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Found 9,277 Skills
Alibaba Cloud Tablestore Agent Storage Skill. Use for building and managing Tablestore-based knowledge bases with the `tablestore-agent-storage` Python SDK. Capabilities: - Install and configure the `tablestore-agent-storage` SDK - Create, describe and list knowledge bases (with subspace and custom metadata support) - Upload local files or import OSS documents into a knowledge base - Query document status and list documents - Perform hybrid retrieval (dense vector + full-text) with metadata filtering - Set up local directory sync scripts and scheduled tasks for automatic knowledge base updates Triggers: "知识库", "tablestore", "ots", "表格存储", "agent storage", "knowledge base", "向量检索", "文档上传", "文档导入", "知识库同步", "tablestore-agent-storage", "AgentStorageClient"
Component development expert for general React projects. Suitable for scenarios that do not rely on KWC project structure and only need to use @kdcloudjs/shoelace and KWC extended components in React projects. Responsible for component code writing, access methods, event binding, style specifications and related API consultation. If the current project is already a KWC React project, please use kwc-react-development instead.
Full workflow of AI short drama generation: account management, scriptwriting, video production. Integrated with X2C billing system, suitable for commercial deployment. It includes three core modules: ad-account-manager (account management), ad-writer (scriptwriting prompts), ad-producer (video production).
GetProspect platform help — B2B email finder, verifier, enrichment, and cold email outreach with 200M+ contacts and 26M+ companies. Includes LinkedIn Email Finder Extension, contact enrichment (40+ attributes), email verification (97% deliverability guarantee), and cold email sequences. Use when finding B2B emails, enriching leads, verifying emails, building cold email sequences, exporting leads from LinkedIn, or working with the GetProspect API. Do NOT use for cross-platform enrichment strategy (use /sales-enrich), email deliverability strategy (use /sales-deliverability), prospect list strategy (use /sales-prospect-list), or outbound cadence strategy (use /sales-cadence).
Patterns for using Testcontainers in .NET integration tests to spin up real dependencies like databases and message queues. Use when writing integration tests that require real databases, testing with message brokers like RabbitMQ or Kafka, or isolating test dependencies with Docker containers.
Vercel agent-browser — Rust CLI for AI-driven browser automation via CDP. Use when: "agent-browser", "browse website", "automate browser", "scrape with browser", "fill form", "click button", "take screenshot", "browser automation", "headless chrome", "web interaction", "accessibility snapshot", "browser refs". Deterministic ref-based selectors, JSON output, daemon architecture. Replaces Playwright/Puppeteer for agent workflows.
Explore consciousness, mental states, and mind-body relations. Use for: hard problem of consciousness, qualia, intentionality, mental causation, personal identity, free will phenomenology, predictive processing, Free Energy Principle. Triggers: 'consciousness', 'qualia', 'mind', 'subjective experience', 'what it is like', 'hard problem', 'explanatory gap', 'zombie', 'Mary's room', 'Nagel', 'Chalmers', 'Dennett', 'Friston', 'Seth', 'Metzinger', 'phenomenal', 'access consciousness', 'self-model', 'interoception', 'predictive processing', 'active inference', 'Markov blanket'.
3D print models generated with Meshy AI. Handles slicer detection, white model printing, multi-color printing via API, and print-optimized download workflows. Use when the user mentions 3D printing, slicing, Bambu, OrcaSlicer, Prusa, Cura, Creality Print, Elegoo, Anycubic, multicolor, multi-color, 3mf, or wants to print a figurine, miniature, or physical model.
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.
Trigger: Call this skill when the task you are facing clearly requires collaboration of multiple ideological tools. Common trigger signals include: starting a new project from scratch, tackling complex and difficult problems, iterating and optimizing existing solutions. This skill provides standardized cross-skill workflow combinations to solve the problem of "which skill to use first and how to connect them". English: Trigger when a task clearly requires multiple skills in sequence. Use this skill to select a standard workflow that chains skills together, defines data handoff between steps, and specifies termination conditions.
Configure-Price-Quote (CPQ) vertical skill for the Customware SPA. Defines the section layout, config schema, business rule templates, and deterministic mapping rules for transforming a DOMAIN.md into a CPQ config object. Use this skill when the Builder Agent classifies a customer's domain as a quoting, pricing, or product configuration system. Trigger signals: products with dependencies, price lists, markup/margin calculations, quote generation, proposal workflows, accessory compatibility, product configuration options.
Build and execute commands to obtain Japanese stock market data with J-Quants CLI (jquants). It supports acquisition of stock prices, OHLCV candlesticks, minute bars, tick data, margin trading balances, short selling ratios, futures, options, financial statements, dividends, TOPIX and index data. It also supports checking API availability and obtainable data periods (Free/Light/Standard/Premium) for each plan. Triggers: jquants, J-Quants, stock price, stock price data, ticker, OHLCV, minute bar, JPX, TSE, TOPIX, Nikkei 225, futures, options, derivatives, short selling, margin trading, dividend, financial statements, financial results, PER, PBR, ROE, index, bulk download, Japanese stock, market data, subscription, plan, data range, API availability, update time, data update, update timing, outdated data, latest data, data freshness, update schedule