, and Remotion video export.
Pre-indexes a project's code into a local semantic knowledge graph that Claude Code can query—fewer tool calls and faster exploration with all data kept on-device. Features FTS5 search, call/impact analysis, auto-sync watcher, and multi-language support.
Terminal-native coding agent that streams reasoning blocks, makes controlled edits to local workspaces behind approval gates, and includes an auto mode that chooses model and thinking level per turn — designed for in-terminal code review, debugging, and automation workflows.
A curated, security-first registry of verified, tested skills you can install into AI coding agents. Each skill is human-curated, scanned (Snyk/static analysis), and integrity-locked; delivered via a CLI and optional MCP server to multiple agents (Claude Code, Cursor, Copilot, etc.).
Filters and compresses CLI command outputs before they reach an LLM, typically reducing token consumption by 60–90%. Single Rust binary with zero runtime dependencies, supports 100+ dev commands and integrates via a Bash hook into common AI coding tools.
Runs background coding agents in isolated sandboxes to autonomously handle development tasks, create pull requests, and integrate with Slack, GitHub, Linear and webhooks. Supports multiplayer sessions, multiple LLM providers, fast startup via snapshots and prebuilt images; designed for single-tenant deployments.
Improves Claude Code's coding behavior with a single CLAUDE.md that prescribes four practical rules—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—to reduce LLM assumptions, overengineering, and unrelated edits.
Renders Mermaid source synchronously to themeable SVG or ASCII/Unicode art for UIs and terminals. Includes 15 built-in themes, Shiki theme extraction, mono mode and zero-DOM dependencies so diagrams render instantly in React, CLIs, or chat/agent UIs.
Native macOS terminal that surfaces and manages AI coding-agent sessions with vertical tabs, pane-level notification rings, a scriptable in-app browser, and a CLI/socket API — Ghostty-compatible and built in Swift/AppKit for low memory and fast startup.
Self-hosted coding assistant that runs frozen local LLMs with constraint-driven planning, energy-based verification, and self-verified repair to produce verified code. Emphasizes offline inference (no cloud), Docker/bare-metal deployment, and requires a 16GB+ GPU.