To access Anthropic's official brand identity and style resources, use this skill.

Guides the creation of detailed agile feature documentation from an existing epic. Use when the user wants to split an epic into feature files, derive features with scope and acceptance criteria, or plan feature documentation for stakeholders or engineering. This should trigger for requests such as Create features from an epic; Split epic into features; Feature files from epic; Derive features from epic. Part of cursor-rules-java project

Search and monitor social media using X/Twitter (via Grok) and Reddit APIs. USE FOR: - Searching X/Twitter posts by keywords or hashtags - Finding X/Twitter users by criteria - Getting a user's recent posts - Searching Reddit posts and discussions - Getting comments from Reddit threads - Social media monitoring and research TRIGGERS: - "twitter", "X", "tweets", "posts on X" - "reddit", "subreddit", "reddit discussion" - "what are people saying", "social media", "sentiment" - "trending", "viral", "popular posts" - "user's posts", "timeline", "recent activity" Use `npx agentcash fetch` for Grok (X) and Reddit endpoints. All endpoints are $0.02 per call. IMPORTANT: Use exact endpoint paths from the Quick Reference table below.

Search for people and properties using Whitepages APIs via x402. USE FOR: - Finding people by name and location - Address lookups and verification - Property owner information - Background research (with legitimate purpose) TRIGGERS: - "find person", "lookup person", "who lives at" - "property owner", "property search", "address lookup" - "person at address", "contact info for" IMPORTANT: These endpoints contain personal information. Use responsibly and only for legitimate purposes. See rules/privacy.md for guidance. Use `npx agentcash fetch` for Whitepages endpoints. Both endpoints are $0.44 per call.

Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use `npx agentcash fetch` for Serper endpoints. Both endpoints are $0.04 per call.

Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms. Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow. Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.

Use browser-use to perform Google searches, open results, and extract key information from live pages. Use when the user asks to "search Google", "look this up on Google", or needs current web results via a real browser session (often to avoid bot blocks).

Creates product strategies using Crossing the Chasm, Playing to Win, and strategic canvas frameworks. Use when defining where to play and how to win, choosing beachhead markets, or connecting tactics to strategy.

Defines right metrics using North Star framework, AARRR, and leading vs lagging indicators. Use when choosing metrics, instrumenting products, creating dashboards, or distinguishing vanity metrics from actionable ones.

Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".

This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.

Trust Wallet API for crypto data — token search, prices, trending tokens, swap quotes, market data, security checks, address validation, asset info, and coin status across 100+ blockchains. Use whenever the user asks about crypto prices, token info, swap rates, market cap, trending coins, token risk, honeypot detection, address validation, or wants to call the Trust Wallet / tws.trustwallet.com API directly. Covers HMAC-SHA256 authentication, supported chains, and all REST endpoints.

Trust Wallet CLI (`twak`) — install, create wallets, check balances, send tokens, swap, view history, set price alerts, DCA automations, limit orders, manage ERC-20 approvals, check token risk, browse trending/DApps, and run x402 micropayments. Use whenever the user wants to use the twak CLI, manage a crypto wallet from the terminal, send or swap tokens via command line, check portfolio, create price alerts, set up DCA, create limit orders, approve ERC-20 spenders, or interact with Trust Wallet from a shell. Also covers MCP server setup for AI agents.

Trust Wallet open-source libraries — Wallet Core (HD wallets, address derivation, tx signing in Swift/Kotlin/TypeScript/Go for 140+ chains), Web3 Provider (dApp connection for Ethereum/Solana/Cosmos/Bitcoin/Aptos/TON/Tron), deep linking, browser extension integration, WalletConnect, token assets repository, and Barz ERC-4337 smart wallet. Use when working with trustwallet/wallet-core, @trustwallet/wallet-core, trust-web3-provider, Trust Wallet deep links, token logos/metadata from trustwallet/assets, or Barz account abstraction.

Generate Excalidraw diagrams from text content. Supports three output modes - Obsidian (.md), Standard (.excalidraw), and Animated (.excalidraw with animation order). Triggers on "Excalidraw", "画图", "流程图", "思维导图", "可视化", "diagram", "标准Excalidraw", "standard excalidraw", "Excalidraw动画", "动画图", "animate".

Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture", or needs precise, editable, publication-ready vector diagrams. Preferred over AI illustration for formal architecture/workflow figures.

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.

Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibliography integrity.

Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check experiment integrity", "audit results", "实验诚实度", or after experiments complete before writing claims.

Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.