Total 58,411 skills
Showing 12 of 58411 skills
Use this skill when you need to operate the Creem CLI for authentication checks, products, customers, checkouts, subscriptions, transactions, configuration, monitoring, or terminal automation workflows. Prefer it for agent-driven Creem tasks that should use real CLI commands and JSON output instead of dashboard clicks or guessed API calls.
Tracks betting line movements across sportsbooks for NBA, MLB, and Soccer in real-time, comparing odds from multiple bookmakers with sharp money detection and live game correlation. Triggers: betting odds, line movement, odds tracker, sports betting, spread changes, moneyline, over under, odds comparison, sharp money, live odds, point spread, value bets.
Turn a PRD into a traceable Memory Bank with product, requirements, epics, and features.
Lists, inspects, and manages TrueFoundry application deployments. Shows status, health, and details for services, jobs, and Helm releases. Also handles requests to delete, remove, or destroy applications by directing users to the TrueFoundry UI.
AI-assisted Ansible authoring toolkit for Claude Code. Scaffolds, reviews, and updates playbooks, roles, collections, and ansible.cfg files following production best practices. Sub-commands: new-playbook, review-playbook, update-playbook, new-role, review-role, update-role, new-collection, review-collection, update-collection, new-conf, review-conf, update-conf. Requires bash_tool. Runs discovery (CLAUDE.md to ansible.cfg to README to filesystem) at the start of every command.
Guide for creating evolving skills - detailed workflow plans that capture what you'll do, what tools you'll create, and learnings from execution. Use this when starting a new task that could benefit from a reusable workflow.
Fetch financial data from the Funda AI API (https://api.funda.ai). Covers quotes, historical prices, financials, SEC filings, earnings transcripts, analyst estimates, options flow/greeks/GEX, supply chain graph, social sentiment, prediction markets, congressional trades, economic indicators, ESG, and news. Triggers: stock quotes, fundamentals, balance sheet, income statement, cash flow, analyst targets, DCF, options chain/flow/unusual activity, GEX, IV rank, max pain, earnings/dividend/IPO calendar, SEC filings (10-K/10-Q/8-K), transcripts, supply chain (suppliers/customers/competitors), congressional trading, insider trades, institutional holdings (13F), Reddit/Twitter sentiment, Polymarket, treasury rates, GDP, CPI, FRED data, ESG scores, commodity/forex/crypto prices, stock screener, sector performance, ETF holdings, news, COT reports. Also triggers for "funda" or "funda.ai". If only a ticker is provided and Funda API can answer, use this skill.
Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI assistant and automation platform supporting natural language-driven task automation with multi-channel chat integration. This Skill covers the full workflow from ECS instance creation, public network configuration, base environment setup, one-click OpenClaw deployment to DingTalk bot verification. End users can chat with the AI assistant by @mentioning the bot in a DingTalk group. Triggers: "OpenClaw", "龙虾", "Clawdbot", "Moltbot", "DingTalk bot", "DingTalk AI", "deploy OpenClaw on ECS", "AI agent platform", "DingTalk integration", "openclaw dingtalk", "openclaw deploy", "DingTalk AI employee", "Alibaba Cloud OpenClaw", "Bailian + DingTalk", "DingTalk group AI", "DingTalk smart assistant", "部署龙虾", "龙虾机器人", "龙虾钉钉"
Use when the user needs to build MCP (Model Context Protocol) servers — tool definitions, resource management, prompt templates, transport layers, and client integration. Triggers: user says "MCP", "MCP server", "model context protocol", building tools for AI clients, creating AI integrations.
Use when the user needs React-specific patterns — hooks, component composition, Server Components, error boundaries, rendering optimization, and testing strategies. Triggers: hooks design, component composition, Server vs Client component decision, error boundary placement, context optimization, rendering performance.
Diagnose MSBuild build performance bottlenecks using binary log analysis. Only activate in MSBuild/.NET build context. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization below 80%, excessive Copy tasks, NuGet restore running every build. Covers timeline analysis, Target/Task Performance Summary interpretation, and 7 common bottleneck categories. Use after build-perf-baseline has established measurements. DO NOT USE FOR: establishing initial baselines (use build-perf-baseline first), fixing incremental build issues (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild build systems. INVOKES: dotnet msbuild binlog replay with performancesummary, grep for analysis.
Query real-time macroeconomic data including GDP, unemployment, inflation (CPI, PCE), interest rates, housing data, and consumer sentiment. Use this skill whenever the user asks about macroeconomic conditions, economic indicators, the Fed, interest rates, inflation, employment, labor market, housing market, yield curve, or any broad economic data point.