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.
Install with Tessl CLI
npx tessl i github:duclm1x1/Dive-Ai --skill ai-agents-architect69
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
ReAct 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%
Without context: $0.7304 · 2m 45s · 36 turns · 40 in / 10,724 out tokens
With context: $0.9467 · 3m 35s · 40 turns · 332 in / 13,584 out tokens
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%
Without context: $0.6618 · 2m 24s · 31 turns · 35 in / 9,869 out tokens
With context: $0.6108 · 2m 35s · 27 turns · 29 in / 9,804 out tokens
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%
Without context: $0.4405 · 2m 31s · 14 turns · 19 in / 9,940 out tokens
With context: $0.7681 · 4m 6s · 27 turns · 32 in / 14,533 out tokens
Table of Contents
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