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Found 5,074 Skills
Instrument Python LLM apps, build golden datasets, write eval-based tests, run them, and root-cause failures — covering the full eval-driven development cycle. Make sure to use this skill whenever a user is developing, testing, QA-ing, evaluating, or benchmarking a Python project that calls an LLM, even if they don't say "evals" explicitly. Use for making sure an AI app works correctly, catching regressions after prompt changes, debugging why an agent started behaving differently, or validating output quality before shipping.
Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.
Use for Cobo Agentic Wallet operations via the `caw` CLI: wallet onboarding, token transfers (USDC, USDT, ETH, SOL, etc.), smart contract calls, balance queries, and policy denial handling. Covers DeFi execution on EVM (Base, Ethereum, Arbitrum, Optimism, Polygon) and Solana: Uniswap V3 swaps, Aave V3 lending, Jupiter swaps, DCA, grid trading, Polymarket, and Drift perps. Use when: user mentions caw, cobo-agentic-wallet, MPC wallet, TSS node, Cobo Portal, agent wallet, or needs any crypto wallet operation — even without explicit "Cobo" mention. NOT for: fiat payments, bank transfers, or crypto-to-fiat off-ramp.
ALWAYS use when working with Angular Lifecycle Hooks, ngOnInit, ngOnChanges, ngAfterViewInit, or component lifecycle in Angular.
Use when ending a session, wrapping up work, saying goodbye, or transitioning to a new task context after completing a development cycle
Use this skill when the user asks about: 'any crypto news', 'what happened recently', 'latest news', 'any big news today', 'catch me up', 'market update', 'daily briefing', 'morning briefing', 'market summary', 'BTC news', 'ETH news', 'any news on SOL', 'coin updates', 'what's going on with BTC', 'search SEC ETF', 'stablecoin regulation news', 'Bitcoin halving news', 'is BTC bullish or bearish', 'coin sentiment', 'how do people feel about ETH', 'sentiment trend', 'what's hot in crypto', 'trending coins', 'most mentioned coins', 'top bullish coins', 'bearish sentiment', 'social buzz', 'market mood', 'fear and greed', 'news sources', 'which platforms', 'full article', 'read more', or any request for crypto news, market intelligence, sentiment analysis, or social trend data. Requires API credentials. Do NOT use for market prices/candles (use okx-cex-market), placing orders (use okx-cex-trade), or account info (use okx-cex-portfolio).
Fetch web page content via Chrome DevTools Protocol (CDP). Full JS rendering, handles redirects (including Google News). Use when you need to read the text content of a web page, scrape articles, or extract information from URLs. Zero dependencies — Python 3 stdlib only. Cross-platform (Mac, Windows, Linux).
Long-form Web Novel Deconstruction. In-depth deconstruction of the golden three chapters, character structure, cool point design, and rhythm control of hit long-form novels. Trigger methods: /story-long-analyze, /long-novel-deconstruction, "Help me deconstruct this book", "Analyze the golden three chapters"
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations.