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IvanMazeppa
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mission-control

Coordinate PlasmaDX-Clean rendering workflows across specialist agents with logged session decisions.

Updated Oct 4, 2025
Search Tags:#workflow#rendering#multi-agent#coordination#quality-gates#session-logging
One-click install
npx skills add https://github.com/IvanMazeppa/PlasmaDXR --skill mission-control
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mission-control
Source: https://github.com/IvanMazeppa/PlasmaDXR/tree/main/.claude/skills/mission-control
Command: npx skills add https://github.com/IvanMazeppa/PlasmaDXR --skill mission-control

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides strategic orchestration for the PlasmaDX-Clean volumetric rendering project, coordinating multiple specialist agents across rendering, materials, physics, and diagnostics. It enforces quality gates, records decisions with rationale, and maintains persistent session context to guide complex architectural decisions.

Core Features & Use Cases

  • Strategic Coordination: Break down tasks, route handoffs between councils, and aggregate results into actionable recommendations.
  • Decision Recording: Log decisions to docs/sessions/SESSION_<date>.md with supporting artifacts (PIX captures, logs, screenshots).
  • Quality Gate Enforcement: Apply objective metrics (FPS targets, LPIPS-like quality signals, shader build health) before deployment or architectural changes.
  • Human Oversight with Autonomy: Operate autonomously for analysis and recommendations while seeking approval for major architectural changes.

Quick Start

Initiate a new mission-control session for the PlasmaDX-Clean project, define success criteria (quality gates and FPS targets), and establish agent handoffs (rendering, materials, physics, diagnostics). Ensure decisions and artifacts are linked to a persistent session file under docs/sessions/SESSION_<date>.md.

Frequently Asked Questions about mission-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent workflows for a volumetric rendering project?▼

Multi-agent workflow coordination routes specialist tasks across rendering, materials, physics, and diagnostics councils, aggregating results into actionable recommendations. It breaks down tasks and manages handoffs between agents to guide complex architectural decisions.

What is the best way to enforce quality gates for shader builds and rendering performance?▼

Quality gate enforcement applies objective metrics like FPS targets, LPIPS-like quality signals, and shader build health before allowing deployment or architectural changes. This ensures rendering performance and visual quality meet predefined success criteria.

How do I log architectural decisions and link artifacts for a rendering pipeline session?▼

Session logging records decisions with rationale to docs/sessions/SESSION_<date>.md files, linking supporting artifacts like PIX captures, logs, and screenshots. This maintains persistent context for complex architectural choices.

Can I run autonomous analysis on rendering diagnostics while maintaining human oversight?▼

Autonomous analysis operates continuously for diagnostics and recommendations, but seeks human approval for major architectural changes. This balances automated agent handoffs with necessary human oversight for critical rendering pipeline decisions.

How do I validate buffers and capture PIX data during physics and materials rendering tasks?▼

Buffer validation and PIX captures are required components of session logging, ensuring diagnostic artifacts are linked to persistent session files. This supports quality gate enforcement across physics and materials rendering workflows.

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