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概要と使いどころ
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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Run an always-on Telegram watch loop under a separate assistant account using MCP push tools. Mode 1 answers when the assistant account is mentioned in team chats, with actionable vault-grounded advice; mode 2 ambiently watches designated chats and pings on salient events. Triggers: "/telegram-watch", "start the telegram watch".
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Operating manual for Telegram over its MCP connector and roughly 115 tools: how to find a chat by title, the tool inventory grouped by job, resolving chat ids, auto-transcribing voice notes, and the connector gotchas (pinned-first ordering, big-page crashes, reload after reconnect, untrusted fields, always passing an explicit account). Load before any non-trivial Telegram work.
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Finds high-value SEO and GEO keywords using web search, AI analysis, and optionally paid tools like Ahrefs or Semrush. Produces a validated keywords.csv file with a fixed schema for downstream pipeline consumption.
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Build a dossier on a person: recall everything the vault already knows, map their public profiles by web research, emit a deep-research prompt for external tools, and persist a well-linked person card. Triggers: "/portret <name>", "dossier on <name>", "profile <name>".
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Decision protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".
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Senior engineer CLI expertise for AI agents — workflows, safety guardrails, gotchas, and anti-patterns across cloud, IaC, containers, databases, dev tools, and platforms
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Route a task through SIPS commands, agents, scripts, MCP tools, or bounded delegation. Use when asked to route, split, fan out, escalate, or choose the right SIPS path.
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Read and modify MIKE+ model parameters via the mike-plus MCP server — inspect or change values in any model table (pipe Diameter/Manning in msm_Link, node levels in msm_Node, catchment properties in msm_Catchment, etc.). Use when an agent must identify a current parameter and change it before re-running. Requires MIKE+ + license; mutating tools must run on a copy.
日本語の概要は準備中です。原文の説明を表示しています。
Operational guide for the ArtCraft MCP integration — the community Python rebuild (C:\Users\rasta\artcraft-mcp-py\artcraft_mcp_server.py) that replaces the broken upstream artcraft-mcp.exe, the live api.storyteller.ai/v1 API map (required headers, cookie auth, endpoint schemas), the upstream bug/PR trail (issues #1/#3, PR #2), the reverse-engineering playbook (browser capture, cookie injection, schema fishing via validation errors, handshake replay, Windows MITM kit), and the generic MCP-protocol debugging playbook (snake_case servers, the shim pattern, 'missing field protocolVersion' diagnosis). Use when working on ArtCraft MCP tools, debugging an artcraft server connection, extending the Python rebuild, or diagnosing any third-party MCP handshake failure.
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**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
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Use when building AI-powered features with CopilotKit v2 -- adding chat interfaces, registering frontend tools, sharing application context with agents, handling agent interrupts, and working with the CopilotKit runtime.
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Provision a client-brand AI assistant in the NV oOS Pro Toolkit — brand intake, system-prompt authoring, tool selection, an idempotent provisioning script, credentials, and end-to-end verification. Use when creating a brand manager or social media assistant for a client brand (e.g. Aerlinn), onboarding a new brand into the Design Stack, replicating an existing brand assistant, or updating a brand assistant's prompt, tools, or campaign copy.
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Operational guide for the NV oOS assistant export/import track — the canonical nvoos-assistant bundle format (v1), the shared portability engine, its five surfaces (WP-CLI, REST, admin UI, AI tools, backup provider), the Pro blueprint exporter, credential-redaction rules, legacy/blueprint import compatibility, test conventions, and the Content Graph port checklist. Use when extending or debugging assistant export/import, adding a surface, changing the bundle schema, fixing round-trip fidelity, or continuing the portability track ("continue the portability plan", "add assistant export to X").
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Research, draft, and publish WordPress content — blog posts, product copy, SEO metadata, and media with accessible alt text — using NV oOS research and content tools.
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Register WordPress Abilities: machine-readable plugin operations with JSON Schema contracts, required permission callbacks, optional REST exposure, and AI/MCP-friendly discovery. Covers categories, wp_register_ability, WP_Ability::execute, REST run endpoints, meta.show_in_rest, annotations, and Ability vs REST route vs custom hook decisions. Use when exposing plugin functionality to agents, admin JS, external tools, or reviewing AI integration code.
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Operating NV oOS WordPress sites through scoped MCP operator credentials — tool groups, task recipes, and site disambiguation. Use when working with NV oOS tools (create_post, woo_products, toolkit_cpt, paper_store, jetengine) on any managed site.
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Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
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Generate images using AI models — Gemini, DALL·E, Stable Diffusion, Midjourney, Flux, Leonardo, Ideogram, and more. MCP bridge tools are primary; the Design Stack media worker is the fallback for advanced providers. Covers prompt engineering, model selection, size/aspect ratios, style parameters, batch generation, multi-site awareness, and WordPress integration. Use when you need to create hero images, social graphics, product mockups, brand illustrations, or any visual asset for marketing, social media, or e-commerce.
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Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
日本語の概要は準備中です。原文の説明を表示しています。
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
日本語の概要は準備中です。原文の説明を表示しています。
Research products via AI tools, cross-reference live stock, generate WooCommerce-ready copy, and extract marketing angles. Covers the full research-to-copy pipeline with remote_wp_connection stock checks and paper_store persistence. Use when researching products by SKU/name/category, generating WooCommerce descriptions, preparing product data for campaigns, or cross-referencing catalog files against live inventory.
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Manage AI assistant configurations and peer-to-peer mesh network connections in the NV oOS Pro Toolkit. Covers assistant creation, model configuration, provider setup, peer discovery, mesh networking, cross-assistant communication, and detecting from a coding-agent session (Zed) which NV oOS assistants / MCP servers are enabled. Use when creating or editing AI assistants, configuring model providers, setting up peer connections, managing mesh network topology, debugging assistant behavior, or answering "is agent X available" / "what tools does this MCP have".
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Manage NV oOS Pro Schedules — create, update, delete, list, dry-run, view run history, and plan schedules from workflows. Covers all 7 Pro Schedule Manager MCP tools with usage patterns, cross-references, and operational troubleshooting. Use when creating recurring tasks, debugging schedule failures, pausing vs deleting schedules, converting Action Scheduler jobs to managed schedules, or bridging workflow outputs to timed execution.
日本語の概要は準備中です。原文の説明を表示しています。