Universal first-hop for any tool-backed request that may execute, inspect, mutate, automate, browse, call, fetch, generate, install, test, run, or create artifacts through CLI, shell, API, adapter, browser, provider, local process, or external tool, with trace, alignment, evidence capture, and future recall. Use for…
Generic example for creating or updating a Codex skill with appropriate resources, metadata, validation, and forward-testing. Use for generic skill creator, create a skill, update a skill, skill creator, skill authoring, SKILL.md, agents/openai.yaml, initskill.py, quickvalidate.py, forward-test a skill, progressive…
Guide construction of MCP servers that expose external services through well-designed, documented, testable tools. Use for mcp-builder, MCP server, Model Context Protocol, build MCP, FastMCP, TypeScript MCP SDK, MCP SDK, MCP tools, MCP evaluations, MCP Inspector, streamable HTTP and stdio transport. Use when the task…
Teaches the agent to use the state-memory-mcp MCP server to track workflow state, tasks, decisions, blockers, artifacts, plans, milestones, and their semantic relationships in a persistent graph database.
Teaches the agent to use the Visual Memory MCP server to cache webpage and application screenshots, matching layout states and avoiding redundant LLM vision calls.
Create, edit, review, animate, and export game-ready low-poly assets in the ashfox web workbench through an AI agent. Use for low-poly modeling, deterministic textures and UVs, rigs, idle or motion animation, GLB, Bedrock, or GeckoLib exports, and Blockbench-free asset production.
Extract and analyze YouTube videos — transcript, metadata, screenshots, comments. Use only when explicitly asked to extract or analyze specific YouTube URL(s) — via /yt-extract or invoked programmatically from another skill via the Skill tool. Do not auto-trigger on incidental YouTube URL mentions or links shared…
Automatically compress large natural text or log files before processing. Trigger when the user pastes massive text blobs, or asks to analyze a large file (logs, docs, transcripts), or provides a prompt that is too large for the context window. DO NOT trigger on source code files or structural data (JSON, XML).
Memory Bank MCP is a Model Context Protocol (MCP) server that provides AI assistants with persistent memory across sessions. It allows storing and retrieving project context, tracking progress, logging architectural decisions, and managing active context through a set of MCP tools.