Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 6 hours ago
45,098 skills
- vercel-react-best-practicesCherryHQ/cherry-studioReact and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.EngineeringNo warnings★ 53K↓ —
- angular-migrationwshobson/agentsMigrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.PlanningNo warnings★ 41.7K↓ —
- agent-browsershanraisshan/claude-code-best-practiceBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.BrowserNo warnings★ 68.1K↓ —
- nature-paper-xrayYuan1z0825/nature-skillsRead one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grounds each key formula in a worked micro-example with concrete numbers, and checks how far the evidence actually reaches, including where the authors are confident and where the paper does not report something. Delivers a structured Markdown long-read by default. Not a summary, not a translation, not a peer review.ScienceNo warnings★ 50.7K↓ —
- a4aNewsickn33/agentic-awesome-skillsConnect your AI agent to the A4A end-to-end encrypted agent-to-agent messaging network via local MCP tools or Python SDK.EngineeringNo warnings★ 48.5K↓ —
- java-junitgithub/awesome-copilotWrite, review and fix Java unit tests with JUnit 5 and JUnit 6 (Jupiter), AssertJ and Mockito: assertions, parameterized and nested tests, mocking rules, deterministic time and randomness, Surefire vs Failsafe, JaCoCo coverage, optional PIT mutation testing, and guardrails for agents (never skip or delete failing tests). Use when adding, refactoring or debugging tests in Maven or Gradle projects. Framework-neutral.TestingNo warnings★ 40.4K↓ —
- faf-gosickn33/agentic-awesome-skillsGuided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.PlanningNo warnings★ 48.5K↓ —
- paypal-integrationwshobson/agentsIntegrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.OtherNo warnings★ 41.7K↓ —
- plotlysickn33/agentic-awesome-skillsInteractive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.ScienceNo warnings★ 48.5K↓ —
- aws-resource-querygithub/awesome-copilotQuery AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.DevOpsNo warnings★ 40.4K↓ —
- crewaisickn33/agentic-awesome-skillsDesign role-based agents, tasks, crews, and flows with CrewAI.DesignNo warnings★ 48.5K↓ —
- threat-mitigation-mappingwshobson/agentsMap identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.SecurityNo warnings★ 41.7K↓ —
- lexsickn33/agentic-awesome-skillsStructured research aid for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.ScienceNo warnings★ 48.5K↓ —
- ai-debt-detectorwshobson/agentsUse after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.WritingNo warnings★ 41.7K↓ —
- data-storytellingwshobson/agentsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.DataNo warnings★ 41.7K↓ —
- macos-golden-gate-designgithub/awesome-copilotDesign, implement, review, or refactor native macOS 27 Golden Gate interfaces in SwiftUI or AppKit. Use when a Mac app must match Apple's current macOS 27 UI kit and restrained Liquid Glass language: integrated windows, full-height sidebars, native toolbars, flat lists, tables, and forms, clear pane boundaries, accessible materials, and removal of unnecessary nested cards, framed panels, or glassmorphism. Also use for Figma macOS 27 design-to-code work and audits of interfaces that feel too boxed.DesignNo warnings★ 40.4K↓ —
- code-reviewgithub/awesome-copilotReview pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.EngineeringNo warnings★ 40.4K↓ —
- ruff-recursive-fixgithub/awesome-copilotRun Ruff checks with optional scope and rule overrides, apply safe and unsafe autofixes iteratively, review each change, and resolve remaining findings with targeted edits or user decisions.WritingNo warnings★ 40.4K↓ —
- hunt-grpcsickn33/agentic-awesome-skillsHunt gRPC vulnerabilitiesSecurityNo warnings★ 48.5K↓ —
- gdpr-data-handlingwshobson/agentsImplement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal data, implementing privacy controls, or conducting GDPR compliance reviews.LegalNo warnings★ 41.7K↓ —
- conventional-commitgithub/awesome-copilotPrompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.EngineeringNo warnings★ 40.4K↓ —
- nx-workspace-patternswshobson/agentsConfigure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.OtherNo warnings★ 41.7K↓ —
- visual-design-foundationswshobson/agentsApply typography, color theory, spacing systems, and iconography principles to create cohesive visual designs. Use when establishing design tokens, building style guides, or improving visual hierarchy and consistency.DesignNo warnings★ 41.7K↓ —
- from-the-other-side-vegagithub/awesome-copilotPatterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.OtherNo warnings★ 40.4K↓ —
cro
coreyhaines31/marketingskills
MarketingUpdated 4 days ago
From the author
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.
Install
npx skills add coreyhaines31/marketingskills --skill cro -a claude-code
Installs to .claude/skills/cro/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption73
Files (4)
- SKILL.md
- evals/evals.json
- references/experiments.md
- references/form.md