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agent-squad-python

An AI agent skill from 2FastLabs/agent-squad, scored 44 out of 100 by code.

44/ 100D

Code score by group

  • Spec16/20
  • Description9/20
  • Procedure3/15
  • Done criteria0/15
  • Resources7/10
  • Scripts3/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Use when building or modifying a Python app that uses the agent-squad Python package — async multi-agent orchestration for Python 3.11+: orchestrator, agents (BedrockLLMAgent, AnthropicAgent, OpenAIAgent, SupervisorAgent, GroundedAgent, ChainAgent, and more), classifier routing (Bedrock, Anthropic, OpenAI), storage (in-memory, DynamoDB, SQL/Turso), retrievers (Amazon KB, Dakera), tools (AgentTools, MCPToolProvider), and custom implementations.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
2FastLabs/agent-squad
Folder
python
License
Apache-2.0
GitHub stars
7,802
SKILL.md lines
410
Other files
97

Add agent-squad-python to your agent

npx skills add 2FastLabs/agent-squad --skill agent-squad-python

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from 2FastLabs/agent-squad

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    53D
  2. agent-squad-typescript

    Use when building or modifying a Node.js / TypeScript app that uses the agent-squad npm package — multi-agent orchestration: orchestrator, agents (all built-in types + GroundedAge…

    47D

All skills in 2FastLabs/agent-squad

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.