ai-agent-development

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

0.97x

Quality

44%

Does it follow best practices?

Impact

97%

0.97x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/antigravity-ai-agent-development/SKILL.md

Evaluation results

100%

Automated Market Research Pipeline

CrewAI multi-agent system implementation

Criteria

Without context

With context

CrewAI package used

100%

Multiple distinct Agents

100%

Agent role attributes

100%

Agent goal attributes

100%

Task objects defined

100%

Task agent assignment

100%

Crew object created

100%

Crew process configured

100%

No monolithic single-agent pattern

100%

Crew kickoff invoked

100%

Without context: $0.3319 · 1m 54s · 21 turns · 28 in / 5,167 out tokens

With context: $0.4341 · 1m 39s · 23 turns · 29 in / 5,244 out tokens

100%

Document Review Automation System

LangGraph stateful workflow orchestration

Criteria

Without context

With context

LangGraph package used

100%

StateGraph created

100%

State schema defined

100%

Multiple nodes added

100%

Conditional edges used

100%

Graph compiled

100%

State passed between nodes

100%

Persistence configured

100%

END node or finish condition

100%

No simple linear pipeline only

100%

Without context: $0.3400 · 1m 41s · 15 turns · 20 in / 6,457 out tokens

With context: $0.4553 · 2m 3s · 19 turns · 21 in / 7,366 out tokens

93%

-5%

Patient Intake Agent Development Plan

Full agent development lifecycle planning

Criteria

Without context

With context

Agent purpose defined

100%

Capabilities listed

100%

Tool integration plan

100%

Short-term memory specified

100%

Long-term memory specified

100%

Success metrics defined

100%

Architecture flow described

100%

Evaluation test scenarios

100%

60%

Edge cases addressed

100%

Quality readiness checklist

80%

70%

Multi-phase structure

100%

Without context: $0.2975 · 2m 4s · 12 turns · 19 in / 5,567 out tokens

With context: $0.3924 · 2m 33s · 16 turns · 272 in / 7,020 out tokens

Repository: boisenoise/skills-collections
Commit: 5c5ae21

Evaluated: 16 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Automated Market Research Pipeline Document Review Automation System Patient Intake Agent Development Plan

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