All nine kinds in one list: what an agent loads, what it runs, what it
reads and what bundles the rest. 437,679 of
them, each with its token cost per session, a security scan with the
line that triggered it, and whether it is the original or one of the
copies.
Operate the MMR algorithmic trading platform on Interactive Brokers. Trade stocks and options, manage portfolios, scan for ideas, create trade proposals with auto position sizing, manage universes, download historical data, analyze options chains, and control strategies. All operations are available via async Python…
Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
Plan, implement, and review a task end-to-end — staged plans implemented one stage at a time by fresh agents, review-code + ReviewHog in parallel, every review addressed, the fix commits reviewed again, PR marked ready, CI watched to green, stamphog asked to approve when its approval alone can unblock the merge, open…
Neo4j MCP server for integrating Neo4j graph database with Claude Desktop through natural language interactions. Runs locally from the @alanse/mcp-neo4j-server npm package. Needs 3 environment variables to run.
Create a complete feature artifact scaffold — PRD slice, technical spec, and task breakdown. Use when starting work on any new feature, user story, or capability. Triggers on phrases like 'new feature', 'create a PRD for', 'start work on', 'scaffold a feature'.
Delegate tasks to Codex CLI for prototyping, debugging, code review, implementation handoff, cross-model second opinions, and multi-turn Codex sessions via SESSIONID.
Generate and edit images from the CLI using picture-it. Use this skill whenever the user asks to create, edit, or manipulate images — blog headers, social cards, hero images, product comparisons, YouTube thumbnails, movie posters, magazine covers, Instagram edits, background removal, or any visual content. Also…
Use when an agent needs Dreamina(即梦) generation, task querying, account checks, or login/session operations through the packaged Python wrapper scripts around the dreamina CLI.
Interact with third-party or self-hosted services (Slack, Google Workspace, Dropbox, GitHub, Linear, Coolify...) using their HTTP APIs on the user's behalf.
Work from the same local memory as every other coding agent on this machine. Recall prior decisions, preferences, instructions, and project conventions that Claude Code, Codex, Cursor, and other agents wrote here, with cited sources, fully local. Also searches a separate local technical-documentation index.
A thinking and writing guide based on Nassim Nicholas Taleb’s published ideas about uncertainty, extreme risks, and decisions. It uses concepts such as “black swans,” rare events with major consequences, and “skin in the game,” meaning that decision-makers share the risks of their advice.
Orchestrate multiple AI coding agents (Claude Code, Codex, Aider) from a single config — launch teams, run workflows, track capacity, and manage handoffs.
Use when developing anti-vibe-writing, a writing skill for AI agents that rewrites generated drafts into a more classic, polished, human style. Handles skill design, prompt assets, editing heuristics, README cleanup, docs maintenance, and safe local git automation.
A prompt-writing skill for creating Xiaohongshu covers, the vertical promotional images used on the Chinese social platform Xiaohongshu. It targets content about AI tools, productivity, reviews, tutorials, podcasts, and work advice.
A command-line toolkit for WeCom, a Chinese business platform used for contacts, documents, tables, calendars, meetings, messages, files, and related work. It includes rules for choosing the right business area and checking access before use.
Open-source supermarket infrastructure across 13 provider integrations in 9 countries. Search live catalogues and prices, compare retailers, build baskets, inspect slots and orders, and preview checkout through CLI, HTTP, MCP or agent skills.
Use early in an AI-agent project — before ship, before real traffic — to decide which evaluations to set up and to scaffold a starter experiment. Reads the agent's own code (system prompt, tools, task), recommends specific evaluators with reasons that cite real lines, and writes a labeled draft test suite as an Agent…
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: