AI Agent Skills
AI Agent Skills is a searchable directory of 11,000+ community-curated prompts and capability packages for Claude, Codex, and other AI agents. The platform organizes skills across 16 categories including agent workflows, testing and QA, backend APIs, security, design, and content writing. Users search by keyword or category, install skills via one-line commands into their agent environments, and can publish custom skills back to the directory. It integrates natively with Claude, Codex, n8n, Make, Zapier, and browser automation tools like Playwright and Selenium, enabling reusable agent capabilities across your automation stack.
AI Agent Skills is a searchable directory of 11, integrating with Claude, Claude Code, Codex and GitHub. InnovaAI rates it 4.8 of 10 for agency adoption, best for Developer, Technical Project Manager and Content Operations Lead roles.
Agency Audit
AI Agent Skills is a searchable directory of 11,000+ curated prompts and capability packages for Claude, Codex, and other AI agents, organized across 16 categories from agent workflows to security and testing. For agencies building AI-powered workflows or automating content and development tasks, it eliminates the friction of discovering, vetting, and installing reusable agent skills across your team's tools. Best adoption fit: technical teams and AI development agencies where multiple roles (developers, strategists, content ops) are already running Claude or Codex workflows and need a shared library to accelerate capability reuse.
5recommended
60/mo
No paid plan published
Low
Illustrative scenario. Not a guarantee. Net capacity needs a verified paid base plan, and none is published for this service, so it is not modeled. Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Developer handling AI agent prompt discovery and installation
- Technical Project Manager handling testing and QA automation setup
- Content Operations Lead handling backend API and code-generation task execution
- Your team uses proprietary or closed-source AI models exclusively and does not rely on Claude, Codex, or open-source agents for production workflows.
- You have fewer than 3 team members actively building with AI agents; the overhead of maintaining a shared skill library will exceed the time saved.
- Your agency's security or compliance policy prohibits storing prompts or agent configurations in third-party directories, even community-driven ones.
Internal Adoption Path
No paid plan published
60 hr/mo
5 seats × 12 hr each
$4,500/mo
modeled at $75/hr labor rate
No paid plan published
Illustrative scenario. Not a guarantee. No verified paid base plan is published for this service, so subscription cost and net capacity are not modeled. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of AI Agent Skills
Browse and search 11K+ curated skills
Developers and strategists search across 16 categories (agent workflows, testing, security, design, backend APIs, frontend) to find pre-built prompts and capability packages. Eliminates the need to write or debug common agent tasks from scratch.
Install skills via one-line commands
Technical team members install discovered skills directly into Claude, Codex, or other agents without manual copy-paste or configuration. Reduces setup time for new agent capabilities from 15 minutes to under 2 minutes per skill.
Filter by category and trending tags
Project managers and developers quickly narrow skill discovery by workflow type (e.g., testing and QA, backend APIs, DevOps) or trending tags like Python, SEO, or writing. Cuts discovery time from 30 minutes to 5 minutes for common use cases.
Publish and share community-contributed skills
Your team can contribute custom prompts and agent workflows back to the directory, building internal IP visibility and enabling other agencies to adopt your proven patterns. Supports GitHub integration for version control.
Integrations with Claude, Codex, and automation platforms
Skills work natively with Claude, Claude Code, Codex, and connect to n8n, Make, Zapier, and browser automation tools (Playwright, Puppeteer, Selenium, Browser Use). Enables seamless agent capability reuse across your entire automation stack.
Subscribe for new skill updates
Operations or technical leads receive notifications when new skills matching your team's categories are published, keeping your agency current with emerging agent patterns without manual monitoring.
What Makes AI Agent Skills Different
Unique advantages vs similar tools in this niche
Aggregates 11K+ skills across 16 categories in one searchable directory
vs Manually hunting GitHub repos or scattered skill listsThe homepage lists category counts such as 1455 agent workflows and 1643 research skills, giving a single index of community capabilities.
Explains skill vs MCP server vs slash command distinctions
vs Generic AI tool directories that blur capability typesA dedicated comparison section clarifies when to use an installable skill package versus a live MCP protocol endpoint.
Value Equation
Outcome-likelihood-time-effort assessment for AI Agent Skills
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. AI Agent Skills has no published pricing, so we hold this section until real numbers are available.
Contact AI Agent SkillsPricing
Pricing data not yet available for AI Agent Skills.
Reality Check
Adoption requires your team to shift from ad-hoc prompt engineering to a shared-library discipline, which takes 2-3 weeks of habit formation. ROI is highest when 5+ team members are actively using Claude or Codex for production workflows; smaller teams may find the discovery overhead outweighs the time savings.
Moderate effort: standard configuration with some customization needed
How This Accelerates White-Label Services
Who It's For
- ✓ai-development-agencies
- ✓marketing-agencies-building-ai-workflows
- ✓agencies-using-claude-code-or-codex
- ✓technical-teams-automating-content-and-dev-tasks
Acceleration Steps
- 1Create your account and complete setup wizard
- 2Configure discover and browse 11k+ curated ai agent skills across 16 categories
- 3Connect Claude
- 4Launch your first client project
Academy for AI Agent Skills
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
AI Agent Skills Agency Implementation, Building Productized Agent Services
Learn how to discover, customize, and deploy 11,000+ curated agent skills to deliver faster client projects and build recurring revenue through agent automation retainers. This course teaches agencies how to search skills across 16 categories, integrate them into Claude and Codex workflows, and package agent capabilities as productized services for clients.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Wiring Over WidgetsConcept
The AI agent itself is a commodity, but the value for agencies lies in the integration layer: connecting a pre-built agent to a client's CRM, calendar, and review cycle. This framework shifts focus from selecting the 'best' agent to mastering the wiring process. For example, an agency using Vendasta's white-label AI receptionist for a local business must configure it to match the client's booking rules and follow-up cadence, turning a generic tool into a tailored service. As agentic AI adoption grows (77% of decision-makers now run agents in production), clients expect this customization. Agencies that treat agents as components and invest in repeatable wiring processes can charge retainers for ongoing optimization, rather than one-off setup fees.
- Wiring Over WidgetsConcept
The AI agent market sells finished workers, but the strategic value for agencies lies not in the agent itself, which is increasingly a commodity, but in the wiring that connects it to a specific client's CRM, calendar, and review cycle. This framework, 'Wiring Over Widgets,' argues that agencies that treat agents as components rather than products win. The agent is the widget; the wiring is the integration, customization, and ongoing optimization that turns a generic tool into a tailored solution. For example, a white-label platform like Vendasta provides AI employees, but the agency's role is to configure them for each local business's unique lead flow and follow-up process. This wiring is where retainer pricing originates, as it requires ongoing maintenance and adjustment. Recent research shows that 88% of B2B marketers face foundational gaps, meaning clients need help not just deploying agents, but ensuring their operations can support them. Agencies that master the wiring can charge a premium for the irreducible value they add.
- Wiring Premium Over Agent CommodityConcept
Pre-built agents are converging on the same underlying model capability, so the agent itself prices toward zero. What holds value is the wiring: the mapping of a specific client's CRM fields, calendar rules, escalation paths, and review cadence into the agent's loop. Agencies that sell the agent as the product compete on seat price against every reseller of the same worker. Agencies that sell the wiring charge for discovery, field mapping, exception handling, and monthly tuning, which is retainer work. Vendasta's white-label AI workforce and Relevance AI's pre-built sales agents both arrive configured out of the box, which means the configuration is not the moat; the client-specific plumbing is. A practical test: if a competitor could swap your agent vendor next quarter without the client noticing, you sold a commodity. If the swap would break their CRM hygiene, approval chain, or reporting, you sold wiring.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and focus your value on the integration into the client's specific workflows, systems, and review processes.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and charge for the integration into the client's specific systems and workflows.
- The Productized Agent Trap: Why AI Agent Services Stall Without Client-Specific WiringFailure Pattern
- The Demo-to-Retainer Gap: Why AI Agents Stall After the Pilot CallFailure Pattern
8 modules selected for AI Agent Skills
Frequently Asked Questions
Answers about pricing, setup, implementation
AI Agent Skills is a community-driven directory of 11,000+ curated prompts and capability packages for Claude, Codex, and other AI agents. Your team searches by category (agent workflows, testing, security, design, backend APIs) or keyword, installs skills via one-line commands, and can publish custom skills back to the directory. It integrates with Claude, Codex, n8n, Make, Zapier, and browser automation tools like Playwright and Selenium.
Pricing information is not published in the available documentation. Visit the AI Agent Skills website or contact their team directly for current per-seat or team plan pricing.
Developers and technical PMs save the most time by discovering and installing pre-built testing, backend API, and code-generation skills instead of writing prompts from scratch. Content operations and strategists accelerate research, writing, and SEO workflows by reusing curated prompts. Project managers reduce onboarding friction when spinning up new Claude or Codex-based projects. Founders of AI development agencies gain a shared capability library that scales across multiple client engagements.
For a developer or technical PM running 3+ Claude/Codex workflows per week, reclaiming 30 minutes per workflow through skill discovery and installation yields roughly 1.5 to 2 hours per week. For content operations teams managing 5+ writing or research tasks weekly, reusing curated skills saves 2 to 3 hours per week. Savings compound as team size grows and skill reuse becomes habitual; a 5-person technical team may reclaim 8 to 12 hours per week collectively.
Setup is minimal if your team already uses Claude, Codex, or n8n/Make/Zapier. Developers install skills via one-line commands; no API keys or complex configuration are required. If you want to publish custom skills back to the directory, you will need to connect your GitHub account for version control. Rollout typically takes 1 to 2 weeks for a team to adopt the search-and-install workflow as habit.
Yes. Your team can contribute custom prompts and agent workflows to the directory, which helps other agencies discover your patterns and builds your agency's visibility in the AI development community. Community contributions are version-controlled via GitHub integration, so your team maintains control over updates and attribution.