Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls.
SkillScore91Maintained
Automatic
◆AI Engineer pack
Last verified 8/4/2026
What it changes
Passed 20 of 22 test cases with the skill, and 12 of 22 without it.
Without skill55%
With skill91%
Checks it passed that the model alone missed
Provides the command python3 scripts/workflow_scaffolder.py evaluator.
Advises conducting dry-runs with small context budgets before scaling.
Includes the command call python3 scripts/workflow_scaffolder.py router.
and 6 more in the full report
8 fixed12 passed either way2 still failing0 broke
Pass-rate lift
+36 pp
Tokens
-1%
Agent turns
0%
Response time
-19%
Model gemini-3.6-flashMeasured 8/4/2026v120 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
I want to generate an orchestrator workflow configuration named 'security-triage' using the project's Python CLI tool and output the resulting JSON directly into 'configs/triage.json'. What CLI command executes this?
What was checked, without and with the skill
Checked
Without skill
With skill
Includes python3 scripts/workflow_scaffolder.py orchestrator --name security-triage --output configs/triage.json.
Missed
Passed
case-11 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md78 linessingle file
Agent Workflow Designer
Tier: POWERFUL Category: Engineering Domain: Multi-Agent Systems / AI Orchestration
Overview
Design production-grade multi-agent workflows with clear pattern choice, handoff contracts, failure handling, and cost/context controls.
Core Capabilities
Workflow pattern selection for multi-step agent systems
Skeleton config generation for fast workflow bootstrapping
Context and cost discipline across long-running flows
Error recovery and retry strategy scaffolding
Documentation pointers for operational pattern tradeoffs
When to Use
A single prompt is insufficient for task complexity
You need specialist agents with explicit boundaries
You want deterministic workflow structure before implementation
You need validation loops for quality or safety gates
Quick Start
# Generate a sequential workflow skeleton
python3 scripts/workflow_scaffolder.py sequential --name content-pipeline
# Generate an orchestrator workflow and save it
python3 scripts/workflow_scaffolder.py orchestrator --name incident-triage --output workflows/incident-triage.json