Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.
73
62%
Does it follow best practices?
Impact
91%
1.40xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./docs/v19.7/configuration/agent/skills_external/antigravity-awesome-skills-main/skills/ai-agents-architect/SKILL.mdReAct loop safeguards
Iteration limit defined
0%
100%
Loop exits on limit
0%
100%
Thought-Action-Observation structure
50%
100%
Tool errors surfaced
100%
100%
Execution is traced/logged
0%
80%
Robust output parsing
40%
80%
Terminates when stuck
37%
100%
Graceful degradation message
75%
100%
README safeguards documented
80%
100%
catalog.json used
100%
100%
Tool specification and curation
Parameter schema present
100%
100%
Descriptive docstrings
90%
70%
Example calls in registry
20%
50%
Tools scoped to the task
100%
100%
Total tool count reasonable
100%
100%
Tool errors returned
100%
100%
TOOL_REGISTRY implemented
100%
100%
Tool selector implemented
100%
100%
Selector actually filters
100%
58%
mock_data.json used
100%
100%
Multi-agent justification and memory management
Planning phase described
10%
100%
Execution phase described
87%
100%
Replanning mentioned
0%
100%
Multi-agent decision justified
0%
25%
Memory is selective
83%
100%
Failure modes documented
100%
100%
Graceful degradation behavior
87%
100%
Pipeline skeleton present
100%
100%
Planner component in code
0%
100%
Memory/state structure in code
87%
100%
Architecture-code alignment
100%
100%
20ba150
Table of Contents
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