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48 results for "gmgnai"

gmgn-holder-analysis
Token holder chip analysis — deep analysis of holder structure including chip distribution, entry cost, whale/dev/KOL behavior, risk wallets (rat traders, bundlers, snipers), related wallets, smart money signals, and an AI rating based purely on token structure. Use when user asks about holder analysis, 筹码分析, 持仓分析, chip structure, who is holding, or whether a token is safe to buy based on its holder composition.
gmgnai
gmgn-cooking
[FINANCIAL EXECUTION] Create and launch meme coins and crypto tokens on launchpads (Pump.fun, FourMeme, Bonk, BAGS, Flap, Klik, Clanker, etc.) via bonding curve fair launch, or query token creation stats by launchpad via GMGN API. Requires explicit user confirmation. Use when user asks to create a token, launch a meme coin, cook a coin, deploy on a launchpad, or check launchpad creation stats on Solana, BSC, or Base.
gmgnai
gmgn-market
Get crypto and meme token price charts (K-line, candlestick, OHLCV), trending meme coin rankings by volume, newly launched tokens on launchpads (pump.fun, fourmeme, letsbonk, Raydium, etc.), and the hot-search ranking (most-searched tokens) via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks for price chart, trending tokens, what's pumping, hot coins, most searched tokens, new launches, token signals, or wants to discover early-stage opportunities.
gmgnai
gmgn-token
Research any crypto or meme token by address — real-time price, market cap, liquidity, holder list, trader list, top Smart Money and KOL positions, security audit (honeypot, rug pull risk, dev wallet, renounced status), social links (Twitter/X, website) via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks about a token's price, safety, holders, traders, smart money exposure, or wants due diligence before buying.
gmgnai
gmgn-portfolio
Analyze any crypto wallet by address — holdings, realized/unrealized P&L, win rate, trading history, performance stats, specific token balance, and tokens created by a developer wallet (with ATH market cap and DEX graduation status) via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks about a wallet's holdings, P&L, win rate, what tokens a dev has launched, the highest ATH token a dev ever created, or wants a wallet report to decide whether to copy-trade or follow.
gmgnai
gmgn-swap
[FINANCIAL EXECUTION] Buy and sell meme coins and crypto tokens on Solana, BSC, Base, or Ethereum — single swap, multi-wallet batch trading, limit orders, stop loss, take profit, trailing stop loss, trailing take profit via GMGN API. Requires explicit user confirmation. Use when user asks to buy, sell, or swap a token, trade from multiple wallets, set a limit order, stop loss, take profit, or check order status.
gmgnai
gmgn-track
通过 GMGN API 获取来自聪明钱钱包、KOL 影响者钱包以及个人关注钱包的实时加密货币买卖活动——包括 Alpha 信号、巨鲸追踪、Meme 币跟单思路,支持 Solana、BSC、Base 或 Ethereum。同时可查询某个钱包在 GMGN 上关注(收藏)的代币。当用户询问聪明钱或 KOL 正在买入什么、需要巨鲸提醒、链上 Alpha、跟单信号,或想查看某个钱包的关注代币时使用。(如需查询特定钱包地址的投资组合,请使用 gmgn-portfolio。)
gmgnai
nano-banana-2
使用 RunComfy 上的 Google Nano Banana 2(Gemini 系列闪级文生图模型)生成图像——技能内置了该模型经过验证的提示模式,相比直接使用同一模型进行简单提示,可获得更精准的输出。文档介绍了 Nano Banana 2 的优势(快速迭代、图像内文字渲染、可预测构图、可选的网络上下文)、分辨率等级定价、安全容忍度调节,以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。
doany-ai
gemini-api-dev
在构建使用 Gemini API 托管模型(包括 Gemini 和 Gemma 4)的应用程序、处理多模态内容(文本、图像、音频、视频)、实现函数调用、使用结构化输出或需要当前模型规格时,使用此技能。涵盖 SDK 用法(Python 的 google-genai、JavaScript/TypeScript 的 @google/genai、Java 的 com.google.genai:google-genai、Go 的 google.golang.org/genai)、模型选择和 API 功能。
google-gemini
nano-banana-2
Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.
prime-skills
nano-banana-2
使用 RunComfy 上的 Google Nano Banana 2(Gemini 系列闪级文生图模型)生成图像——技能内置了模型文档中的提示词模式,因此输出比直接使用同一模型更精准。文档介绍了 Nano Banana 2 的优势(快速迭代、图像内文字渲染、可预测构图、可选的网络搜索上下文)、分辨率等级定价、安全容忍度调节,以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。
agentspace-so
nanobanana
Gemini原生Nano Banana图像生成与编辑,支持Nano Banana、Nano Banana 2和Nano Banana Pro。适用于文本生成图像、图像到图像编辑、重复本地参考、批量生成、试运行请求检查或自定义Gemini兼容基础URL(如自托管网关)。
gargantuax
nano-banana-2
使用 RunComfy 上的 Google Nano Banana 2(Gemini 系列闪级文生图模型)生成图像——该技能内置了模型文档中的提示模式,因此输出比直接使用同一模型进行简单提示更清晰。文档介绍了 Nano Banana 2 的优势(快速迭代、图像内文字渲染、可预测构图、可选的网络上下文)、分辨率层级定价、安全容忍度调节,以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。
runcomfy-com
gpt-image-2
完整的 OpenAI 兼容 GPT Image 2 覆盖,涵盖 images/generations、images/edits 以及使用 image_generation 工具的 responses。当一次性图像助手不够用时使用——文本转图像、蒙版编辑、多图像批次、流式传输、partial_images 以及混合文本+图像的 Responses 流程。读取 .env 并尊重进程环境变量;可与任何 OpenAI 兼容网关配合使用。
gargantuax
ui-imgui
Unity IMGUI(即时模式GUI)专家,专注于使用OnGUI/即时模式的旧版编辑器工具。生成和修改IMGUI EditorWindows、自定义Inspectors、PropertyDrawers以及包含IMGUI代码(OnGUI、OnInspectorGUI)的脚本。在维护现有IMGUI编辑器代码或用户明确要求IMGUI/OnGUI时使用。
unity-technologies
nano-banana-pro-prompts-recommend-skill
根据用户需求,从 10,000+ Nano Banana Pro 生图提示词库中推荐最合适的提示词。 针对 Nano Banana Pro(Gemini)深度优化,同时全面兼容 Nano Banana 2、Seedream 5.0、GPT Image 1.5、Midjourney、DALL-E、Flux、Stable Diffusion 等所有文生图(text-to-image)AI 模型。 当用户想要执行以下操作时使用此 Skill: - 使用 AI 生图(任意模型 —— Nano Banana Pro、Gemini、GPT Image、Seedream 等) - 查找经过实测的 AI 生图提示词及提示词模板 - 获取特定场景的提示词推荐(人像写真、产品营销、社媒爆款、海报设计等) - 为文章、视频、播客或营销文案创作插图/配图 - 浏览带效果样图的精选提示词库 - 翻译与理解提示词撰写技巧 同系列推荐:可以使用 "ai-image-prompts" Skill —— 该提示词库的通用定位版本,不限特定模型。
youmind-openlab
gke-manifest-generation
Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).
google
gemini-live-api-dev
在构建 Gemini Live API 实时双向流式传输应用时使用此技能。涵盖基于 WebSocket 的音频/视频/文本流式传输、语音活动检测 (VAD)、原生音频功能、函数调用、会话管理、用于客户端身份验证的临时令牌、实时翻译以及所有 Live API 配置选项。涵盖的 SDK:google-genai (Python)、@google/genai (JavaScript/TypeScript)。
google-gemini
gpt-image-2
Generate and edit images with OpenAI GPT Image 2 (ChatGPT Images 2.0) on RunComfy. Documents GPT Image 2's strengths (embedded text, logos, multilingual typography, instruction precision), its 3 fixed sizes, edit-with-preservation language, and when to route to a sibling (Flux 2 / Nano Banana Pro / Seedream) instead. Calls `runcomfy run openai/gpt-image-2/text-to-image` or `/edit` through the local RunComfy CLI. Triggers on "gpt image 2", "gpt-image-2", "ChatGPT Images 2", "image 2", or any explicit ask to generate or edit with this model.
prime-skills
agent-platform-inference
连接到 Google Cloud Agent Platform GenAI 模型并执行推理,包括第一方 Gemini 模型和第三方 OpenMaaS 模型(Llama、DeepSeek、Qwen 等)。当你需要生成调用 Gemini 或 OpenMaaS 模型的代码、使用 GenAI SDK、OpenAI SDK 或旧版 Agent Platform SDK 进行身份验证、配置基础 URL 和全局/区域端点,或排查 429 Resource Exhausted (DSQ)、400 User Validation 或 404 Not Found 错误时使用。不要用于将模型部署到端点或运行模型评估。
google
ml-ai
Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN outlier detection), Sift (8-analysis automated root-cause), Knowledge Graph + RCA Workbench, and the LLM Plugin (OpenAI / Anthropic / Azure / Ollama / vLLM / LiteLLM). Use when you want anomaly alerts without static thresholds, natural-language querying, automated incident investigation, dashboards generated from a sentence, or a managed LLM proxy for plugins — even when the user says "alert when something looks weird", "explain this PromQL", "find the root cause", "make this a dashboard", or "wire Claude into Grafana" without naming any of these products.
grafana
gemini
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
openclaw
nano-banana-pro
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
intellectronica
agentkey
PROACTIVELY use whenever the user needs data outside your training set or requires a live network call — web search, URL scraping, news, social media (any platform), market prices (crypto/stocks/FX), on-chain data, e-commerce product data, business/company data, weather, travel (flights/hotels). The provider catalog is dynamic and grows over time; if unsure whether a provider exists, call find_tools first to discover it. Not needed for conceptual, code, or local-file work.
chainbase-labs