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Welcome and set up a new Claude for Financial Advisors user. Gets to know the advisor's RIA, learns their day-to-day pain points and tech stack, walks them through connecting their tools, explains the plugin and how skills work, runs a live pre-meeting demo, shows them how to customize skills, and closes with a personalized recommendation for which skill to try next. Use when the advisor is getting started or says any of: "onboarding," "/onboarding," "get started," "help me get started," "set up claude for financial advisors," "claude for financial advisors setup," "what can this plugin do," "I'm new to this," "show me around," or is in their first session with the plugin.

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Use this skill when using UV (Python package manager), needs to set up Python virtual environments, install/manage Python CLI tools, migrate from pip/pipx to UV, Python version management, or troubleshoot UV-related issues.

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。

Use before installing dependencies, packages, or tools required for building project.

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。

Implement CLI tools in Python, JS/TS, Bash, or Go following clig.dev standards. Use when writing or reviewing CLI code.

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。

Expert guide for DOKU Model Context Protocol (MCP) Server integration. Enables AI Agentic Commerce with tools for DOKU Checkout, payment links, Virtual Accounts, QRIS, and order status checks / Panduan ahli DOKU MCP Server untuk AI Agentic Commerce.

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。

Used to invoke the PXMeter tool for rigorous quality assessment of biomolecular structure prediction models (e.g., proteins, nucleic acids, small molecules). This skill covers single-sample CIF evaluations and large-scale dataset benchmarks, providing rich result parsing support. Trigger this skill when the user asks to "run PXMeter", "compare PDB/CIF evaluation results of different tools", "check benchmark scores", or asks "how accurate is the structure generated by the model".

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。

Evaluate proposed repository harness changes with pinned Darwin tools and explicit evidence limits.

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。

Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.

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。

Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.

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。

Anti-detection behaviour for Genesis browser automation - what the Camoufox tools already do, what the agent must still do, Cloudflare Turnstile handling, and per-site notes for bot-hostile sites

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Designs and runs reproducible evaluations for AI agents, prompts, tools, skills, and model-backed workflows using realistic datasets, isolated baselines, objective assertions, rubric grading, trajectory analysis, cost/latency tracking, and regression comparison. Use when measuring agent quality, optimizing skill triggering, comparing prompts or models, or gating an AI feature release. Not for ordinary deterministic unit tests.

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Use when optimizing, auditing, or preparing to ship web animations or rendering performance work: frame loops, scroll/viewport reveals, mount/unmount transitions, canvas/WebGL lifecycles, reduced motion, lazy rendering, and deferred off-screen work. Use for jank, per-frame allocations, forced reflows, render loops, animations that do not pause off-screen, content-visibility, requestIdleCallback, analyzing Chrome DevTools performance traces for animation or rendering issues, or choosing between browser-driven CSS/WAAPI, minimal JS, phase, and Motion/GSAP. Use when the user explicitly asks about phase APIs or behavior. Do not use during exploratory animation ideation, prototyping, visual iteration, or trying variants, even when the code already imports phase; wait until the user asks for performance guidance, an audit, production implementation, ship-readiness review, or about phase itself.

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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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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."

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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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Mercado Libre product selection data query and analysis via the Nexscope gateway, covering 24 tools for products, catalog, keywords, categories, trends, sellers, reviews, exchange rates, and plan usage across Mexico, Brazil, Argentina, Chile, and Colombia sites. Triggered by: Mercado Libre, MercadoLibre, product selection, product search, category trends, hot keywords, reverse traffic keywords, seller search, review search, exchange rate, plan usage, Lanjing, Mercado product research.

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。

Execute Cypher queries against AgentDB's graph backend. Use when the user wants to write a custom traversal that the standard tools don't cover, or when explaining graph state.

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。

Automating browsers via Playwright and Chrome DevTools for data collection, form interaction, screenshot capture, and network monitoring. Task completion focus (vs Voyager for E2E testing).

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。

CLI-first serial port debugging and macro automation with serial-mcp-server for Codex and Claude Code. Use when working with UART or USB-serial devices, listing serial ports, probing STM32/Arduino/ESP32 boards, writing or reading serial data, running JSON serial macros, controlling RTS/DTR, or using serial-mcp-server through MCP tools.

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Test interactive CLI/TUI applications using @microsoft/tui-test. Use when you need to test CLI tools with interactive prompts, TUI rendering, arrow key navigation, or any command that requires a TTY. Triggers include "test CLI", "test TUI", "run interactively", "automate terminal input", "simulate user input in terminal".

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。

Create, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.

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Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule.

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Develop TPACK for integrating a specific technology or AI tool into subject teaching with pedagogical alignment. Use when adopting new ed-tech, reviewing AI tools, or planning technology integration.

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。

Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.

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。