Loading...
Loading...
Found 9,761 Skills
This skill should be used when the user asks to 'find a token', 'search for a token', 'look up PEPE', 'what\'s trending', 'top tokens', 'trending tokens on Solana', 'token rankings', 'who holds this token', 'holder distribution', 'is this token safe', 'token market cap', 'token liquidity', 'research a token', 'tell me about this token', 'token info', or mentions searching for tokens by name or address, discovering trending tokens, viewing token rankings, checking holder distribution, or analyzing token market cap and liquidity. Covers token search, metadata, market cap, liquidity, volume, trending token rankings, and holder analysis across Solana, Ethereum, Base, BSC, Polygon, Arbitrum, and 20+ other chains. Do NOT use when the user says only a single generic word like 'tokens' or 'crypto' without specifying a token name, action, or question. For simple current price checks, price charts, candlestick data, or trade history, use okx-dex-market instead.
Full-channel automation for Lark. Use the lark-mcp tool to operate Lark Bitable, send messages, manage documents, create groups, automate workflows, etc. Use this skill when you need to operate the Lark platform, sync data to Lark tables, send Lark notifications, manage Lark documents, or automate Lark business processes.
Gmail: Watch for new emails and stream them as NDJSON.
Configure Trigger.dev projects with trigger.config.ts. Use when setting up build extensions for Prisma, Playwright, FFmpeg, Python, or customizing deployment settings.
Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When Claude needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.
CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
Let agents control many desktop software directly from the cli, with one pip install, and no MCP servers.
Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.
Retrieve the status of the last diagnosis to continue using it. Use in conjunction with dbs-save. Trigger methods: /dbs-restore, /continue, "continue from last time", "previous conclusion", "where did we leave off in the last diagnosis" Restore the most recent diagnosis snapshot saved by dbs-save. Trigger: /dbs-restore, "continue from last time", "where did we leave off"
Scan warpdotdev/warp and warp-server for recently merged PRODUCT.md specs that don't yet have a corresponding docs PR in warpdotdev/docs. When a complete spec is found, auto-generates a full docs draft PR and tags the engineer. When a spec is too thin to draft from, pings the engineer directly. Designed to run as a scheduled Oz ambient agent (e.g., every 2-3 days). Use when setting up the automated docs trigger or running a manual docs coverage sweep.
structlog - structured logging library for Python with native JSON support, context binding, and processor pipeline. Integrates with FastAPI, Django, and standard logging module. USE WHEN: user mentions "structlog", "python structured logging", "context binding", asks about "JSON logging python", "fastapi logging", "django structured logging" DO NOT USE FOR: Standard Python logging - use `python-logging` instead, Node.js logging - use `pino` or `winston`, Java logging - use `slf4j` or `logback` instead
Runs on the 25th — shows the next 30-day cash-flow outlook and flags anything that needs attention before month-end. Accepts optional 30 or 60 day horizon.