Agent skill · AI & Agents

agentica-sdk

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

parcadeigithub.com/parcadeiGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill agentica-sdk --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Allowed tools: BashReadWriteEdit
Path: .claude/skills/agentica-sdk/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

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

From the SKILL.md

# Agentica SDK Reference (v0.3.1) Build AI agents in Python using the Agentica framework. Agents can implement functions, maintain state, use tools, and coordinate with each other. ## When to Use Use this skill when: - Building new Python agents - Adding agentic capabilities to existing code - Integrating MCP tools with agents - Implementing multi-agent orchestration - Debugging agent behavior ## Quick Start ### Agentic Function (simplest) ```python from agentica import agentic @agentic() async def add(a: int, b: int) -> int: """Returns the sum of a and b""" ... result = await add(1, 2) # Agent computes: 3 ``` ### Spawned Agent (more control) ```python from agentica import spawn agent = await spawn(premise="You are a truth-teller.") result: bool = await agent.call(bool, "The Earth is flat") # Returns: False ``` ## Core Patterns ### Return Types ```python # String (default) result = await agent.call("What is 2+2?") # Typed output result: int = await agent.call(int, "What is 2+2?") result: dict[str, int] = await agent.call(dict[str, int], "Count items") # Side-effects only await agent.call(None, "Send message to John") ``` ### Premise vs System Prompt ```python # Premise: adds to def

What's inside
Steps it walks through
  1. When to Use
  2. Quick Start
  3. Agentic Function (simplest)
  4. Spawned Agent (more control)
  5. Core Patterns
  6. Return Types
  7. Premise vs System Prompt
  8. Passing Tools (Scope)
  9. SDK Integration Pattern
  10. Agent Instantiation
  11. spawn() - Async (most cases)
  12. Agent() - Sync (for init)
  13. Model Selection
  14. Persistence (Stateful Agents)
More from Continuous-Claude-v3
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About this skill
What does the agentica-sdk skill do?

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentica-sdk --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 parcadei/Continuous-Claude-v3, a repository with 3,879 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