发现 Skills
为真实工作流程挑选经过整理的 Skill,连接、安装并开始使用。
terraform-module-library
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, and automating repeatable deployments.
timesfm-forecasting
Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
token-integration-analyzer
Token integration and implementation analyzer built on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, detects 20+ known “weird token” patterns, assesses contract composition and owner privileges, performs on-chain scarcity and holder-concentration analysis, and evaluates how protocols handle non-standard tokens. Context-aware for both token implementations and protocol integrations.
ton-vulnerability-scanner
Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.
top-design
Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "premium website", "portfolio site", "scroll animations", "Awwwards quality", or "brand experience". Covers dramatic typography, purposeful motion, scroll-based composition, and performance-optimized animation. For foundational UI, see refactoring-ui. For type selection, see web-typography.
torchdrug
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
ui-ux-pro-max
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create.
usfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
ux-heuristics
Evaluate and improve interface usability using heuristic analysis. Use when the user mentions "usability audit", "UX review", "users are confused", "heuristic evaluation", "form usability", or "navigation problems". Covers Nielsen's 10 heuristics, severity ratings, and information architecture. For visual design fixes, see refactoring-ui. For conversion-focused audits, see cro-methodology.
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
vite
Vite build tool configuration, plugin API, SSR, and Vite 8 Rolldown migration. Use when working with Vite projects, vite.config.ts, Vite plugins, or building libraries/SSR apps with Vite.
vue-best-practices
MUST be used for Vue.js tasks. Strongly recommends the Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, and vue-tsc. Load for any Vue work: .vue files, Vue Router, Pinia, or Vite projects using Vue. ALWAYS use the Composition API unless the project explicitly requires the Options API.
vue-router-best-practices
Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.
workiq-copilot
Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.
data-pipeline
ETL/ELT pipeline design. Trigger when the user wants to create data flows, transformations, or orchestration.
ops-opnsense
Declarative OPNsense configuration via Terraform. Resources for interfaces, firewall, NAT, DHCP/DNS, and aliases.
qa-chrome
Visual testing and browser debugging via Chrome. Use to test web pages, verify visual rendering, debug with the console, or automate browser actions. Trigger when the user mentions "visual test", "Chrome", "browser", "browser console", "DOM", "screenshot", "GIF".
jimeng-skill
Use the Jimeng (Dreamina) CLI to generate images or videos. Invoke when the user needs to generate images or videos using Jimeng (Dreamina).
rltools-l2f
Learning to Fly (L2F) quadrotor development — quadrotor simulation, drone control policies, system identification, domain randomization, sim-to-real deployment.
publication-scout
Discover publishable research sweet spots at keyword intersections via deep research, verify gaps against real literature, and output exactly 3 ISI/Scopus Q1/Q2 publication approaches with 5-Gates critical review.
rl-theory-analyzer
Analyzes RL algorithms mathematically — derives update rules, proves convergence, identifies failure modes, and classifies algorithms along standard taxonomic dimensions.
req-tester
识别需求文档中的问题
yael-hirsch
Dr. Yael Hirsch — the Structural Analyst. Gives feedback on architecture: dual-POV mechanics, information management, the reader-knows-more mechanism, scene function, convergence structure. Trigger when you want rigorous thinking about whether the skeleton of the story is sound — not individual scenes in isolation but how they relate to each other and to the whole. Strongest counterpart to Cian O'Doherty (she sees the skeleton; he sees the skin).
document-review
Use this skill to refine brainstorm or plan documents before moving to the next workflow step. Apply it when a brainstorm or plan document exists and the user wants to improve its clarity, completeness, or readiness for execution.