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7 agentic design patterns with decision tree for choosing the right pattern for each agent type
Passed 20 of 24 test cases with the skill, and 19 of 24 without it.
1 fixed19 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Following an agent design pattern decision tree, if a system coordinates multiple agents, tasks are NOT independent, and tasks are NOT strictly sequential, which pattern should be selected?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Hierarchical pattern for non-sequential multi-agent coordination | Missed | Passed |
The instructions your model reads when the skill loads.
Is the agent doing a single focused task?
YES -> Does it need self-evaluation?
YES -> Reflection
NO -> ReAct (default for most agents)
NO -> Is it coordinating multiple agents?
YES -> Are tasks independent?
YES -> Parallel Orchestration
NO -> Are tasks sequential with dependencies?
YES -> Sequential Orchestration
NO -> Hierarchical (supervisor + workers)
NO -> Is it routing to one of several specialists?
YES -> Router
NO -> Does it need structured task decomposition?
YES -> Planning
NO -> ReAct (default)
General-purpose agents needing tool calling and iterative problem-solving.
Loop: Reason -> Select/execute action -> Observe result -> Repeat until done. When: Default pattern. Most specialist agents. Examples: software-crafter, researcher, troubleshooter.
Agent must evaluate and iteratively improve its own output.
Loop: Generate -> Review against criteria -> Identify gaps -> Refine -> Validate threshold met. When: Quality-critical outputs where first-draft insufficient (code review, architecture review, agent validation). Examples: agent-builder-reviewer, solution-architect-reviewer, software-crafter-reviewer.
test cases passed, vs 19 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.