Agent Skills

accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/agent-skills.png
name: Agent Skills
description: A collection of resources, APIs, and standards related to AI agent skills and capabilities. Agent skills represent
  the tools, functions, and capabilities that AI agents can invoke to accomplish tasks — spanning web search, code execution,
  file management, memory, and external API integrations. This topic covers the major platforms and frameworks that define
  how agent skills are declared, discovered, and invoked.
url: https://github.com/api-evangelist/agent-skills
created: '2025-01-01'
modified: '2026-04-19'
specificationVersion: '0.18'
tags:
- Agent Skills
- AI Agents
- Tool Use
- Function Calling
- MCP
- Agentic AI
- Automation
apis:
- name: Anthropic Tool Use API
  description: The Anthropic Tool Use API allows AI agents built on Claude to call client-defined functions or Anthropic-provided
    server tools such as web search, code execution, and web fetch. Tools are declared in the API request and Claude decides
    when to invoke them based on context. Server tools run on Anthropic infrastructure while client tools execute in the calling
    application.
  humanURL: https://platform.claude.com/docs/en/docs/agents-and-tools/tool-use/overview
  baseURL: https://api.anthropic.com
  tags:
  - Anthropic
  - Tool Use
  - Function Calling
  - Claude
  - AI Agents
  properties:
  - type: Documentation
    url: https://platform.claude.com/docs/en/docs/agents-and-tools/tool-use/overview
  - type: APIReference
    url: https://platform.claude.com/docs/en/docs/agents-and-tools/tool-use/tool-reference
  - type: GettingStarted
    url: https://platform.claude.com/docs/en/docs/agents-and-tools/tool-use/build-a-tool-using-agent
- name: Google Agent Development Kit (ADK)
  description: Google's Agent Development Kit (ADK) is a flexible framework for building AI agents and multi-agent systems.
    It supports LLM agents, workflow agents, and custom agents with capabilities including MCP tool integration, OpenAPI tools,
    function tools, grounding via Google Search, streaming via Gemini Live API, and Agent-to-Agent (A2A) protocol for inter-agent
    communication. Available in Python, TypeScript, Go, and Java.
  humanURL: https://adk.dev/
  baseURL: https://adk.dev
  tags:
  - Google
  - Agent Development Kit
  - ADK
  - Multi-Agent
  - Gemini
  - Tool Use
  properties:
  - type: Documentation
    url: https://adk.dev/
  - type: GettingStarted
    url: https://adk.dev/get-started
  - type: GitHubRepository
    url: https://github.com/google/adk-python
- name: Model Context Protocol (MCP)
  description: The Model Context Protocol (MCP) is an open-source standard for connecting AI applications to external systems.
    MCP defines a standardized way for AI agents to access data sources, tools, and workflows. It enables agents to call external
    tools, access files, databases, and APIs through a consistent protocol supported by Claude, ChatGPT, VS Code, Cursor,
    and many other AI clients.
  humanURL: https://modelcontextprotocol.io/introduction
  baseURL: https://modelcontextprotocol.io
  tags:
  - MCP
  - Model Context Protocol
  - Standards
  - Tool Use
  - Open Source
  properties:
  - type: Documentation
    url: https://modelcontextprotocol.io/introduction
  - type: GettingStarted
    url: https://modelcontextprotocol.io/docs/develop/build-server
  - type: GitHubRepository
    url: https://github.com/modelcontextprotocol/specification
common:
- type: DomainSecurity
  url: security/agent-skills-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/api-evangelist
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/json-schema/agent-skills-tool-schema.json
  title: Tool Schema
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/json-schema/agent-skills-tool-call-schema.json
  title: Tool Call Schema
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/json-schema/agent-skills-tool-result-schema.json
  title: Tool Result Schema
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/json-schema/agent-skills-mcp-server-schema.json
  title: MCP Server Schema
- type: JSONLD
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/json-ld/agent-skills-context.jsonld
- type: Vocabulary
  url: https://raw.githubusercontent.com/api-evangelist/agent-skills/refs/heads/main/vocabulary/agent-skills-vocabulary.yaml
- type: Features
  data:
  - name: Function Calling
    description: AI agents can invoke user-defined or platform-provided functions based on natural language instructions,
      with structured input/output schemas.
  - name: Server-Side Tool Execution
    description: Platforms like Anthropic and OpenAI run certain agent skills (web search, code execution) on their own infrastructure,
      removing the need for client-side execution.
  - name: MCP Integration
    description: The Model Context Protocol provides a universal adapter layer enabling agents to discover and call any MCP-compatible
      server as a skill.
  - name: Multi-Agent Orchestration
    description: Frameworks like Google ADK support coordinating multiple specialized agents, with skills delegated across
      agent boundaries via protocols like A2A.
  - name: Strict Schema Enforcement
    description: Agent skill definitions can enforce strict JSON Schema compliance to ensure agents produce well-formed tool
      calls matching the declared parameter schema.
  - name: Tool Discovery
    description: Anthropic's tool_search server tool enables agents to discover available tools at runtime without statically
      declaring all tool schemas upfront.
- type: UseCases
  data:
  - name: Automated Research
    description: Agents use web search and fetch skills to retrieve, synthesize, and summarize information from the internet
      in response to user queries.
  - name: Code Generation and Execution
    description: Agents invoke code execution skills to write, run, and debug code within sandboxed environments, returning
      results to the user.
  - name: Data Integration
    description: Agents use OpenAPI-backed skills to read and write data across enterprise systems — CRMs, ERPs, databases
      — through standardized API calls.
  - name: File and Document Management
    description: Agents invoke file system skills to read, write, and organize documents, images, and structured data on behalf
      of users.
  - name: Multi-Step Workflow Automation
    description: Agents chain multiple skills in sequence — searching, retrieving, transforming, and storing data — to complete
      complex multi-step tasks autonomously.
  - name: AI-Assisted Customer Support
    description: Customer service agents use CRM lookup, ticketing, and knowledge base skills to resolve customer issues without
      human escalation.
- type: Integrations
  data:
  - name: Claude (Anthropic)
    description: Native support for tool use and MCP via the Anthropic Messages API.
  - name: ChatGPT (OpenAI)
    description: Function calling and MCP tool integration via the OpenAI Responses API.
  - name: Gemini (Google)
    description: Tool use and ADK integration for Gemini-based agents.
  - name: VS Code Copilot
    description: GitHub Copilot supports MCP servers as agent skill providers within the VS Code development environment.
  - name: Cursor
    description: Cursor IDE supports MCP tool integration for AI-assisted coding agents.
  - name: LangChain
    description: Open-source framework for composing agent skills into chains and graphs across multiple LLM providers.
  - name: LlamaIndex
    description: Data framework enabling agents to index and retrieve from external data sources as structured skills.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com