The environment engine for agent worktrees - zero-config dep sync + port/DB/compose isolation

A SKILL.md for ipsw

CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.

The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

AI said it finished. Flyto2 shows the proof.

A memory plugin for AI coding that turns engineering experience, repository knowledge, and your way of working into memory that remains useful in future tasks.

Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory

Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.

A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches. Local alternative to SERP APIs with MCP server integration.

94 specialist Blender skills for Cursor, Claude Code, Kiro & Codex -> MCP-powered production pipeline from blockout to engine export.

Professional cloud sync & VFS for Obsidian. Features zero-space VFS, 4K streaming, MCP AI engine, and P2P collaboration. Supports Baidu/Aliyun/Quark/WebDAV/S3.

Comet: agent skill harness for turning ideas into evaluated workflows

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.

Portable Agent Skill for repository-native Spec programming, informed by public DeepSeek Harness engineering patterns.

Agent skills for solving CTF challenges - web exploitation, binary pwn, crypto, reverse engineering, forensics, OSINT, and more

A memory layer for AI Agents

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer, local-first, a structured alternative to RAG.

A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. Started from Anthropic's Claude Code engineering patterns, extended with a per-project self-improvement loop and more.

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.