38,263 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
MCP server Claude CodeCodexCursor +2
An open-source agentic ML ecosystem with a clean Python API, MCP server for AI agents, and a community Hub for sharing algorithms, datasets, and models. Runs locally from the tuiml Python package.
Skill Claude CodeCodex
Use when creating, modifying, or testing AI Agents built with the Inkeep TypeScript SDK (@inkeep/agents-sdk).
Skill Claude Code
Autonomous Agile Project Lifecycle — transforms a raw idea into a deployed project following the AIOX Agentic Agile process. Runs 5 phases autonomously: Discovery (web research), Planning (PRD + Architecture + Frontend Spec), Sharding (stories in waves), Development (build + QA loop), Delivery (deploy + release…
alexsmirnov/obsidian-second-brain-mcp
MCP server Claude CodeCodexCursor +2
Multi-Component Platform System (MCPS) - A framework for managing distributed services and agents. Runs locally from the mcps Python package.
Skill Claude CodeCodex
Generate an optimized AGENTS.md file after analyzing the directory/codebase for context.
Skill Claude CodeCodex
Use mcp2cli to connect to, explore, and execute commands against any MCP (Model Context Protocol) server from the terminal. Covers discovery, tool invocation, resource reading, prompt execution, alias creation, config management, background jobs, authentication, and JSON output pipelines.
Plugin Claude Code
Bundles 9 skills · 953 tokens together
Dev skills I use day to day in agentic engineering, focused on multi-agent-driven work modes and long-horizon autonomous tasks. Includes long-horizon, fan-out, handoff, ctx-research, ctx-grill, to-ctx, just-ask, and the lowband and readout modes.
RonMizrahi/sdlc-graph-engineering
Plugin Claude Code
Bundles 1 skill · 202 tokens together
Installs graph engineering into a project that has none: turns an existing process — skills, a runbook, a CI config, or a description — into a guarded graph with typed nodes, total exit guards, bounded retry loops, a run-state file, a skipped-step ledger, its own auditor, and an executable eval suite. Domain-agnostic.
varadfromeast/codex-agy-bridge
MCP server Claude CodeCodexCursor +2
Run parallel, resumable, human-operable Antigravity CLI sessions from any MCP agent harness. Runs locally from the codex-agy-bridge Python package. Needs 1 environment variable to run.
Skill Claude Code
Use when you (an agent running in a hivemind tile) need to run a MULTI-AGENT workflow — fan a task out to several worker agents in parallel, chain agents into a pipeline, map-reduce over a list, or otherwise orchestrate a fleet of sibling agents on the canvas. Triggers on "fan out", "run N agents", "in parallel"…
MCP server Claude CodeCodexCursor +2
MCP server "codex-chatgpt-bridge" as configured in Dalomeve/codex-chatgpt-bridge. Runs locally from the codex-chatgpt-bridge Python package.
Skill Claude Code
Delegate an approved Claude Code plan to the agy (Antigravity/Gemini) CLI for execution, audit the results cheaply via git status/diff --stat plus a mandated summary report, and iterate w[...].
rcb0727/powerplatform-mcp-server
Plugin Claude Code
Bundles 10 skills, 1 MCP server · 371 tokens together
Power Platform from your AI client: build and debug flows, manage connections, run desktop flows (RPA) and work queues, administer Dataverse, Power Pages, and tenant governance.
buidangminh23/codex-mcp-bridge
MCP server Claude CodeCodexCursor +2
Two-way MCP bridge between Claude and Codex: prompts into a live Codex thread, messages into a running Claude Code session. Runs locally from the @minhspark/codex-mcp-bridge npm package.
CGSOG-JumpStarts/JumpStart-AutoNav
Command Claude Code
This file defines the slash commands that drive the Jump Start workflow. Each command activates a specific agent or system function. These definitions are consumed by the AI assistant integration layer to route commands to the correct agent persona and instructions.
Skill Claude CodeCodex
Individual agents are powerful. But without coordination, they produce.
bugrabilge/bilge-development-kit
Skill Claude CodeCodex
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, AI assistant design, prompt management, LLMOps monitoring, conversational interfaces, and context management.
Plugin Gemini CLI
Connect Gemini CLI to 700+ apps (Gmail, Slack, Stripe, Shopify, HubSpot, Notion, Linear, Salesforce, QuickBooks and more) through One's hosted MCP server. Four tools: list connected integrations, search a platform's actions, read an action's real API documentation, and execute it. OAuth sign-in, nothing to install.
Skill Claude CodeCodex
Report Claude Code usage from Pacer — every rate-limit window, including per-model caps like Fable and each account on the machine — and pace heavy work against them, so hitting a limit during a long autonomous run or a large fan-out of subagents costs a resumable pause rather than the whole run. Use before and during…
Skill Claude CodeCodex needs its repo
PROPOSAL: Add explicit skill chaining to Agent Skills spec. Defines chain metadata field for ordered skill execution with async option for sequential/parallel loading. Use to propose chaining feature to https://agentskills.io.
Plugin Claude Code
Bundles 2 skills · 298 tokens together
Turn a how-to video into a reusable skill for your AI coding agent. Watches the video locally (frames + transcript, no API keys), breaks the procedure down, writes the skill, and proves it works.
Skill Claude CodeCodex needs its repo
Guidance for AI coding agents working on the adeptability (adept) codebase. Humans: see README.md for usage and CONTRIBUTING.md for the contributor workflow.
eranshir/personal-voice-capture
Plugin Claude Code
Bundles 1 skill · 37 tokens together
A meta-skill that learns a person's writing voice from their own samples and iterative edits, then compiles it into a durable, reusable voice skill for future agents.
MCP server Claude CodeCodexCursor +2
The trust and intelligence layer between AI agents and your database. Runs locally from the schemabrain Python package. Needs 1 environment variable to run.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: