
Ai Agent Builder
Design and implement AI agents with tool calling, memory, and multi-step flows for ChatGPT, Claude, and Gemini when shipping automation in your product or internal workflows.
Install
npx skills add https://github.com/claude-office-skills/skills --skill ai-agent-builderWhat is this skill?
- Maps input → agent → output architecture with tool/function-calling patterns
- Covers memory and context management for multi-turn agents
- Multi-step reasoning workflow templates aligned with large-scale automation catalogs
- Platform integration patterns for Slack, Telegram, and web channels
- Pairs with deep-research and n8n-style workflow skills for end-to-end automation
Adoption & trust: 2.5k installs on skills.sh; 196 GitHub stars; 2/3 security scanners passed (skills.sh audits).
Recommended Skills
Journey fit
Agent architecture and tool-integration patterns are where solo builders assemble runnable agent products after the idea is scoped. The skill centers on agent-tooling: function calling, memory, and reasoning workflows rather than generic frontend or PM work.
Common Questions / FAQ
Is Ai Agent Builder safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Ai Agent Builder
# AI Agent Builder Design and build AI agents with tools, memory, and multi-step reasoning capabilities. Covers ChatGPT, Claude, Gemini integration patterns based on n8n's 5,000+ AI workflow templates. ## Overview This skill covers: - AI agent architecture design - Tool/function calling patterns - Memory and context management - Multi-step reasoning workflows - Platform integrations (Slack, Telegram, Web) --- ## AI Agent Architecture ### Core Components ``` ┌─────────────────────────────────────────────────────────────────┐ │ AI AGENT ARCHITECTURE │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Input │────▶│ Agent │────▶│ Output │ │ │ │ (Query) │ │ (LLM) │ │ (Response) │ │ │ └─────────────┘ └──────┬──────┘ └─────────────┘ │ │ │ │ │ ┌───────────────────┼───────────────────┐ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Tools │ │ Memory │ │ Knowledge │ │ │ │ (Functions) │ │ (Context) │ │ (RAG) │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` ### Agent Types ```yaml agent_types: reactive_agent: description: "Single-turn response, no memory" use_case: simple_qa, classification complexity: low conversational_agent: description: "Multi-turn with conversation memory" use_case: chatbots, support complexity: medium tool_using_agent: description: "Can call external tools/APIs" use_case: data_lookup, actions complexity: medium reasoning_agent: description: "Multi-step planning and execution" use_case: complex_tasks, research complexity: high multi_agent: description: "Multiple specialized agents collaborating" use_case: complex_workflows complexity: very_high ``` --- ## Tool Calling Pattern ### Tool Definition ```yaml tool_definition: name: "get_weather" description: "Get current weather for a location" parameters: type: object properties: location: type: string description: "City name or coordinates" units: type: string enum: ["celsius", "fahrenheit"] default: "celsius" required: ["location"] implementation: type: api_call endpoint: "https://api.weather.com/v1/current" method: GET params: q: "{location}" units: "{units}" ``` ### Common Tool Categories ```yaml tool_categories: data_retrieval: - web_search: search the internet - database_query: query SQL/NoSQL - api_lookup: call external APIs - file_read: read documents actions: - send_email: send emails - create_calendar: schedule events - update_crm: modify CRM records - post_slack: send Slack messages computation: - cal