| layout | default |
|---|---|
| title | Chapter 6: Multi-Agent Team Patterns and Production Workflows |
| nav_order | 6 |
| parent | Wshobson Agents Tutorial |
Welcome to Chapter 6: Multi-Agent Team Patterns and Production Workflows. In this part of Wshobson Agents Tutorial: Pluginized Multi-Agent Workflows for Claude Code, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
This chapter focuses on orchestrated workflows where multiple agents collaborate with clear handoffs.
- run multi-agent flows for feature, review, and incident work
- understand orchestration sequencing and handoff quality
- apply team-oriented plugin patterns like
agent-teams - reduce coordination failures in long-running tasks
- architecture design
- implementation stream
- security review
- deployment and observability checks
- split review concerns (architecture, security, performance)
- aggregate findings
- prioritize by severity and blast radius
- triage and root-cause hypothesis
- focused fixes
- regression guards and post-incident documentation
- set explicit scope and stop criteria before orchestration
- enforce final review passes for security-sensitive changes
- keep command logs for incident retrospectives
You now have concrete patterns for reliable multi-agent collaboration.
Next: Chapter 7: Governance, Safety, and Operational Best Practices
The rgb_to_hex function in tools/yt-design-extractor.py handles a key part of this chapter's functionality:
def rgb_to_hex(rgb: tuple) -> str:
"""Convert RGB tuple to hex color string."""
return "#{:02x}{:02x}{:02x}".format(*rgb)
def analyze_color_palettes(frames: list[Path], sample_size: int = 10) -> dict:
"""Analyze color palettes across sampled frames."""
if not COLORTHIEF_AVAILABLE:
return {}
if not frames:
return {}
# Sample frames evenly across the video
step = max(1, len(frames) // sample_size)
sampled = frames[::step][:sample_size]
print(f"[*] Extracting color palettes from {len(sampled)} frames …")
all_colors = []
for frame in sampled:
palette = extract_color_palette(frame)
all_colors.extend(palette)
if not all_colors:
return {}
# Find most common colors (rounded to reduce similar colors)
def round_color(rgb, bucket_size=32):
return tuple((c // bucket_size) * bucket_size for c in rgb)This function is important because it defines how Wshobson Agents Tutorial: Pluginized Multi-Agent Workflows for Claude Code implements the patterns covered in this chapter.
The analyze_color_palettes function in tools/yt-design-extractor.py handles a key part of this chapter's functionality:
def analyze_color_palettes(frames: list[Path], sample_size: int = 10) -> dict:
"""Analyze color palettes across sampled frames."""
if not COLORTHIEF_AVAILABLE:
return {}
if not frames:
return {}
# Sample frames evenly across the video
step = max(1, len(frames) // sample_size)
sampled = frames[::step][:sample_size]
print(f"[*] Extracting color palettes from {len(sampled)} frames …")
all_colors = []
for frame in sampled:
palette = extract_color_palette(frame)
all_colors.extend(palette)
if not all_colors:
return {}
# Find most common colors (rounded to reduce similar colors)
def round_color(rgb, bucket_size=32):
return tuple((c // bucket_size) * bucket_size for c in rgb)
rounded = [round_color(c) for c in all_colors]
most_common = Counter(rounded).most_common(12)
return {
"dominant_colors": [rgb_to_hex(c) for c, _ in most_common[:6]],This function is important because it defines how Wshobson Agents Tutorial: Pluginized Multi-Agent Workflows for Claude Code implements the patterns covered in this chapter.
flowchart TD
A[rgb_to_hex]
B[analyze_color_palettes]
A --> B