Git. Ship. Done - Core

Save tokens. Maximize context, Safely

Minimal kernel to make any AI coding agent stateful. Clone, point your agent, go.

MCP Fusion - The TypeScript framework for secure MCP servers.

An MCP server that provides LLMs access to other LLMs

Real-world AI workflows for creators.

Open-source Agent Skill that scores AI-sounding writing 0–100, edits it with your assistant.

Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

Public registry of code-knowledge graphs for AI agents. Awesome-list 2.0: pointers to schema-validated content, not just links.

LLM agents as your hyperparameter optimizer.

An instruction layer for AI coding agent

Code-quality skills by Max Kanat-Alexander.

Token usage tracker for (not only) OpenCode

The capability harness for AI agents. Skills over SDKs.

SpecStory's official collection of agent skills. Summarize, organize and create with `.specstory/history`

E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.

AI API gateway that ends manual channel switching with smart routing, auto failover, exponential cooldown, multi-URL scheduling, live request monitoring and soft-error detection.

12 executable AI agent skills for competitive strategy analysis, extracted from Michael Porter's Competitive Strategy. Five forces, competitor profiling, strategic groups, market signals, generic strategies, competitive moves, and industry-type playbooks — grounded in Porter's original frameworks.

Workflow orchestration for AI coding agent swarms, from task to merged PR.

Save coding agents' conversations in Git Notes, automatically

Curated collection of agent skills for AI coding assistants.

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and relatable. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.

Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.