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Found 1,376 Skills
Use when building with DaisyUI — Tailwind CSS component class library. Covers class naming conventions, component classes (btn, card, modal, drawer, tab, badge, alert, etc.), color modifiers, size modifiers, theming with data-theme and CSS variables, OKLch colors, responsive patterns, installation, and class reference lookup via MCP tools.
Configures and manages Depot CI, a drop-in replacement for GitHub Actions that runs workflows entirely within Depot. Use when migrating GitHub Actions workflows to Depot CI, running `depot ci migrate`, managing Depot CI secrets and variables, running workflows with `depot ci run`, debugging Depot CI runs, checking workflow compatibility, or understanding Depot CI's current beta limitations. Also use when the user mentions .depot/ directory, depot ci commands, or asks about running GitHub Actions workflows on Depot's infrastructure without GitHub-hosted runners. NOTE: Depot CI is currently in beta with limited availability.
Transform AI-sounding text into natural, human-like writing by applying proven linguistic patterns and stylistic techniques. Use when text needs to sound more conversational, authentic, and less robotic - especially for essays, assignments, professional writing, blog posts, emails, or any content where human voice matters. Applies sentence variation, natural phrasing, contractions, personal voice, and removes AI tell-tale patterns.
Interact with GitHub repositories, pull requests, issues, and workflows using the GITHUB_TOKEN environment variable and GitHub CLI. Use when working with code hosted on GitHub or managing GitHub resources.
Systematic LLM prompt engineering: analyzes existing prompts for failure modes, generates structured variants (direct, few-shot, chain-of-thought), designs evaluation rubrics with weighted criteria, and produces test case suites for comparing prompt performance. Triggers on: "prompt engineering", "prompt lab", "generate prompt variants", "A/B test prompts", "evaluate prompt", "optimize prompt", "write a better prompt", "prompt design", "prompt iteration", "few-shot examples", "chain-of-thought prompt", "prompt failure modes", "improve this prompt". Use this skill when designing, improving, or evaluating LLM prompts specifically. NOT for evaluating Claude Code skills or SKILL.md files — use skill-evaluator instead.
Design Solana/Anchor instructions with clear inputs, constraints, authority checks, and invariants. Use when defining or reviewing instruction APIs.
Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT," this skill should be triggered to provide comprehensive earnings analysis and a multi-perspective investment memo. This skill complements the us-value-investing skill — us-value-investing focuses on long-term value four-dimensional scoring, while this skill focuses on in-depth dissection of the latest earnings, comprehensive judgment across multiple investment philosophies, and actionable position decisions.
Go coding standards and style conventions grounded in Effective Go, Go Code Review Comments, and production-proven idioms. Use when writing or reviewing Go code, enforcing naming conventions, import ordering, variable declarations, struct initialization, or formatting rules. Trigger examples: "check Go style", "fix formatting", "review naming", "Go conventions". Do NOT use for architecture decisions, concurrency patterns, or performance tuning — use go-architecture-review, go-concurrency-review, or go-performance-review instead.
End-to-end Google Search Ads campaign builder. Takes ICP + product info, performs keyword research via competitive analysis, builds ad group structure, generates headline/description variants, creates negative keyword lists, recommends bid strategy, and exports a campaign-ready CSV for Google Ads Editor import.
Tailwind CSS v4.x utility-first CSS framework best practices. Use when styling web applications with utility classes, building responsive layouts, customizing design systems with @theme variables, migrating from v3 to v4, configuring dark mode, creating custom utilities with @utility, or working with any Tailwind CSS v4 features. This skill covers the full v4.x line through v4.2 including text shadows, masks, logical properties, and source detection. Use this skill even for simple Tailwind questions — v4 changed many class names and configuration patterns that trip people up.
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
**THEMING & APPEARANCE GUIDE** — Assist with Syncfusion ASP.NET Core EJ2 component theming, customization, size modes, and dynamic theme switching. Use when: applying themes (Bootstrap, Material, Tailwind, Fluent, etc.), customizing theme variables, implementing theme switchers, enabling touch mode, or customizing icons and appearance.