Ray Fernando's collection of Skill files for AI coding agents. First up: running-bug-review-board, a real-user QA workflow with a Bug Review Board (BRB) feedback loop.
#ai-agents
MCP servers, skills and plugins tagged "ai-agents" on GitHub.
1,360 entries · real GitHub data
- #782Logic Pro MCP
Local MCP server for stateful, fail-closed Logic Pro control and live project readback.
- #783kru
Local-first MCP password and credential manager for AI agents. Use passwords, API keys, SSH identities, and TOTP without exposing hidden plaintext to the model.
- #784AI Runbooks
This repository provides security operations runbooks and role-based guides for AI-assisted cybersecurity workflows.
- #785Dreamgraph
DreamGraph is a graph-governed conceptual development environment (CDE) that turns plans, architecture decisions, and project knowledge into auditable execution through a…
OKF-powered knowledge context for Claude Code, injects your project's knowledge base at every session
Auto-updated leaderboard of trending claude-skills and AI agent repos, refreshed every 15 minutes
Open-source AI skills for SEO, AI search visibility, conversion copy, marketing strategy, and business operations. Reusable workflows for Claude Code and Codex, plus code…
Durable MCP control plane for long-running Codex Desktop tasks
- #792MCP Armor
MCP Armor continuously secures and monitors Model Context Protocol operations through static and dynamic scans, revealing hidden risks in agent-to-tool communications.
Air traffic control discipline for agent output. Written for a reader with ADHD.
CLI, MCP and Skills for the world's supermarkets. Search, compare, basket and checkout across 9 providers in 6 countries, UK, Netherlands, Belgium, Spain, US, Canada. Built…
- #795Moira
Agent Workflow Engine for AI agents over MCP, per-step directives, completion conditions, and JSON-Schema validation. Self-hostable (Apache-2.0).
- #796Godoc MCP
MCP server that reduces LLM context usage when AI coding agents work with Go, structured documentation instead of source-file dumps.
Proven 2026 Multi-Agent AI Review System, Verdict-Driven Quality Control
- #798Crm.CLI
An open-source, headless CRM built for agents. No UI. No dashboard. Just a CLI and a FUSE-mounted filesystem.
Local-first MCP App for scientific figures. Import, review, and publish a global library on disk; reuse exact templates in Pi, DeepSeek Harness (dsh), Claude, Codex, Cursor…
Connect AI assistants to your ERPNext instance via the Model Context Protocol (MCP) using the official Frappe API.
- #802Canny
Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev advises. Append-only ledger, zero runtime dependencies.
- #803MCP Reticle
Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing…
- #804Skills Janitor
Tinder for your Claude Code skills, subagents and MCP servers. Swipe away what wastes context, scan for prompt injection, get honest token costs. Fixes what it finds and…
Governed, provenance-sealed creative rendering for Databricks, a Streamlit App + Unity Catalog ai_render() function that turns any governed source (Sample Lakehouse, UC…
- #806Houtini Lm
MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.
- #807Faucet
Faucet is an open-source, single-binary server that turns any SQL database into a secure, governed REST API with role-based access control and native MCP support for…
- #808Model Compose
Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision…
- #809Cre Agent Skills
Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude Code, ChatGPT…
- #810Publisher
Publisher is the open-source analytics engine for Malloy. It lets you define data models once, and use them everywhere.