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34 results for "gmgn skills"
gmgn-heat-rank
Produce THE list of tokens that are hot RIGHT NOW and safe enough to look at, across every chain GMGN supports, scored 0-100 and capped at ten names. This is a screening skill: it starts from no address, sweeps all seven chains, gates every candidate on liquidity / real volume / concentration / rug-and-dev risk, scores the survivors on one cross-chain scale, and returns however many clear the score floor — fewer than ten in a weak market, never padded to fill the quota. USE THIS SKILL WHEN the user wants a curated hot list rather than raw rankings: "热榜", "热门代币", "近期热门", "帮我抓一轮热榜", "现在有什么值得关注的热币", "全链热门币", "生成热榜", "有没有新的热门盘", "what is hot right now", "give me the hot list", "which trending tokens are actually worth looking at", "screen the trending list for me". The same questions in any other language route here too - match on meaning, not wording. DO NOT USE THIS SKILL for a raw ranking dump ("show me the top 20 by volume on sol", "1h trending", "hot search list") - that is `gmgn-market trending` / `hot-searches`, which returns the exchange's own ordering untouched; nor for freshly launched bonding-curve tokens ("just launched", "pump.fun new", "新盘") - that is `gmgn-market trenches`; nor for one address the user already has ("is this token safe", "打个分", "尽调") - that is `gmgn-contract-dd`; nor for a chart read ("走势怎么样", "什么形态") - that is `gmgn-kline-pattern`; nor for early-stage hunting below this skill's own floor ("值得埋伏吗", "新币筛选", "早期机会", "discover early-stage opportunities") - that is `gmgn-market trenches`, because the candidate pool here starts at 500k market cap and 100k liquidity and never contains a bonding-curve token; nor for the wallet-side view of the same market ("聪明钱在买什么", "KOL 在买什么", "on-chain alpha", "copy-trade signals") - that is `gmgn-track smartmoney` / `kol`, which answers who is buying rather than what is worth looking at. The split is by who chooses the tokens: if the user names the token, it is not this skill; if the user is asking the skill to choose, it is. When nobody names a token and the wording alone collides with `gmgn-market` - "hot coins", "what's pumping", "trending tokens", "热门币", "什么币在涨" - the deciding test is the shape of the answer being asked for: an untouched ranking of N rows in the exchange's own order is `gmgn-market trending`; a short list that survived risk gates, carries a score and can be acted on is this skill. A bare ambiguous ask with no other signal defaults here, because this skill can point at the raw ranking while the raw ranking cannot screen itself. Nothing has to be supplied to run it - the trigger phrase alone is enough, and no address, chain or amount is ever required. Four things can be narrowed when the user asks for it: which chains are swept, the age ceiling, how many names come back, and the score floor; any value changed that way is named in the report.
gmgnaigmgn-narrative
Independently research and write an AI-narrative / due-diligence card for a crypto token — the kind of "叙事分析" card that covers what story a token is telling and what's independently verifiable about its social spread. Use whenever the user asks for a token's "叙事"、"舆情"、"传播情况"、"社媒热度", wants to know "这个币在讲什么故事"/"这个币是不是在蹭热点", asks to analyze or fact-check a token's X/Twitter narrative, or gives a bare contract address together with a request to understand its story rather than just its price/security numbers. This is not a raw safety score (`gmgn-contract-dd` owns that), not a screened hot list (`gmgn-heat-rank` owns that), and not a buy decision (`gmgn-token-buy` / `gmgn-swap` own that) — route here only when the ask is specifically about story and spread.
gmgnaigmgn-token-buy
Turn a token name into a vetted, sized buy order. Two things here are exclusive to this skill: resolving a NAME or symbol to the one right contract among its copycats, and sizing an order — amount, slippage, gas, position. No sibling does either. USE THIS SKILL WHEN a buy is being prepared, which shows up as a NAME or symbol, or an AMOUNT, or both — including the plainest possible ask with no mention of checking: 我想买 200u 的 PENGU, 帮我买 500 刀的 BONK, 买 1 个 SOL 的 WIF, 帮我买点 dogwifhat, 想梭 100u 的 XX, PENGU 现在能买吗, PENGU 能不能买, 能不能冲, 值不值得进, 确认是正主不是仿盘再买, buy me $500 of PENGU — and including a bare contract address once an amount arrives with it. DO NOT USE THIS SKILL for a bare contract address with no name to resolve and no amount to size (「这个地址能不能买」, 打个分, 尽调, 有没有貔貅, rug check, is this token safe): that one belongs to gmgn-contract-dd, which is the skill that returns the 0-100 safety verdict. This skill never computes a second verdict of its own — it CALLS gmgn-contract-dd and defers to it — so there is nothing to gain by taking that ask, and the user gets an order card they never asked for. Come back here the moment they name an amount. A buy question about a LAUNCHER rather than about a token — 「这个 dev 的新盘能不能买」, 「他下一个盘值不值得冲」, "should I buy his next launch", "will this dev rug at open" — is gmgn-dev-score: it scores the creator's own record, and there is no token name to resolve or amount to size yet. Come back here once they name the coin. Naming a token with no buy intent at all is gmgn-market search. gmgn-swap is where this skill ENDS, not a rival for it: gmgn-swap signs and submits, and this skill never touches a private key and never places an order, so a plain buy request starts HERE and reaches gmgn-swap only after the user confirms the order card. Note that gmgn-swap cannot start from a name either — its --output-token is a contract address and the only names it resolves are the currencies SOL/BNB/ETH/USDC — so 帮我买点 dogwifhat has to come here regardless of who is asked. Go straight to gmgn-swap only when the user says the pre-buy check is unwanted (skip the checks, 直接买, 不用尽调, 我很急), or for what this skill does not do at all: selling, percentage sells, limit orders, stop loss, take profit, trailing orders, multi-wallet batch trading, order status, gas-price lookups. The split is by what the ask still needs done, not by who executes: a name needs resolving and an amount needs sizing, so both start here; a bare address needs only a verdict, so it is gmgn-contract-dd's; a signed transaction is always gmgn-swap's.
gmgnaigmgn-dev-score
Decide whether a token creator's NEXT launch is safe to buy. Scores a dev address 0-100 on two separate axes — CONDUCT (will he dump on you at open) and POWER (has he ever actually built anything big) — from his full launch history and every trade he made in his own coins, then returns a buy / don't-buy call with a timing window. USE THIS SKILL WHEN the user asks a buy-decision question about a launcher: "can I buy this dev's new launch", "should I buy his next launch", "will this dev rug", "will he dump at open", "is his launch safe to snipe", "is it safe to buy at his open", "dev score", "creator score", "launch score", "is this launcher trustworthy enough to buy"; OR when the user gives a TOKEN address plus a team-trust question ("is this token's team trustworthy", "does this project's dev have a record", "has this creator rugged before") — resolve the creator with `gmgn-cli token info` -> `dev.creator_address` first, then score that address; OR when the user gives a WALLET address plus an explicit launch-history question ("what tokens has this address launched", "how did his previous launches do", "did all his coins go to zero"). The same questions asked in any other language route here too — match on meaning, not on wording. DO NOT USE THIS SKILL for a bare wallet address with no question attached: a bare address is a copy-trade question by default and belongs to gmgn-wallet-analysis, which declares itself the default for it. Also do not use it for copy-trade questions ("is this wallet worth copying", "should I copy this wallet", "copy-trade score"), wallet profitability ("is this wallet profitable", "what is this wallet's track record"), or wallet-profile phrasings ("is this a token-creator wallet", "how is this dev's reputation") — those belong to gmgn-wallet-score. The split is by question type, not by address type: those skills answer "who is this wallet" (a profile), this skill answers "should I buy his launch" (a decision, with a timing window). Note how close "how is this dev's reputation" (profile → gmgn-wallet-score) sits to "dev score" (decision → here): the deciding factor is whether a buy is on the table. If it is genuinely ambiguous, ask one short question instead of guessing — the two produce different reports and there is no cheap hedge.
gmgnaigmgn-contract-dd
Contract due-diligence score for one token address — contract safety, holder structure and price action combined into a single 0-100 composite, capped by GMGN's own rug label, where every deduction names the field it read and an absent field is never a passing check. Use when the user wants one verdict number rather than fields: 尽调, CA 尽调, 给这个币打个分, 这个币安全吗, 能不能买, 有没有貔貅, is this token safe, rug check, honeypot check, due-diligence score, score this contract, or pastes a bare token contract address. A bare address may equally be a wallet — Step 0 resolves which and hands wallets to gmgn-wallet-analysis. Prefer this over gmgn-token whenever the ask is a verdict rather than a field dump; the raw fields themselves — price, market cap, liquidity, holder and trader lists, the unscored security fields — are gmgn-token, chip structure is gmgn-holder-analysis, chart-pattern naming is gmgn-kline-pattern. Buy intent narrows to this skill only when the ask is a bare address: the input is --address, and no name is ever resolved here. When the user names the token instead — 帮我买 200u 的 PENGU, XX 能不能买, 能不能冲, 我想梭, buy me $500 of BONK — or wants a position size, gmgn-token-buy owns it, because picking the one right contract out of the same-name copycats and sizing slippage and gas are both outside this skill's input. That skill calls this one for the safety verdict rather than replacing it, so a bare address with no name and no amount still scores here exactly as before.
gmgnaigmgn-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.
gmgnaigmgn-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.
gmgnaigmgn-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.
gmgnaigmgn-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.
gmgnaigmgn-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.
gmgnaigmgn-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.
gmgnaigmgn-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
gke-upgrades
负责规划、执行和验证 Google Kubernetes Engine (GKE) 集群（包含 Standard 标准模式与 Autopilot 托管模式）的升级与运维操作。能够产出升级方案、升前/升后检查清单、附带 gcloud 命令的运维 Runbook、发布渠道（Release Channel）策略以及排障指南。支持各类节点池升级策略（如浪涌升级 surge、蓝绿升级 blue-green）、版本兼容性评估、PDB 规范管理，以及针对特定工作负载（有状态应用、GPU、Operator 算子）的专项处理。 当用户提及 GKE 升级、Kubernetes 版本跨度升级、节点池运维、GKE 打补丁、集群版本管理、发布渠道选择、维护时间窗口设定、浪涌升级、升级卡死或任何 GKE 生命周期的管理任务时（哪怕只是像“我们该升下集群了”、“规划一下下次 GKE 维护”或“升级卡住了”这类随口一提的描述），均可触发本 Skill。 请勿用于 GKE 集群新建、应用接入 (Onboarding)、基础网络/路由配置或安全策略配置（此类场景请使用 gke-basics 或其他相关的 GKE Skill）。
google
blender-mcp
Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.
vladmdgolamgke-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-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
gcp-cloud-run
Specialized skill for building production-ready serverless
sickn33
geniml
Use Geniml for audited local genomic-interval workflows: validate BED and universe contracts, plan Region2Vec or scEmbed runs, inspect model/tokenizer compatibility, and assess consensus universes.
k-dense-ai
gpt-image-2
面向 GPT Image 2 的图像生成 / 编辑技能。可在 3 种环境下使用：(A) Garden 本地模式，通过 OpenAI 兼容接口直接出图并落盘；(B) Host-Native 模式，把本 Skill 当作提示词工程指引，把渲染好的 prompt 交给宿主 Agent 自带的图像工具出图；(C) Advisor 模式，宿主无任何图像工具时退化为高质量 prompt 顾问。涵盖 18 大类、80+ 个结构化模板，覆盖海报 / UI / 产品 / 信息图 / 学术图 / 技术架构图 / 漫画 / 头像 / 流程板 / 电影分镜 / IP 周边 / 编辑工作流等场景。
conardli
github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like check CI status, create PR, list issues, or query the GitHub API.
dimillian
deepstream-generate-pipeline
Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on video', 'detect objects in stream', 'save inference output', 'deepstream pipeline', 'gst-launch pipeline', 'process video with detection', 'build a pipeline', or any request involving GStreamer/DeepStream elements (nvinfer, nvstreammux, nvtracker, etc.).
nvidia
mongodb-connection
优化 MongoDB 客户端连接配置（连接池、超时、模式），适用于任何支持的驱动程序语言。在处理/更新/审查实例化或配置 MongoDB 客户端的函数（例如调用 `connect()`）、配置连接池、排查连接错误（ECONNREFUSED、超时、连接池耗尽）、优化与连接相关的性能问题时使用此技能。这包括构建 MongoDB 无服务器函数、创建使用 MongoDB 的 API 端点、优化高流量 MongoDB 应用程序、创建长时间运行的任务和并发，或调试与连接相关的故障等场景。
mongodbgemini-interactions-api
在编写调用 Gemini API 进行文本生成、多轮对话、多模态理解、图像生成、视频生成、流式响应、后台研究任务、函数调用、结构化输出或从旧的 generateContent API 迁移时，使用此技能。本技能涵盖 Interactions API，这是在 Python 和 TypeScript 中使用 Gemini 模型和代理的推荐方式。
google-geminigke-basics
负责管理 GKE 集群的核心创建与资源供应、凭据获取、Autopilot 与 Standard 模式的选择以及工作负载部署。适用于创建 GKE 集群、获取 kubectl 访问凭据、配置 Workload Identity，或在 Autopilot 和 Standard 模式之间做出决策等场景。请勿用于 GKE 专项网络配置（请使用 gke-networking）、高级安全加固（请使用 gke-platform-security 或 gke-workload-security）或集群升级（请使用 gke-upgrades）。
google