Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
Rails Engine with MCP compliant Spec.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
Goal-based planning and proof gate for AI coding agents
Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors
Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Curated Claude Fable 5 use cases, tutorials, integrations, demos, and benchmark evidence with source links and multilingual README files.
AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, and Google Antigravity
166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer success, procurement & document processing
Metis is a coding agent that boosts AI/LLM coding performance by 50%
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one setup script.
Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.
Stop your coding agent from stalling real work on self-invented bookkeeping - receipts, hashes, locks, certification rituals. Ship first, then verify. Skill for Claude Code, Codex, and other agents.
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs