Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.
Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.
Collection of self-contained Codex skills that automate recurring engineering tasks (many Apple-platform focused): release-note generation, iOS debugging, SwiftUI audits, multi-agent review and bug-hunt workflows. Best when integrated into Codex-driven developer tooling.
A Claude Code plugin for long-form serial fiction that keeps characters, timeline, and world rules consistent across hundreds of chapters. Facts are committed to a versioned state store, and review gates flag contradictions before each chapter.
Implements a Manus-style, file-backed planning workflow for AI agents using a three-file Markdown pattern (task_plan.md, findings.md, progress.md) to persist plans, findings and session logs—reducing context drift and enabling session recovery. Adds IDE/CLI hooks to re-read plans and verify completion.
Runs an autonomous agent loop that uses AI coding tools (Amp or Claude Code) to implement PRD user stories iteratively, persisting context via git history, progress.txt and prd.json; designed for small, CI-backed tasks.
Provides a comprehensive, security-first guide and template library for using Claude Code — from core concepts and agentic workflows to production hardening. Includes threat DB (CVE mappings), 219 templates, 271-question quiz, and interactive diagrams.
Teams-first orchestration layer for Claude Code that runs, coordinates, and parallelizes multi-agent workflows from the CLI/tmux. Features team pipelines, skill extraction, provider adapters (Codex/Gemini), and realtime HUD for developer-focused automation.
Turns coding agents into assignable teammates that pick up issues, run on local or cloud runtimes, stream progress, and convert solutions into reusable skills; vendor-neutral, self-hostable platform with a local daemon and multi-workspace board.
Provides a framework to build, evaluate, and run AI SRE agents that investigate and remediate production incidents on your infrastructure. Includes a CLI, synthetic + end-to-end benchmark suites, and 40+ connectors for observability, infra, and LLM providers so teams can train agents and run investigations locally or in cloud.
Automates file management, document creation, and browser workflows on your desktop by running a local Electron agent; you bring API keys or run local models, control folder access, and save repeatable 'skills' for approved, auditable automation.