Agent skill · AI & Agents

atomic-agents

This skill should be used when the user asks to "create an agent", "configure AtomicAgent", "set up agent", "agent configuration", "AgentConfig", "ChatHistory", or needs guidance on agent initialization, model selection, history management, and agent execution patterns for Atomic Agents applications.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill atomic-agents --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/agent/atomic-agents/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Atomic Agents Agent Configuration The `AtomicAgent` is the core class for LLM interactions in the Atomic Agents framework. It handles structured input/output, conversation history, and system prompt management. ## Basic Agent Setup ```python import instructor import openai from atomic_agents.agents.base_agent import AtomicAgent, AgentConfig from atomic_agents.lib.components.system_prompt_generator import SystemPromptGenerator from atomic_agents.lib.components.chat_history import ChatHistory # 1. Create instructor-wrapped client client = instructor.from_openai(openai.OpenAI()) # 2. Configure the agent config = AgentConfig( client=client, model="gpt-4o-mini", history=ChatHistory(), system_prompt_generator=SystemPromptGenerator( background=["You are an expert assistant."], steps=["1. Analyze the input.", "2. Generate response."], output_instructions=["Be concise and helpful."], ), ) # 3. Create the agent with type parameters agent = AtomicAgent[InputSchema, OutputSchema](config=config) ``` ## AgentConfig Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `client` | Instructor client | Yes | Instructor-wrapped LLM client | | `mode

What's inside
Steps it walks through
  1. Basic Agent Setup
  2. AgentConfig Parameters
  3. LLM Provider Setup
  4. OpenAI
  5. Anthropic
  6. Groq
  7. Ollama (Local)
  8. Agent Execution Methods
  9. Synchronous
  10. Asynchronous
  11. Streaming (Sync)
  12. Streaming (Async)
  13. ChatHistory Management
  14. Context Providers
Ships with 1 file
  • metadata.json
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About this skill
What does the atomic-agents skill do?

This skill should be used when the user asks to "create an agent", "configure AtomicAgent", "set up agent", "agent configuration", "AgentConfig", "ChatHistory", or needs guidance on agent initialization, model selection, history management, and agent execution patterns for Atomic Agents applications.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill atomic-agents --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going