jbaruch/koog
Koog 1.0 idioms, gotchas, and scaffolding skills for Kotlin agents on the JVM
87
88%
Does it follow best practices?
Impact
87%
1.85xAverage score across 45 eval scenarios
Advisory
Suggest reviewing before use
task.mdevals/scenario-23/
Scaffold a New Agent Project from Scratch
Problem/Feature Description
A developer wants to start a new Kotlin agent project on the JVM. The target directory does not exist yet. They want to use OpenAI as the LLM backend and Gradle as the build tool (Kotlin DSL). They have an OpenAI API key in their shell environment.
They invoke the scaffold skill with the target path and the OpenAI provider choice.
Output Specification
Walk through what the skill should produce. Capture the resulting build.gradle.kts, Main.kt, and any other files in a single response, with each file clearly labeled.
evals
scenario-1
scenario-2
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scenario-7
scenario-8
scenario-9
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scenario-19
scenario-20
scenario-21
scenario-22
scenario-23
scenario-24
scenario-25
scenario-26
scenario-27
scenario-28
scenario-29
scenario-30
scenario-31
scenario-32
scenario-33
scenario-34
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scenario-39
scenario-40
scenario-41
scenario-42
scenario-43
scenario-44
scenario-45
skills
add-observability
add-persistence
add-rag
add-structured-output
add-token-budgeting
add-tool
cache-llm-calls
define-prompt
domain-model-subtask-pipeline
references
enable-prompt-caching
handle-agent-events
manage-state
migrate-from-0-x
model-planner-subtasks
persist-chat-history
query-sql-from-agent
scaffold-agent
snapshot-and-restore
test-koog-agents
trace-agent-internals
use-attachments
use-functional-agent
use-llm-node-variants
use-planner
wire-a2a
wire-acp-server
wire-ktor-server
wire-mcp-server
wire-spring-boot