Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
Graham cigar-butt (NCAV / net-net) single-stock diagnostic. Combines a 100-point static cheapness score (NCAV, PE, PB, dividend yield, debt coverage, earnings stability) with a dynamic adjustment layer (industry cycle, earnings trend, insider activity, NCAV trajectory) to separate real bargains from value traps. Pulls data from Longbridge CLI first; MCP fallback if CLI unavailable; falls back to WebSearch only for gaps, runs cross-statement reconciliation (勾稽校验) before scoring, and footnotes every figure to its source. Triggers: “格雷厄姆”, “捡烟蒂”, “烟蒂股”, “烟蒂投资”, “NCAV”, “净流动资产”, “清算价值”, “安全边际”, “价值陷阱”, “深度价值”, “撿煙蒂”, “煙蒂股”, “煙蒂投資”, “淨流動資產”, “清算價值”, “安全邊際”, “價值陷阱”, “深度價值”, “Graham”, “cigar butt”, “net-net”, “liquidation value”, “value trap”, “margin of safety”, “deep value”, “Benjamin Graham”.
Data charts on Moda from real data — CSV, a table, pasted numbers: bar, line, area, pie, scatter, combo; an editable chart on a live canvas, exported png or pdf. Use for: "chart/graph/plot this data", "visualize these numbers". NOT: a chart inside an artifact another moda skill is building — the building skill keeps it; boxes-and-arrows or quadrants → moda-diagram.
Manage database schema migrations in ZenStack V3. Use when creating/applying migrations (zen migrate dev/deploy/reset/status/resolve), prototyping with zen db push, introspecting an existing database with zen db pull, seeding, handling unsupported features (views) with --create-only, or wiring migrations into a deployment pipeline.
Expose ZenStack V3 data as automatic CRUD web APIs ("Query as a Service") and consume them. Use when adding REST/RPC endpoints with a server adapter (Express, Fastify, Next.js, Nuxt, SvelteKit, Hono, Elysia, TanStack Start), wiring per-request access control via getClient/$setAuth, generating an OpenAPI spec, or calling the API from a client (fetch-client, TanStack Query hooks).
Stock analysis and price movement forecasting. Trigger when the user expresses an intent to analyze, evaluate, or forecast, such as “Analyze Tencent,” “How has 0700 performed recently?”, “Is XX worth buying?”, “Forecast the future trend,” or “Generate an analysis report.” Do not trigger this Skill for simple queries such as “What is Tencent’s current price?” or “What is the ticker for Moutai?” Supports Hong Kong, A-share, and US stocks. Integrates multiple data sources, including news, fundamentals, technical indicators, capital flows, and macroeconomic information, to produce a multidimensional analysis and a structured report combining text, images, and visual charts. Requires a multimodal primary model (such as glm-5v-turbo) that can read images.
Fetch tweets, replies, timelines, search results, X Lists, and X Articles from X/Twitter without login or API keys. Single tweets: zero dependencies (FxTwitter). Timelines/search/replies: a Nitter instance (XTF_NITTER). Lists/Articles: a browser driver (Camofox or Playwright). Unified JSON schema across all backends; machine-readable error_code for agent branching. Field reports and agent-use questions: Agent Waystation #22 Teahouse: https://github.com/ythx-101/openclaw-qa/discussions/22
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.
Believable agent cost report for any period, defaulting to the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED); measured provider spend when a sanctioned source exists; note-taker cost separate; Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.
Integrate analytics. Google Analytics and Consent Mode consent signals, cookie banners, cookie-free measurement with Cloudflare Web Analytics, Workers Analytics Engine, and GraphQL Analytics API. Use when asked to add tracking tags, manage consent, configure analytics_storage or ad_storage, or choose or migrate analytics.
Use to enable Salesforce Change Data Capture (CDC) on a standard or custom object, configure a custom event channel, set a filter expression, or add enrichment fields. TRIGGER broadly on any of: 'enable CDC', 'enable Change Data Capture', 'turn on CDC', 'subscribe X to change events', 'only emit events for', 'filter change events', 'enrich change events', 'create a custom event channel'; or any mention of CDC, change events, PlatformEventChannel, PlatformEventChannelMember, EnrichedField, ChangeEvents channel, enrichment fields, change event filter; or when the user wants a downstream system to receive Salesforce data changes; or when the user touches .platformEventChannelMember-meta.xml / .platformEventChannel-meta.xml files. SKIP when publishing platform events, Pub/Sub API or REST/SOAP (use building-sf-integrations), or ManagedEventSubscription (out of scope for CDC). Always use this skill for CDC channel-membership metadata.
Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.
Rules and guidelines for working with Spring Data JPA in the project. ALWAYS use this skill when adding, removing, or modifying JPA entities, repositories, or projections. Trigger on any request that involves changing entity structure, adding new entities, modifying field annotations, updating database mappings, creating or modifying Spring Data repositories, or defining query projections (interfaces, DTOs).
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Retrieve Amazon product details by ASIN, including titles, images, bullet points, specifications, A+ pages, prices, ratings and reviews, and variants. When raw HTML is available, it can also try to extract Item Highlights. This skill is triggered by mentions of Amazon product details, ASIN lookup, product page data, Listing analysis, bullet point extraction, Item Highlights extraction, title enrichment, product images, variant browsing, competitor Listing research, price lookup, review breakdowns, product specifications, Amazon product details, ASIN lookup, listing analysis, bullet points, variant info, product pricing, ratings and reviews, A+ content, product specifications, or product images. Even if the user does not explicitly say “product details,” trigger this skill whenever the request involves retrieving structured data from an Amazon product page by ASIN.
Create interactive data visualizations using d3.js. Use this skill when creating custom charts, graphs, network diagrams, geographic visualizations, or any complex SVG-based data visualization that requires fine-grained control over visual elements, transitions, or interactions. Use it for bespoke visualizations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Database selection, schema definition, connections, and migrations. For Postgres, use Neon; for SQLite, use Cloudflare D1; for ORM, use Drizzle. Separate connection targets and roles with app_migrations and app_application. Migrate data in this order: get counts, dry run, validate, run in production, remove the API. Use when asked to change schemas, perform migrations, bulk-convert existing records, add or modify DB connection settings, or review them.
Elliott Wave technical timing analysis for individual stocks. Identifies current wave cycle position (impulse 5-wave / corrective ABC), validates with Fibonacci ratios, confirms with momentum indicators (MACD, RSI, volume divergence), and evaluates market environment per market (HK / US / A-share / SGX). Outputs structured natural language report with Fibonacci price zones and actionable reference. Triggers on "波浪分析", "艾略特波浪", "Elliott Wave", "波浪周期", "wave analysis", "技术择时", "technical timing", stock ticker + wave/timing keywords, "现在是第几浪", "处于哪个波浪", "波浪判断", "波浪理论", "浪形分析", "波浪择时".
Use when analyzing markets or interpreting charts - applies technical indicators (RSI, MACD, Moving Averages), identifies support/resistance, analyzes multi-timeframe trends, checks fundamentals and sentiment. Activates when user says "analyze BTC", "what's the trend", "check this chart", mentions ticker symbols, or uses /trading:analyze command.
How to read data from the Sui network. Use when choosing or implementing a data access strategy—queries for on-chain state, indexing pipelines, historical lookups, event subscriptions, cross-chain reads, or off-chain blob storage. Covers the two live Sui APIs (gRPC and GraphQL RPC), the Archival Store, the General-Purpose Indexer, the `sui-indexer-alt` custom indexing framework, and Walrus for off-chain blobs.
Search and extract contact information for people or companies including names, phone numbers, emails, job titles, and LinkedIn profiles. Aggregates data from multiple sources and provides enriched contact details. Use when users need to find contact information, build prospect lists, or enrich existing contact data.
End-to-end data analysis: inspect messy tables, clean data, define consistent metrics, calculate indicators, reconcile figures, and produce reports. Use for Excel/CSV/system-exported data, pivot tables and formulas, investigating why two figures do not match, or assessing whether a number is reliable. The goal is for calculated figures to withstand scrutiny. Leave slides and PPT to huashu-design.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.